@article {Sidaoui2020, title = {AI feel you: customer experience assessment via chatbot interviews}, journal = {Journal of Service Management}, year = {2020}, abstract = {Purpose: While customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews. Design/methodology/approach: Drawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach. Findings: The authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms. Research limitations/implications: The proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI{\textquoteright}s value in studying other CE elements. Originality/value: The unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs.}, keywords = {artificial intelligence, chatbot, Customer experience, Customer feelings, Sentiment analysis, Storytelling}, issn = {17575818}, doi = {10.1108/JOSM-11-2019-0341}, author = {Sidaoui, Karim and Jaakkola, Matti and Burton, Jamie} } @article {Black2020, title = {AI-enabled recruiting: What is it and how should a manager use it?}, journal = {Business Horizons}, volume = {63}, number = {2}, year = {2020}, pages = {215{\textendash}226}, publisher = {Elsevier Ltd}, abstract = {AI-enabled recruiting systems have evolved from nice to talk about to necessary to utilize. In this article, we outline the reasons underlying this development. First, as competitive advantages have shifted from tangible to intangible assets, human capital has transitioned from supporting cast to a starring role. Second, as digitalization has redesigned both the business and social landscapes, digital recruiting of human capital has moved from the periphery to center stage. Third, recent and near-future advances in AI-enabled recruiting have improved recruiting efficiency to the point that managers ignore them or procrastinate their utilization at their own peril. In addition to explaining the forces that have pushed AI-enabled recruiting systems from nice to necessary, we outline the key strategic steps managers need to take in order to capture its main benefits.}, keywords = {AI-enabled recruiting, artificial intelligence, Digital recruiting technology, Human resources}, issn = {00076813}, doi = {10.1016/j.bushor.2019.12.001}, url = {https://doi.org/10.1016/j.bushor.2019.12.001}, author = {Black, J Stewart and van Esch, Patrick} } @article {2020, title = {Artificial intelligence and the world of work, a co-constitutive relationship}, journal = {Journal of the Association for Information Science and Technology}, year = {2020}, abstract = {

The use of intelligent machines{\textemdash}digital technologies that feature data- driven forms of customization, learning, and autonomous action{\textemdash}is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information profes- sionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination net- work (note: https://waim.network).

}, issn = {2330-1635}, doi = {10.1002/asi.24388}, author = {{\O}sterlund, Carsten and Jarrahi, Mohammad Hossein and Willis, Matthew and Boyd, Karen and Wolf, Christine} } @article {Bessen2020, title = {Automation: A Guide for Policymakers}, year = {2020}, institution = {Brookings Institute}, abstract = {

\ldots evidence that automation is causing mass unemployment, perhaps things are about to change. Some people, such as Martin Ford (2015), argue that {\textquotedblleft}this time is different.{\textquotedblright} Perhaps the rate of technological change is much more rapid with new artificial intelligence technologies \ldots

}, url = {https://www.brookings.edu/research/automation-a-guide-for-policymakers/}, author = {Bessen, James and Goos, Maarten and Salomons, Anna and van den Berge, Wiljan} } @article {Bansal2020, title = {Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance}, year = {2020}, abstract = {

Increasingly, organizations are pairing humans with AI systems to improve decision-making and reducing costs. Proponents of human-centered AI argue that team performance can even further improve when the AI model explains its recommendations. However, a careful analysis of existing literature reveals that prior studies observed improvements due to explanations only when the AI, alone, outperformed both the human and the best human-AI team. This raises an important question: can explanations lead to complementary performance, i.e., with accuracy higher than both the human and the AI working alone? We address this question by devising comprehensive studies on human-AI teaming, where participants solve a task with help from an AI system without explanations and from one with varying types of AI explanation support. We carefully controlled to ensure comparable human and AI accuracy across experiments on three NLP datasets (two for sentiment analysis and one for question answering). While we found complementary improvements from AI augmentation, they were not increased by state-of-the-art explanations compared to simpler strategies, such as displaying the AI{\textquoteright}s confidence. We show that explanations increase the chance that humans will accept the AI{\textquoteright}s recommendation regardless of whether the AI is correct. While this clarifies the gains in team performance from explanations in prior work, it poses new challenges for human-centered AI: how can we best design systems to produce complementary performance? Can we develop explanatory approaches that help humans decide whether and when to trust AI input?

}, url = {http://arxiv.org/abs/2006.14779}, author = {Bansal, Gagan and Wu, Tongshuang and Zhou, Joyce and Fok, Raymond and Nushi, Besmira and Kamar, Ece and Ribeiro, Marco Tulio and Weld, Daniel S.} } @article {Abeliansky2020, title = {The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation}, journal = {IZA Discussion Paper Series}, number = {12962}, year = {2020}, keywords = {demography, labor, unemployment}, url = {www.iza.org}, author = {Abeliansky, Ana and Algur, Eda and Bloom, David E and Prettner, Klaus} } @article {Abeliansky2020, title = {The Future of Work: Meeting the Global Challenge of Demographic Change and Automation}, journal = {International Labour Review}, number = {April}, year = {2020}, pages = {1{\textendash}28}, abstract = {We explore future job creation needs under conditions of demographic, economic, and technological change. First, we estimate the implications for job creation in 2020{\textendash}2030 of population growth, changes in labor force participation, and the achievement of target unemployment rates, by age and gender. Second, we analyze the job creation needs by country income group. Finally, we examine the effects of accelerated automation. Overall, shifting demographics, changing labor force participation rates, reductions in unemployment to target levels of 8/4 percent (youth/adults), and automation combine to require the creation of approximately 340 million jobs in 2020{\textendash}2030.}, issn = {0020-7780}, doi = {10.1111/ilr.12168}, author = {Abeliansky, Ana L. and Algur, Eda and Bloom, David E and Prettner, Klaus} } @article {B{\ae}r{\o}e2020, title = {How to achieve trustworthy artificial intelligence for health}, journal = {Bulletin of the World Health Organization}, volume = {98}, number = {4}, year = {2020}, pages = {257{\textendash}262}, abstract = {Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventive and curative interventions. At the same time, there is also awareness of potential risks and harm that may be caused by unregulated developments of artificial intelligence. Guiding principles are being developed around the world to foster trustworthy development and application of artificial intelligence systems. These guidelines can support developers and governing authorities when making decisions about the use of artificial intelligence. The HighLevel Expert Group on Artificial Intelligence set up by the European Commission launched the report Ethical guidelines for trustworthy artificial intelligence in 2019. The report aims to contribute to reflections and the discussion on the ethics of artificial intelligence technologies also beyond the countries of the European Union (EU). In this paper, we use the global health sector as a case and argue that the EU{\textquoteright}s guidance leaves too much room for local, contextualized discretion for it to foster trustworthy artificial intelligence globally. We point to the urgency of shared globalized efforts to safeguard against the potential harms of artificial intelligence technologies in health care.}, issn = {15640604}, doi = {10.2471/BLT.19.237289}, author = {B{\ae}r{\o}e, Kristine and Miyata-Sturm, Ainar and Henden, Edmund} } @proceedings {9999, title = {Impacts of the Use of Machine Learning on Work Design}, year = {2020}, month = {11/2020}, publisher = {ACM}, address = {Virtual Event, NSW, Australia}, abstract = {

The increased pervasiveness of technological advancements in automation makes it urgent to address the question of how work is changing in response. Focusing on applications of machine learning (ML) to automate information tasks, we draw on a simple framework for identifying the impacts of an automated system on a task that suggests 3 patterns for the use of ML{\textemdash}decision support, blended decision making and complete automation. In this paper, we extend this framework by considering how automation of one task might have implications for interdependent tasks and how automation applies to coordination mechanisms.

}, keywords = {artificial intelligence, automation, Coordination, machine learning, work design}, isbn = {978-1-4503-8054-6/20/11}, doi = {10.1145/3406499.3415070}, attachments = {https://waim.network/sites/crowston.syr.edu/files/Impacts_of_ML_for_HAI_2020.pdf}, author = {Kevin Crowston and Bolici, Francesco} } @conference {Das2020, title = {Learning occupational task-shares dynamics for the future of work}, booktitle = {AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society}, year = {2020}, pages = {36{\textendash}42}, abstract = {The recent wave of AI and automation has been argued to differ from previous General Purpose Technologies (GPTs), in that it may lead to rapid change in occupations{\textquoteright} underlying task requirements and persistent technological unemployment. In this paper, we apply a novel methodology of dynamic task shares to a large dataset of online job postings to explore how exactly occupational task demands have changed over the past decade of AI innovation, especially across high, mid and low wage occupations. Notably, big data and AI have risen significantly among high wage occupations since 2012 and 2016, respectively. We built an ARIMA model to predict future occupational task demands and showcase several relevant examples in Healthcare, Administration, and IT. Such task demands predictions across occupations will play a pivotal role in retraining the workforce of the future.}, keywords = {AI, automation, future of work, Occupational Task Demands}, isbn = {9781450371100}, doi = {10.1145/3375627.3375826}, author = {Das, Subhro and Steffen, Sebastian and Clarke, Wyatt and Reddy, Prabhat and Brynjolfsson, Erik and Fleming, Martin} } @article {Seeber2020, title = {Machines as teammates: A research agenda on AI in team collaboration}, journal = {Information and Management}, volume = {57}, number = {2}, year = {2020}, pages = {103174}, publisher = {Elsevier}, abstract = {What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas {\textendash} Machine artifact, Collaboration, and Institution {\textendash} and 17 dualities {\textendash} significant effects with the potential for benefit or harm. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.}, keywords = {artificial intelligence, Design, Duality, Research agenda, Team collaboration}, issn = {03787206}, doi = {10.1016/j.im.2019.103174}, url = {https://doi.org/10.1016/j.im.2019.103174}, author = {Seeber, Isabella and Bittner, Eva and Briggs, Robert O and de Vreede, Triparna and de Vreede, Gert Jan and Elkins, Aaron and Maier, Ronald and Merz, Alexander B and Oeste-Rei{\ss}, Sarah and Randrup, Nils and Schwabe, Gerhard and S{\"o}llner, Matthias} } @article {Theresa2020, title = {Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation}, journal = {The TQM Journal}, volume = {ahead-of-p}, number = {ahead-of-print}, year = {2020}, month = {jan}, abstract = {Purpose This paper explores if and how Artificial Intelligence can contribute to marketing strategy formulation.Design/methodology/approach Qualitative research based on exploratory in-depth interviews with industry experts currently working with artificial intelligence tools.Findings Key themes include: (1) Importance of AI in strategic marketing decision management; (2) Presence of AI in strategic decision management; (3) Role of AI in strategic decision management; (4) Importance of business culture for the use of AI; (5) Impact of AI on the business{\textquoteright} organizational model. A key consideration is a {\textquotedblleft}creative-possibility perspective,{\textquotedblright} highlighting the future potential to use AI not only for rational but also for creative thinking purposes.Research limitations/implications This work is focused only on strategy creation as a deliberate process. For this, AI can be used as an effective response to the external contingencies of high volumes of data and uncertain environmental conditions, as well as being an effective response to the external contingencies of limited managerial cognition. A key future consideration is a {\textquotedblleft}creative-possibility perspective.{\textquotedblright}Practical implications A practical extension of the Gartner Analytics Ascendancy Model (Maoz, 2013).Originality/value This paper aims to contribute knowledge relating to the role of AI in marketing strategy formulation and explores the potential avenues for future use of AI in the strategic marketing process. This is explored through the lens of contingency theory, and additionally, findings are expressed using the Gartner analytics ascendancy model.}, keywords = {AI, artificial intelligence, creativity, marketing strategy, marketing synergy, paper type research paper, rationality, tqm}, isbn = {1754-2731}, doi = {10.1108/TQM-12-2019-0303}, url = {https://doi.org/10.1108/TQM-12-2019-0303}, author = {Theresa, Eriksson and Alessandro, Bigi and Michelle, Bonera and Eriksson, Theresa and Bigi, Alessandro and Bonera, Michelle and Theresa, Eriksson and Alessandro, Bigi and Michelle, Bonera} } @article {Brundage2020, title = {Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims}, year = {2020}, pages = {1{\textendash}9}, abstract = {With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose{\textendash}spanning institutions, software, and hardware{\textendash}and make recommendations aimed at implementing, exploring, or improving those mechanisms.}, url = {http://arxiv.org/abs/2004.07213}, author = {Brundage, Miles and Avin, Shahar and Wang, Jasmine and Belfield, Haydn and Krueger, Gretchen and Hadfield, Gillian and Khlaaf, Heidy and Yang, Jingying and Toner, Helen and Fong, Ruth and Maharaj, Tegan and Koh, Pang Wei and Hooker, Sara and Leung, Jade and Trask, Andrew and Bluemke, Emma and Lebensold, Jonathan and O{\textquoteright}Keefe, Cullen and Koren, Mark and Ryffel, Th{\'e}o and Rubinovitz, JB and Besiroglu, Tamay and Carugati, Federica and Clark, Jack and Eckersley, Peter and de Haas, Sarah and Johnson, Maritza and Laurie, Ben and Ingerman, Alex and Krawczuk, Igor and Askell, Amanda and Cammarota, Rosario and Lohn, Andrew and Krueger, David and Stix, Charlotte and Henderson, Peter and Graham, Logan and Prunkl, Carina and Martin, Bianca and Seger, Elizabeth and Zilberman, Noa and H{\'E}igeartaigh, Se{\'a}n {\'O} and Kroeger, Frens and Sastry, Girish and Kagan, Rebecca and Weller, Adrian and Tse, Brian and Barnes, Elizabeth and Dafoe, Allan and Scharre, Paul and Herbert-Voss, Ariel and Rasser, Martijn and Sodhani, Shagun and Flynn, Carrick and Gilbert, Thomas Krendl and Dyer, Lisa and Khan, Saif and Bengio, Yoshua and Anderljung, Markus} } @article {2019, title = {AI-Based Digital Assistants}, journal = {Business \& Information Systems Engineering}, volume = {61}, year = {2019}, month = {Jan-08-2019}, pages = {535 - 544}, issn = {2363-7005}, doi = {10.1007/s12599-019-00600-8}, author = {Maedche, Alexander and Legner, Christine and Benlian, Alexander and Berger, Benedikt and Gimpel, Henner and Hess, Thomas and Hinz, Oliver and Morana, Stefan and S{\"o}llner, Matthias} } @article {2019, title = {Applications of artificial intelligence to imaging and diagnosis}, journal = {Biophysical Reviews}, volume = {11}, year = {2019}, month = {Jan-02-2019}, pages = {111 - 118}, issn = {1867-2450}, doi = {10.1007/s12551-018-0449-9}, author = {Nichols, James A. and Herbert Chan, Hsien W. and Baker, Matthew A. B.} } @article {2019, title = {Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers}, journal = {Industrial Management \& Data Systems}, volume = {119}, year = {2019}, month = {Dec-08-2019}, pages = {1411 - 1430}, issn = {0263-5577}, doi = {10.1108/IMDS-08-2018-0368}, author = {Belanche, Daniel and Casal{\'o}, Luis V. and Flavi{\'a}n, Carlos} } @article {2019, title = {Artificial intelligence in medicine: What is it doing for us today?}, journal = {Health Policy and Technology}, volume = {8}, year = {2019}, month = {Jan-06-2019}, pages = {198 - 205}, issn = {22118837}, doi = {10.1016/j.hlpt.2019.03.004}, author = {Becker, Aliza} } @conference {2019, title = {Beyond Dyadic Interactions: Considering Chatbots as Community Members}, booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI {\textquoteright}19}, year = {2019}, pages = {1-13}, publisher = {ACM Press}, organization = {ACM Press}, address = {Glasgow, Scotland UK}, isbn = {9781450359702}, doi = {10.1145/3290605}, author = {Seering, Joseph and Luria, Michal and Kaufman, Geoff and Hammer, Jessica} } @article {2019, title = {Bots Coordinating Work in Open Source Software Projects}, journal = {Computer}, volume = {52}, year = {2019}, month = {Jan-09-2019}, pages = {52 - 60}, issn = {0018-9162}, doi = {10.1109/MC.2018.2885970}, author = {Hukal, Philipp and Berente, Nicholas and Germonprez, Matt and Schecter, Aaron} } @conference {2019, title = {A chatbot for supporting teams in the empathy map method}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences}, year = {2019}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2019.029}, author = {Bittner, Eva and Shoury, Omid} } @article {2019, title = {Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark}, journal = {European Journal of Cancer}, volume = {111}, year = {2019}, month = {Jan-04-2019}, pages = {30 - 37}, issn = {09598049}, doi = {10.1016/j.ejca.2018.12.016}, author = {Brinker, Titus J. and Hekler, Achim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Alexander Enk and Haferkamp, Sebastian and Karoglan, Ante and von Kalle, Christof and Weichenthal, Michael and Sattler, Elke and Schadendorf, Dirk and Gaiser, Maria R. and Klode, Joachim and Jochen Sven Utikal} } @article {2019, title = {A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task}, journal = {European Journal of Cancer}, volume = {111}, year = {2019}, month = {Jan-04-2019}, pages = {148 - 154}, issn = {09598049}, doi = {10.1016/j.ejca.2019.02.005}, author = {Brinker, Titus J. and Hekler, Achim and Alexander Enk and Klode, Joachim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Haferkamp, Sebastian and Schadendorf, Dirk and Fr{\"o}hling, Stefan and Jochen Sven Utikal and von Kalle, Christof and Ludwig-Peitsch, Wiebke and Sirokay, Judith and Heinzerling, Lucie and Albrecht, Magarete and Baratella, Katharina and Bischof, Lena and Chorti, Eleftheria and Dith, Anna and Drusio, Christina and Giese, Nina and Gratsias, Emmanouil and Griewank, Klaus and Hallasch, Sandra and Hanhart, Zdenka and Herz, Saskia and Hohaus, Katja and Jansen, Philipp and Jockenh{\"o}fer, Finja and Kanaki, Theodora and Knispel, Sarah and Leonhard, Katja and Martaki, Anna and Matei, Liliana and Matull, Johanna and Olischewski, Alexandra and Petri, Maximilian and Placke, Jan-Malte and Raub, Simon and Salva, Katrin and Schlott, Swantje and Sody, Elsa and Steingrube, Nadine and Stoffels, Ingo and Ugurel, Selma and Sondermann, Wiebke and Zaremba, Anne and Gebhardt, Christoffer and Booken, Nina and Christolouka, Maria and Buder-Bakhaya, Kristina and Bokor-Billmann, Therezia and Alexander Enk and Gholam, Patrick and H{\"a}n{\ss}le, Holger and Salzmann, Martin and Sch{\"a}fer, Sarah and Sch{\"a}kel, Knut and Schank, Timo and Bohne, Ann-Sophie and Deffaa, Sophia and Drerup, Katharina and Egberts, Friederike and Erkens, Anna-Sophie and Ewald, Benjamin and Falkvoll, Sandra and Gerdes, Sascha and Harde, Viola and Hauschild, Axel and Jost, Marion and Kosova, Katja and Messinger, Laetitia and Metzner, Malte and Morrison, Kirsten and Motamedi, Rogina and Pinczker, Anja and Rosenthal, Anne and Scheller, Natalie and Schwarz, Thomas and St{\"o}lzl, Dora and Thielking, Federieke and Tomaschewski, Elena and Wehkamp, Ulrike and Weichenthal, Michael and Wiedow, Oliver and B{\"a}r, Claudia Maria and Bender-S{\"a}belkampf, Sophia and Horbr{\"u}gger, Marc and Karoglan, Ante and Kraas, Luise and Faulhaber, J{\"o}rg and Geraud, Cyrill and Guo, Ze and Koch, Philipp and Linke, Miriam and Maurier, Nolwenn and M{\"u}ller, Verena and Thomas, Benjamin and Jochen Sven Utikal and Alamri, Ali Saeed M. and Baczako, Andrea and Berking, Carola and Betke, Matthias and Haas, Carolin and Hartmann, Daniela and Heppt, Markus V. and Kilian, Katharina and Krammer, Sebastian and Lapczynski, Natalie Lidia and Mastnik, Sebastian and Nasifoglu, Suzan and Ruini, Cristel and Sattler, Elke and Schlaak, Max and Wolff, Hans and Achatz, Birgit and Bergbreiter, Astrid and Drexler, Konstantin and Ettinger, Monika and Haferkamp, Sebastian and Halupczok, Anna and Hegemann, Marie and Dinauer, Verena and Maagk, Maria and Mickler, Marion and Philipp, Biance and Wilm, Anna and Wittmann, Constanze and Gesierich, Anja and Glutsch, Valerie and Kahlert, Katrin and Kerstan, Andreas and Schilling, Bastian and Schr{\"u}fer, Philipp} } @article {2019, title = {Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task}, journal = {European Journal of Cancer}, volume = {113}, year = {2019}, month = {Jan-05-2019}, pages = {47 - 54}, issn = {09598049}, doi = {10.1016/j.ejca.2019.04.001}, author = {Brinker, Titus J. and Hekler, Achim and Alexander Enk and Klode, Joachim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Haferkamp, Sebastian and Schadendorf, Dirk and Holland-Letz, Tim and Jochen Sven Utikal and von Kalle, Christof and Ludwig-Peitsch, Wiebke and Sirokay, Judith and Heinzerling, Lucie and Albrecht, Magarete and Baratella, Katharina and Bischof, Lena and Chorti, Eleftheria and Dith, Anna and Drusio, Christina and Giese, Nina and Gratsias, Emmanouil and Griewank, Klaus and Hallasch, Sandra and Hanhart, Zdenka and Herz, Saskia and Hohaus, Katja and Jansen, Philipp and Jockenh{\"o}fer, Finja and Kanaki, Theodora and Knispel, Sarah and Leonhard, Katja and Martaki, Anna and Matei, Liliana and Matull, Johanna and Olischewski, Alexandra and Petri, Maximilian and Placke, Jan-Malte and Raub, Simon and Salva, Katrin and Schlott, Swantje and Sody, Elsa and Steingrube, Nadine and Stoffels, Ingo and Ugurel, Selma and Zaremba, Anne and Gebhardt, Christoffer and Booken, Nina and Christolouka, Maria and Buder-Bakhaya, Kristina and Bokor-Billmann, Therezia and Alexander Enk and Gholam, Patrick and H{\"a}n{\ss}le, Holger and Salzmann, Martin and Sch{\"a}fer, Sarah and Sch{\"a}kel, Knut and Schank, Timo and Bohne, Ann-Sophie and Deffaa, Sophia and Drerup, Katharina and Egberts, Friederike and Erkens, Anna-Sophie and Ewald, Benjamin and Falkvoll, Sandra and Gerdes, Sascha and Harde, Viola and Hauschild, Axel and Jost, Marion and Kosova, Katja and Messinger, Laetitia and Metzner, Malte and Morrison, Kirsten and Motamedi, Rogina and Pinczker, Anja and Rosenthal, Anne and Scheller, Natalie and Schwarz, Thomas and St{\"o}lzl, Dora and Thielking, Federieke and Tomaschewski, Elena and Wehkamp, Ulrike and Weichenthal, Michael and Wiedow, Oliver and B{\"a}r, Claudia Maria and Bender-S{\"a}belkampf, Sophia and Horbr{\"u}gger, Marc and Karoglan, Ante and Kraas, Luise and Faulhaber, J{\"o}rg and Geraud, Cyrill and Guo, Ze and Koch, Philipp and Linke, Miriam and Maurier, Nolwenn and M{\"u}ller, Verena and Thomas, Benjamin and Jochen Sven Utikal and Alamri, Ali Saeed M. and Baczako, Andrea and Berking, Carola and Betke, Matthias and Haas, Carolin and Hartmann, Daniela and Heppt, Markus V. and Kilian, Katharina and Krammer, Sebastian and Lapczynski, Natalie Lidia and Mastnik, Sebastian and Nasifoglu, Suzan and Ruini, Cristel and Sattler, Elke and Schlaak, Max and Wolff, Hans and Achatz, Birgit and Bergbreiter, Astrid and Drexler, Konstantin and Ettinger, Monika and Haferkamp, Sebastian and Halupczok, Anna and Hegemann, Marie and Dinauer, Verena and Maagk, Maria and Mickler, Marion and Philipp, Biance and Wilm, Anna and Wittmann, Constanze and Gesierich, Anja and Glutsch, Valerie and Kahlert, Katrin and Kerstan, Andreas and Schilling, Bastian and Schr{\"u}fer, Philipp} } @article {2019, title = {Economic, Social Impacts and Operation of Smart Factories in Industry 4.0 Focusing on Simulation and Artificial Intelligence of Collaborating Robots}, journal = {Social Sciences}, volume = {8}, year = {2019}, month = {Jan-05-2019}, pages = {143}, doi = {10.3390/socsci8050143}, author = {Benotsmane, Rabab and Kov{\'a}cs, Gy{\"o}rgy and Dud{\'a}s, L{\'a}szl{\'o}} } @book {2019, title = {The emergence of complexity}, year = {2019}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-31837-6}, issn = {2366-1658}, doi = {10.1007/978-3-030-31839-0}, author = {Hager, Paul and Beckett, David} } @article {2019, title = {Emotional processes in human-robot interaction during brief cognitive testing}, journal = {Computers in Human Behavior}, volume = {90}, year = {2019}, month = {Jan-01-2019}, pages = {331 - 342}, issn = {07475632}, doi = {10.1016/j.chb.2018.08.013}, author = {Desideri, Lorenzo and Ottaviani, Cristina and Malavasi, Massimiliano and di Marzio, Roberto and Bonifacci, Paola} } @conference {2019, title = {Fairer but not fair enough on the equitability of knowledge tracing}, booktitle = {the 9th International ConferenceProceedings of the 9th International Conference on Learning Analytics \& Knowledge - LAK19}, year = {2019}, pages = {335 - 339}, publisher = {ACM Press}, organization = {ACM Press}, address = {Tempe, AZ, USANew York, New York, USA}, isbn = {9781450362566}, doi = {10.1145/3303772.3303838}, author = {Doroudi, Shayan and Brunskill, Emma} } @article {2019, title = {From immigrants to robots: The changing locus of substitutes for workers}, year = {2019}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, doi = {10.3386/w25438}, url = {http://www.nber.org/papers/w25438.pdf}, author = {Borjas, George and Freeman, Richard} } @article {2019, title = {The future of women at work}, volume = {McKinsey Global Institute}, year = {2019}, month = {06/2019}, keywords = {consulting reports}, url = {https://www.mckinsey.com/~/media/mckinsey/featured\%20insights/gender\%20equality/the\%20future\%20of\%20women\%20at\%20work\%20transitions\%20in\%20the\%20age\%20of\%20automation/mgi-the-future-of-women-at-work-full-report-june\%202019.ashx}, author = {Anu Madgavkar and James Manyika and Mekala Krishnan and Kweilin Ellingrud and Lareina Yee and Jonathan Woetzel and Michael Chui and Vivian Hunt and Sruti Balakrishnan} } @conference {2019, title = {How May I Help You? {\textendash} State of the Art and Open Research Questions for Chatbots at the Digital Workplace}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences}, year = {2019}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, isbn = {978-0-9981331-2-6}, doi = {10.24251/HICSS.2019.013}, author = {Meyer von Wolff, Raphael and Hobert, Sebastian and Schumann, Matthias} } @proceedings {2019, title = {How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany}, volume = {Lecture Notes in Computer Science 11685}, year = {2019}, pages = {233-247}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.}, isbn = {978-3-030-27324-8}, issn = {0302-9743}, doi = {10.1007/978-3-030-27325-5}, author = {Balta, Dian and Kuhn, Peter and Sellami, Mahdi and Kulus, Daniel and Lieven, Claudius and Krcmar, Helmut}, editor = {Lindgren, Ida and Janssen, Marijn and Lee, Habin and Polini, Andrea and Rodr{\'\i}guez Bol{\'\i}var, Manuel Pedro and Scholl, Hans Jochen and Tambouris, Efthimios} } @article {2019, title = {The impact of emerging technologies on work: a review of the evidence and implications for the human resource function}, journal = {Emerald Open Research}, volume = {1}, year = {2019}, month = {Jan-01-2019}, pages = {5}, doi = {10.12688/emeraldopenres.12907.1}, author = {Parry, Emma and Battista, Valentina} } @proceedings {9999, title = {Impacts of machine learning on work}, year = {2019}, address = {Wailea, HI}, abstract = {

The increased pervasiveness of technological advancements in automation makes it urgent to address the question of how work is changing in response. Focusing on applications of machine learning (ML) that automate information tasks, we present a simple framework for identifying the impacts of an automated system on a task. From an analysis of popular press articles about ML, we develop 3 patterns for the use of ML--decision support, blended decision making and complete automation--with implications for the kinds of tasks and systems. We further consider how automation of one task might have implications for other interdependent tasks. Our main conclusion is that designers have a range of options for systems and that automation of tasks is not the same as automation of work.

}, keywords = {artificial intelligence, automation, machine learning, work design}, doi = {10.24251/HICSS.2019.719}, url = { http://hdl.handle.net/10125/60031}, attachments = {https://waim.network/sites/crowston.syr.edu/files/Impacts_of_machine_learning_on_work__revision_.pdf}, author = {Kevin Crowston and Bolici, Francesco} } @conference {2019, title = {Machine learning in Artificial Intelligence: Towards a common understanding}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences}, year = {2019}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2019.630}, author = {K{\"u}hl, Niklas and Goutier, Marc and Hirt, Robin and Satzger, Gerhard} } @article {2019, title = {Marketing AI recruitment: The next phase in job application and selection}, journal = {Computers in Human Behavior}, volume = {90}, year = {2019}, month = {Jan-01-2019}, pages = {215 - 222}, issn = {07475632}, doi = {10.1016/j.chb.2018.09.009}, author = {van Esch, Patrick and Black, J. Stewart and Ferolie, Joseph} } @article {2019, title = {Mitigating bias in algorithmic employment screening: Evaluating claims and practices}, year = {2019}, abstract = {

There has been rapidly growing interest in the use of algorithms for employment assessment,especially as a means to address or mitigate bias in hiring. Yet, to date, little is known abouthow these methods are being used in practice. How are algorithmic assessments built, vali-dated, and examined for bias? In this work, we document and assess the claims and practicesof companies offering algorithms for employment assessment, using a methodology that can beapplied to evaluate similar applications and issues of bias in other domains. In particular, weidentify vendors of algorithmic pre-employment assessments (i.e., algorithms to screen candi-dates), document what they have disclosed about their development and validation procedures,and evaluate their techniques for detecting and mitigating bias. We find that companies{\textquoteright} for-mulation of {\textquotedblleft}bias{\textquotedblright} varies, as do their approaches to dealing with it. We also discuss the variouschoices vendors make regarding data collection and prediction targets, in light of the risks andtrade-offs that these choices pose. We consider the implications of these choices and we raise anumber of technical and legal considerations.

}, keywords = {social power of algorithms}, url = {https://www.researchgate.net/publication/333971698_Mitigating_Bias_in_Algorithmic_Employment_Screening_Evaluating_Claims_and_Practices}, author = {Manish Raghavan and Solon Barocas and Jon KleinbergKaren Levy} } @article {2019, title = {The moderating roles of perceived organizational support and competitive psychological climate}, journal = {Tourism Management}, volume = {73}, year = {2019}, month = {Jan-08-2019}, pages = {172 - 181}, issn = {02615177}, doi = {10.1016/j.tourman.2019.02.006}, author = {Li, Jun (Justin) and Bonn, Mark A. and Ye, Ben Haobin} } @article {2019, title = {The present and future of deep learning in radiology}, journal = {European Journal of Radiology}, volume = {114}, year = {2019}, month = {Jan-05-2019}, pages = {14 - 24}, issn = {0720048X}, doi = {10.1016/j.ejrad.2019.02.038}, url = {https://doi.org/10.1016/j.ejrad.2019.02.038}, author = {Saba, Luca and Biswas, Mainak and Kuppili, Venkatanareshbabu and Cuadrado Godia, Elisa and Suri, Harman S. and Edla, Damodar Reddy and Omerzu, Toma{\v z} and Laird, John R. and Khanna, Narendra N. and Mavrogeni, Sophie and Protogerou, Athanasios and Sfikakis, Petros P. and Viswanathan, Vijay and Kitas, George D. and Nicolaides, Andrew and Gupta, Ajay and Suri, Jasjit S.} } @conference {2019, title = {The roles of initiated and received task interdependence}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences}, year = {2019}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2019.119}, author = {Berntzen, Marthe and Wong, Sut I} } @article {2019, title = {Is this time different? How digitalization influences job creation and destruction}, journal = {Research Policy}, volume = {48}, year = {2019}, month = {Jan-10-2019}, pages = {103765}, issn = {00487333}, doi = {10.1016/j.respol.2019.03.010}, author = {Balsmeier, Benjamin and Woerter, Martin} } @article {Frank2019, title = {Toward understanding the impact of artificial intelligence on labor}, journal = {Proceedings of the National Academy of Sciences}, volume = {116}, year = {2019}, month = {apr}, pages = {6531{\textendash}6539}, abstract = {

Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work (e.g., the dynamic requirements of occupations), lack of empirically informed models of key microlevel processes (e.g., skill substitution and human{\textendash}machine complementarity), and insufficient understanding of how cognitive technologies interact with broader economic dynamics and institutional mechanisms (e.g., urban migration and international trade policy). Overcoming these barriers requires improvements in the longitudinal and spatial resolution of data, as well as refinements to data on workplace skills. These improvements will enable multidisciplinary research to quantitatively monitor and predict the complex evolution of work in tandem with technological progress. Finally, given the fundamental uncertainty in predicting technological change, we recommend developing a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior.

}, issn = {0027-8424}, doi = {10.1073/pnas.1900949116}, url = {http://www.pnas.org/lookup/doi/10.1073/pnas.1900949116}, author = {Frank, Morgan R and Autor, David and Bessen, James E and Brynjolfsson, Erik and Cebrian, Manuel and Deming, David J and Feldman, Maryann and Groh, Matthew and Lobo, Jos{\'e} and Moro, Esteban and Wang, Dashun and Youn, Hyejin and Rahwan, Iyad} } @article {2019, title = {Towards intelligent regulation of Artificial Intelligence}, journal = {European Journal of Risk Regulation}, volume = {10}, year = {2019}, month = {Jan-03-2019}, pages = {41 - 59}, issn = {1867-299X}, doi = {10.1017/err.2019.8}, author = {BUITEN, Miriam C} } @article {2019, title = {Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media}, journal = {Big Data \& Society}, volume = {6}, year = {2019}, month = {May-01-2019}, pages = {205395171881956}, issn = {2053-9517}, doi = {10.1177/2053951718819569}, author = {Bechmann, Anja and Bowker, Geoffrey C} } @article {2018, title = {Accounting for the neglected dimensions of AI progress}, journal = {data-efficient ML}, year = {2018}, url = {https://arxiv.org/abs/1806.00610}, author = {Fernando Martine-Plumed and Shahar Avin and Miles Brundage and Allan Dafoe and Sean O hEigeartaigh and Jos{\'e} Hern{\'a}ndez-Orallo} } @article {2018, title = {AI Could Provide Moment-by-Moment Nursing for a Hospital{\textquoteright}s Sickest Patients}, year = {2018}, url = {https://globaltechnologies.ca/ai-could-provide-moment-by-moment-nursing-for-a-hospitals-sickest-patients/}, author = {Behnood Gholami and Wassim M. Haddad and James M. Bailey} } @article {2018, title = {Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review}, journal = {Journal of Affective Disorders}, volume = {241}, year = {2018}, pages = {519-532}, issn = {01650327}, doi = {10.1016/j.jad.2018.08.073}, author = {Lee, Yena and Ragguett, Renee-Marie and Mansur, Rodrigo B. and Boutilier, Justin J. and Rosenblat, Joshua D. and Trevizol, Alisson and Brietzke, Elisa and Lin, Kangguang and Pan, Zihang and Subramaniapillai, Mehala and Chan, Timothy C.Y. and Fus, Dominika and Park, Caroline and Musial, Natalie and Zuckerman, Hannah and Chen, Vincent Chin-Hung and Ho, Roger and Rong, Carola and McIntyre, Roger S.} } @article {2018, title = {Are You Working with AI or Being Replaced by AI?}, journal = {Radiology}, volume = {287}, year = {2018}, month = {Jan-05-2018}, pages = {365 - 366}, issn = {0033-8419}, doi = {10.1148/radiol.2018184007}, author = {Bluemke, David A.} } @article {2018, title = {Artificial intelligence can transform the economy}, year = {2018}, month = {09/2018}, url = {https://www.washingtonpost.com/opinions/artificial-intelligence-can-transform-the-economy/2018/09/18/50c9c9c8-bab8-11e8-bdc0-90f81cc58c5d_story.html}, author = {Erik Brynjolfsson and Xiang Hui and Meng Liu} } @conference {2018, title = {Assisting tourism in rural Southern Africa using machine learning}, year = {2018}, publisher = {IEEE}, organization = {IEEE}, abstract = {Tourism is a major contributor to employment in southern Africa and a major contributor to gross domestic products of many southern African countries. One of the major tourist attractions in many southern African countries is the wild animals. Major national parks such as Etosha in Namibia and Central Kalahari in Botswana often have rangers available to assist tourists on their game safaris by recognising animals and describing their habitats. Many of the smaller reserves, however, do not have the luxury of rangers available to tourists. At such smaller reserves, tourists are left on their own to recognise the various animals. This paper describes the use of Google{\textquoteright}s TensorFlow to create an image recogniser trained for southern African mammals. The recogniser was embedded in an Android mobile app and could then assist tourists at smaller reserves.}, url = {https://ieeexplore.ieee.org/document/8465441}, author = {Laurie Butgereit and Laura Martinus} } @article {2018, title = {Automating the black art: Creative places for artificial intelligence in audio mastering}, journal = {Geoforum}, volume = {96}, year = {2018}, pages = {77-86}, issn = {00167185}, doi = {10.1016/j.geoforum.2018.08.005}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0016718518302392}, author = {Birtchnell, Thomas and Elliott, Anthony} } @article {2018, title = {Automation and the future of work}, journal = {Centre for International Governance Innovation}, year = {2018}, url = {https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options}, author = {Joel Blit and Samantha St. Amand and Joanna Wajda} } @article {seidel2018autonomous, title = {Autonomous tools and design: a triple-loop approach to human-machine learning}, journal = {Communications of the ACM}, volume = {62}, year = {2018}, pages = {50{\textendash}57}, publisher = {ACM}, author = {Seidel, Stefan and Berente, Nicholas and Lindberg, Aron and Lyytinen, Kalle and Jeffrey V Nickerson} } @article {seidel2018autonomous, title = {Autonomous Tools in System Design: Reflective Practice in Ubisofts Ghost Recon Wildlands Project}, journal = {Computer}, volume = {51}, year = {2018}, pages = {16{\textendash}23}, publisher = {IEEE}, author = {Seidel, Stefan and Berente, Nicholas and Martinez, Beno\^{\i}t and Lindberg, Aron and Lyytinen, Kalle and Jeffrey V Nickerson} } @article {2018, title = {Boundary spanning at the science{\textendash}policy interface: the practitioners{\textquoteright} perspectives}, journal = {Sustainability Science}, volume = {13}, year = {2018}, month = {Jan-07-2018}, pages = {1175 - 1183}, issn = {1862-4065}, doi = {10.1007/s11625-018-0550-9}, author = {Bednarek, A. T. and Wyborn, C. and Cvitanovic, C. and Meyer, R. and Colvin, R. M. and Addison, P. F. E. and Close, S. L. and Curran, K. and Farooque, M. and Goldman, E. and Hart, D. and Mannix, H. and McGreavy, B. and Parris, A. and Posner, S. and Robinson, C. and Ryan, M. and Leith, P.} } @article {2018, title = {A critical approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system}, journal = {Information and Organization}, volume = {28}, year = {2018}, month = {Jan-09-2018}, pages = {111 - 128}, issn = {14717727}, doi = {10.1016/j.infoandorg.2018.08.002}, author = {Diane E. Bailey and Eduardo H. Diniz and Bonnie A. Nardi and Paul M. Leonardi and Dan Sholler} } @book {2018, title = {Data Science for Undergraduates}, year = {2018}, publisher = {National Academies Press}, organization = {National Academies Press}, address = {Washington, D.C.}, isbn = {978-0-309-47559-4}, doi = {10.17226/25104}, url = {https://www.nap.edu/catalog/25104} } @article {2018, title = {The future of work, business education, and the role of AACSB}, journal = {Journal of Legal Studies Education}, volume = {35}, year = {2018}, month = {Jan-12-2018}, pages = {165 - 170}, doi = {10.1111/jlse.2018.35.issue-110.1111/jlse.12073}, author = {Beck-Dudley, Caryn L.} } @article {2018, title = {G.M says its driverless car could be in fleets by next year}, year = {2018}, month = {01/2018}, keywords = {autonomous vehicles}, url = {https://www.nytimes.com/2018/01/12/business/gm-driverless-car.html}, author = {Neal E. Boudette} } @article {2018, title = {How does the digital transformation affect organizations? Key themes of change in work design and leadership}, journal = {management revu}, volume = {29}, year = {2018}, month = {Jan-01-2018}, pages = {114 - 138}, issn = {0935-9915}, doi = {10.5771/0935-9915-2018-2-114}, author = {Schwarzm{\"u}ller, Tanja and Brosi, Prisca and Duman, Denis and Welpe, Isabell M.} } @conference {2018, title = {Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences}, year = {2018}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2018.00010.24251/HICSS.2018.359}, url = {http://hdl.handle.net/10125/49887http://hdl.handle.net/10125/50247}, author = {Munoz, J. Pablo and Boger, Rebecca and Dexter, Scott and Low, Russanne and Li, Justin} } @book {2018, title = {Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and {\textquoteleft}Presence Only{\textquoteright} Data: An Overview of Applications and a Good Outlook}, year = {2018}, pages = {27 - 61}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-96976-3}, doi = {10.1007/978-3-319-96978-7_2}, author = {Huettmann, Falk and Craig, Erica H. and Herrick, Keiko A. and Baltensperger, Andrew P. and Grant Humphries and Lieske, David J. and Miller, Katharine and Mullet, Timothy C. and Oppel, Steffen and Resendiz, Cynthia and Rutzen, Imme and Schmid, Moritz S. and Suwal, Madan K. and Young, Brian D.}, editor = {Grant Humphries and Magness, Dawn R. and Huettmann, Falk} } @conference {2018, title = {Machines as Teammates: A Collaboration Research Agenda}, booktitle = {Hawaii International Conference on System Sciences}, year = {2018}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2018.055}, url = {http://hdl.handle.net/10125/49887}, attachments = {https://waim.network/sites/crowston.syr.edu/files/SeeberEtAl_2018_MachinesAsTeammates.pdf}, author = {Seeber, Isabella and Bittner, Eva and Briggs, Robert O. and de Vreede, Gert-Jan and de Vreede, Triparna and Druckenmiller, Doug and Maier, Ronald and Merz, Alexander B. and Oeste-Rei{\ss}, Sarah and Randrup, Nils and Gerhard Schwabe and S{\"o}llner, Matthias} } @article {2018, title = {Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)}, journal = {Systematic Reviews}, year = {2018}, month = {2018}, publisher = {Springer}, type = {Review}, abstract = {Systematic reviews (SR) are vital to health care, but have become complicated and time-consuming, due to the rapid expansion of evidence to be synthesised. Fortunately, many tasks of systematic reviews have the potential to be automated or may be assisted by automation. Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. Automation tools need to be able to work together, to exchange data and results. Therefore, we initiated the International Collaboration for the Automation of Systematic Reviews (ICASR), to successfully put all the parts of automation of systematic review production together. The first meeting was held in Vienna in October 2015. We established a set of principles to enable tools to be developed and integrated into toolkits. This paper sets out the principles devised at that meeting, which cover the need for improvement in efficiency of SR tasks, automation across the spectrum of SR tasks, continuous improvement, adherence to high quality standards, flexibility of use and combining components, the need for a collaboration and varied skills, the desire for open source, shared code and evaluation, and a requirement for replicability through rigorous and open evaluation. Automation has a great potential to improve the speed of systematic reviews. Considerable work is already being done on many of the steps involved in a review. The {\textquoteright}Vienna Principles{\textquoteright} set out in this paper aim to guide a more coordinated effort which will allow the integration of work by separate teams and build on the experience, code and evaluations done by the many teams working across the globe.}, keywords = {automation, Collaboration, Systematic review}, doi = {10.1186/s13643-018-0740-7}, author = {Elaine Beller and Justin Clark and Guy Tsafnat and Clive Adams and Heinz Diehl and Hans Lund and Mourad Ouzzani and Kristina Thayer and James Thomas and Tari Turner and Jun Xia and Karen Robinson and Paul Glasziou} } @article {2018, title = {Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)}, journal = {Systematic Reviews}, volume = {7}, year = {2018}, month = {Jan-12-2018}, keywords = {science}, doi = {10.1186/s13643-018-0740-7}, author = {Elaine Beller and Justin Clark and Guy Tsafnat and Clive Adams and Heinz Diehl and Hans Lund and Mourad Ouzzani and Kristina Thayer and James Thomas and Tari Turner and Jun Xia and Karen Robinson and Paul Glasziou} } @article {2018, title = {The productivity j-curve: How intangibles complement general purpose technologies}, year = {2018}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, doi = {10.3386/w25148}, author = {Brynjolfsson, Erik and Rock, Daniel and Syverson, Chad} } @article {2018, title = {Robot companions: A legal and ethical analysis}, journal = {The Information Society}, volume = {34}, year = {2018}, month = {Mar-05-2020}, pages = {130 - 140}, issn = {0197-2243}, doi = {10.1080/01972243.2018.1444249}, author = {Bertolini, Andrea and Aiello, Giuseppe} } @article {2018, title = {Robotic process automation}, journal = {Business \& Information Systems Engineering}, volume = {60}, year = {2018}, month = {Jan-08-2018}, pages = {269 - 272}, issn = {2363-7005}, doi = {10.1007/s12599-018-0542-4}, author = {van der Aalst, Wil M. P. and Bichler, Martin and Heinzl, Armin} } @book {2018, title = {The role of technological progress and structural change in the labour market}, year = {2018}, pages = {15 - 41}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-90547-1}, issn = {2511-2023}, doi = {10.1007/978-3-319-90548-8_2}, author = {Bosio, Giulio and Cristini, Annalisa}, editor = {Bosio, Giulio and Minola, Tommaso and Origo, Federica and Tomelleri, Stefano} } @article {2018, title = {Should we fear the robot revolution?}, journal = {Journal of Monetary Economics}, volume = {97}, year = {2018}, month = {Jan-08-2018}, pages = {117 - 148}, issn = {03043932}, doi = {10.1016/j.jmoneco.2018.05.014}, author = {Berg, Andrew and Buffie, Edward F. and Zanna, Luis-Felipe} } @article {2018, title = {Skill shift automation and the future of the workforce}, year = {2018}, month = {05/2018}, url = {https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce}, author = {Jaccques Bughin and Eric Hazan and Susan Lund and Peter Dahlstrom and Anna Wiesinger and Amresh Subramaniam} } @book {2018, title = {The social consequences of the digital revolution}, volume = {6}, year = {2018}, publisher = {Edizioni Ca{\textquoteright} Foscari}, organization = {Edizioni Ca{\textquoteright} Foscari}, address = {Venice}, isbn = {978-88-6969-274-1}, issn = {2610-9085}, doi = {10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008}, url = {http://edizionicafoscari.unive.it/collane/societa-e-trasformazioni-sociali/http://edizionicafoscari.unive.it/libri/978-88-6969-274-1/http://edizionicafoscari.unive.it/libri/978-88-6969-274-1/the-social-consequences-of-the-digital-revolution/}, author = {Basso, Pietro and Chiaretti, Giuliana and Krzywdzinski, Martin and Gerber, Christine and Evers, Maren} } @article {2018, title = {Social robots as cultural objects: The sixth dimension of dynamicity?}, journal = {The Information Society}, volume = {34}, year = {2018}, month = {Mar-05-2020}, pages = {141 - 152}, issn = {0197-2243}, doi = {10.1080/01972243.2018.1444253}, author = {Fortunati, Leopoldina and Sarrica, Mauro and Ferrin, Giovanni and Brondi, Sonia and Honsell, Furio} } @article {2018, title = {Socio-economic and legal impact of autonomous robotics and ai entities}, journal = {IEEE Technology and Society Magazine}, volume = {37}, year = {2018}, month = {Jan-03-2018}, pages = {70 - 79}, issn = {0278-0097}, doi = {10.1109/MTS.2018.2795120}, author = {Broman, Morgan M. and Finckenberg-Broman, Pamela} } @article {2018, title = {System architecture of a driverless electric car in the grand cooperative driving challenge}, journal = {IEEE Intelligent Transportation Systems Magazine}, volume = {10}, year = {2018}, month = {Jan-21-2018}, pages = {47 - 59}, issn = {1939-1390}, doi = {10.1109/MITS.2017.2776135}, author = {Xu, Philippe and Dherbomez, Gerald and Hery, Elwan and Abidli, Abderrahmen and Bonnifait, Philippe} } @article {2018, title = {Techno-unemployment: A framework for assessing the effects of information and communication technologies on work}, journal = {Telematics and Informatics}, volume = {35}, year = {2018}, month = {Jan-10-2018}, pages = {1863 - 1876}, issn = {07365853}, doi = {10.1016/j.tele.2018.05.013}, author = {Garcia-Murillo, Martha and MacInnes, Ian and Bauer, Johannes M.} } @conference {2018, title = {Towards an understanding of how chatbots create value}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences}, year = {2018}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2018.255}, author = {Stoeckli, Emanuel and Uebernickel, Falk and Brenner, Walter} } @article {2018, title = {The value of work: Addressing the future of work through the lens of solidarity}, journal = {Bioethics}, volume = {32}, year = {2018}, month = {Jan-11-2018}, pages = {585 - 592}, doi = { 10.1111/bioe.12507}, author = {Prainsack, Barbara and Buyx, Alena}, editor = {Buyx, Alena and Prainsack, Barbara} } @article {2017, title = {6 areas of AI and machine learning to watch closely}, year = {2017}, url = {https://medium.com/@NathanBenaich/6-areas-of-artificial-intelligence-to-watch-closely-673d590aa8aa}, author = {Nathan Benaich} } @article {2017, title = {9 IT projects primed for machine learning}, year = {2017}, note = {

With AI quickly becoming strategic, look for projects that can give you some quick business wins andhelp you gain the skills to apply machine learning more broadly.

}, month = {10/2017}, url = {https://www.cio.com/article/3231650/9-it-projects-primed-for-machine-learning.html}, author = {Mary Branscombe} } @article {2017, title = {AI will create 800,000 jobs and $1.1 trillion revenue by 2021: Salesforce}, journal = {salesforce}, year = {2017}, month = {06/2017}, type = {AI}, url = {https://www.salesforce.com/company/news-press/press-releases/2017/06/170614/}, author = {Tas Bindi} } @article {2017, title = {The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms}, journal = {Information, Communication \& Society}, volume = {20}, year = {2017}, month = {Feb-01-2017}, pages = {30 - 44}, issn = {1369-118X}, doi = {10.1080/1369118X.2016.1154086}, author = {Bucher, Taina} } @article {2017, title = {Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics}, number = {24001}, year = {2017}, month = {11/2017}, keywords = {economics of automation}, url = {http://www.nber.org/papers/w24001}, author = {Erik Brynjolfsson and Daniel Rock and Chad Syverson} } @article {2017, title = {Artificial Intelligence Index}, year = {2017}, url = {https://aiindex.org/2017-report.pdf}, author = {Yoav Shoham and Raymond Perrault and Erik Brynjolfsson and Jack Clark} } @article {2017, title = {Artificial Intelligence: The next digital frontier}, year = {2017}, url = {https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced\%20Electronics/Our\%20Insights/How\%20artificial\%20intelligence\%20can\%20deliver\%20real\%20value\%20to\%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx}, author = {Jaccques Bughin and Eric Hazan and Sree Ramaswamy and Michael Chui and Tera Allas and Peter Dahlstrom and Nicolaus Henke and Monica Trench} } @article {2017, title = {The changing nature of work: Careers, identities, and work lives in the 21 century}, journal = {Academy of Management Discoveries}, volume = {3}, year = {2017}, month = {Jan-06-2017}, pages = {111 - 115}, doi = {10.5465/amd.2017.0034}, author = {Barley, Stephen R. and Bechky, Beth A. and Milliken, Frances J.} } @article {2017, title = {The cyberscientist}, journal = {Science}, volume = {357}, year = {2017}, month = {Jul-07-2017}, pages = {18 - 21}, issn = {0036-8075}, doi = {10.1126/science.357.6346.18}, author = {Bohannon, John} } @conference {2017, title = {Data tracking in search of workflows}, booktitle = {the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW {\textquoteright}17}, year = {2017}, pages = {2153 - 2165}, publisher = {ACM Press}, organization = {ACM Press}, address = {Portland, Oregon, USANew York, New York, USA}, isbn = {9781450343350}, doi = {10.1145/2998181.2998296}, author = {Holten M{\o}ller, Naja L. and Bj{\o}rn, Pernille and Villumsen, Jonas Christoffer and Hancock, Tine C. Hansen and Aritake, Toshimitsu and Tani, Shigeyuki} } @article {2017, title = {A deep learning approach for quantifying tumor extent}, journal = {Scientific Reports}, volume = {7}, year = {2017}, month = {Jan-06-2017}, doi = {10.1038/srep46450}, author = {Cruz-Roa, Angel and Gilmore, Hannah and Basavanhally, Ajay and Feldman, Michael and Ganesan, Shridar and Shih, Natalie N.C. and Tomaszewski, John and Gonz{\'a}lez, Fabio A. and Madabhushi, Anant} } @article {RN30632, title = {Dermatologist-level classification of skin cancer with deep neural networks}, journal = {Nature}, volume = {542}, number = {7639}, year = {2017}, pages = {115{\textendash}118}, type = {Journal Article}, issn = {0028-0836}, author = {Esteva, Andre and Kuprel, Brett and Novoa, Roberto A and Ko, Justin and Swetter, Susan M and Blau, Helen M and Thrun, Sebastian} } @article {2017, title = {Do technological innovations affect unemployment? Some empirical evidence from European countries}, journal = {Economies}, volume = {5}, year = {2017}, month = {Jan-12-2017}, pages = {48}, doi = {10.3390/economies5040048}, author = {Matuzeviciute, Kristina and Butkus, Mindaugas and Karaliute, Akvile} } @conference {RN30645, title = {Examining crowd work and gig work through the historical lens of piecework}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, year = {2017}, pages = {4599-4616}, publisher = {ACM}, organization = {ACM}, type = {Conference Proceedings}, isbn = {1450346553}, author = {Alkhatib, Ali and Michael S. Bernstein and Levi, Margaret} } @article {2017, title = {A future that works: Automation, employment and productivity}, year = {2017}, url = {https://www.mckinsey.com/mgi/overview}, author = {James Manyika and Michael Chui and Mehdi Miremadi and Jaccques Bughin and Katy George and Paul Willmott and Martin Dewhurst} } @article {657, title = {Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science}, journal = {Classical and Quantum Gravity}, volume = {34}, year = {2017}, pages = {064003}, type = {Journal Article}, doi = {10.1088/1361-6382/aa5cea}, author = {Michael Zevin and Scott Coughlin and Sara Bahaadini and Emre Besler and Neda Rohani and Sarah Allen and Miriam Cabero and Kevin Crowston and Aggelos Katsaggelos and Shane Larson and Tae Kyoung Lee and Chris Lintott and Tyson Littenberg and Andrew Lundgren and Carsten Oesterlund and Joshua Smith and Laura Trouille and Vicky Kalogera} } @article {2017, title = {How big data is empowering AI and machine learning at scale}, year = {2017}, month = {05/2017}, keywords = {data and analytics}, url = {https://sloanreview.mit.edu/article/how-big-data-is-empowering-ai-and-machine-learning-at-scale/}, author = {Randy Bean} } @article {2017, title = {How can architects adapt to the coming age of AI?}, year = {2017}, url = {https://archpaper.com/2017/11/architects-adapt-coming-ai/}, author = {Phil Bernstein} } @conference {RN30639, title = {Huddler: Convening stable and familiar crowd teams despite unpredictable availability}, booktitle = {Proceedings of the Conference on Computer supported Cooperative Work and Social Media}, year = {2017}, type = {Conference Proceedings}, author = {Salehi, Niloufar and McCabe, Andrew and Valentine, Melissa and Michael S. Bernstein} } @article {2017, title = {Imagining the thinking machine}, journal = {Convergence: The International Journal of Research into New Media Technologies}, year = {2017}, month = {Aug-06-2018}, pages = {135485651771516}, issn = {1354-8565}, doi = {10.1177/1354856517715164}, author = {Natale, Simone and Ballatore, Andrea} } @article {2017, title = {Impact of robotics, RPA and AI on the insurance industry }, journal = {The Journal of Financial Perspectives: Insurance}, year = {2017}, url = {https://www.ey.com/Publication/vwLUAssets/ey-impact-of-robotics-rpa-and-ai-on-the-insurance-industry-challenges-and-opportunities/\%24File/ey-impact-of-robotics-rpa-and-ai-on-the-insurance-industry-challenges-and-opportunities.pdf}, author = {Chris Lamberton and Damiano Brigo and Dave Hoy} } @article {2017, title = {Jobs lost, jobs gained: Workforce transactions in a time of automation}, year = {2017}, keywords = {consulting reports}, url = {https://www.mckinsey.com/~/media/mckinsey/featured\%20insights/future\%20of\%20organizations/what\%20the\%20future\%20of\%20work\%20will\%20mean\%20for\%20jobs\%20skills\%20and\%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx}, author = {James Manyika and Susan Lund and Michael Chui and Jonathan Woetzel and Ryan Ko and Saurabh Sanghvi and Parul Batra and Jacques Bughin} } @article {2017, title = {Machine Learning to Detect Anomalies from Application Logs}, year = {2017}, url = {https://www.druva.com/blog/machine-learning-detect-anomalies-application-logs/}, author = {Adwait Bhave} } @conference {Malone:2017:PPB:2998181.2998343, title = {Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving}, booktitle = {Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing}, year = {2017}, pages = {1661{\textendash}1674}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, keywords = {climate change, collective intelligence, contest webs, contests, Coordination, incentives, knowledge reuse}, isbn = {978-1-4503-4335-0}, doi = {10.1145/2998181.2998343}, url = {http://doi.acm.org/10.1145/2998181.2998343}, author = {Malone, Thomas W. and Jeffrey V Nickerson and Laubacher, Robert J. and Fisher, Laur Hesse and de Boer, Patrick and Han, Yue and Towne, W. Ben} } @article {2017, title = {Rapid Evidence Review: Impact of artificial intelligence, robotics and automation technologies on work}, year = {2017}, institution = {Chartered Institute of Personnel and Development}, address = {London, United Kingdom}, abstract = {The CIPD and Loughborough University{\textquoteright}s report gathers the evidence and insights on emerging technology at work and explores the ethical implications of how we{\textquoteright}re currently adopting new technology. This report creates a foundation for delving deeper into how we can ensure that people remain at the heart of work. The report, Impact of artificial intelligence, robotics and automation technologies on work, focuses on the academic literature published since 2011 and evaluates the state of contemporary knowledge. It focuses on four key questions: What should the technological and occupations focus of the review be? What are the work-related outcomes and mediators from the utilisation of artificial intelligence (AI), robotics and automation technologies (considering both the impact for workers and organisations)? What are the impacts of AI, robotics and automation technologies on professions and society more generally? What are the ethical issues related to the contemporary utilisation of AI, robotics and automation technologies?}, url = {https://www.cipd.co.uk/knowledge/work/technology/artificial-intelligence-workplace-impact}, author = {Donald Hislop and Crispin Coombs and Stanimira Taneva and Sarah Barnard} } @book {2017, title = {Refining the concept of scientific inference when working with big data}, year = {2017}, publisher = {National Academies Press}, organization = {National Academies Press}, address = {Washington, D.C.}, isbn = {978-0-309-45444-5}, doi = {10.17226/24654}, editor = {Wender, Ben A.} } @article {2017, title = {Situated redesign in creative occupations {\textendash} An ethnography of architects}, journal = {Academy of Management Discoveries}, volume = {3}, year = {2017}, month = {Jan-12-2017}, pages = {404 - 424}, doi = {10.5465/amd.2016.0039}, author = {Rahman, Hatim A. and Barley, Stephen R.} } @article {2017, title = {Situational awareness, workload, and workflow preferences}, journal = {The International Journal of Robotics Research}, volume = {36}, year = {2017}, month = {Sep-06-2017}, pages = {597 - 617}, issn = {0278-3649}, doi = {10.1177/0278364916688255}, author = {Gombolay, Matthew and Bair, Anna and Huang, Cindy and Shah, Julie} } @article {2017, title = {The social power of algorithms}, journal = {Information, Communication \& Society}, volume = {20}, year = {2017}, month = {Feb-01-2017}, pages = {1 - 13}, issn = {1369-118X}, doi = {10.1080/1369118X.2016.1216147}, author = {Beer, David} } @article {2017, title = {Understanding human-machine networks}, journal = {ACM Computing Surveys}, volume = {50}, year = {2017}, month = {Jan-04-2018}, pages = {1 - 35}, issn = {03600300}, doi = {10.1145/3039868}, author = {Tsvetkova, Milena and Yasseri, Taha and Meyer, Eric T. and Pickering, J. Brian and Engen, Vegard and Walland, Paul and L{\"u}ders, Marika and F{\o}lstad, Asbj{\o}rn and Bravos, George} } @article {2017, title = {The zombie robot argument lurches on}, year = {2017}, month = {m5/2017}, publisher = {Economic policy institute}, url = {http://epi.org/126750}, author = {Lawrence Mishel and Josh Bivens} } @article {2016, title = {Citizen science on a smartphone: Participants{\textquoteright} motivations and learning}, journal = {Public Understanding of Science}, volume = {25}, year = {2016}, month = {Mar-01-2017}, pages = {45 - 60}, issn = {0963-6625}, doi = {10.1177/0963662515602406}, author = {Land-Zandstra, Anne M. and Devilee, Jeroen L. A. and Snik, Frans and Buurmeijer, Franka and van den Broek, Jos M.} } @article {2016, title = {Did the Computer Revolution shift the fortunes of U.S. cities? Technology shocks and the geography of new jobs}, journal = {Regional Science and Urban Economics}, volume = {57}, year = {2016}, month = {Jan-03-2016}, pages = {38 - 45}, issn = {01660462}, doi = {10.1016/j.regsciurbeco.2015.11.003}, author = {Berger, Thor and Frey, Carl Benedikt} } @article {2016, title = {Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning}, journal = {Computers in Human Behavior}, volume = {65}, year = {2016}, month = {Jan-12-2016}, pages = {666 - 671}, issn = {07475632}, doi = {10.1016/j.chb.2016.07.003}, author = {Edwards, Chad and Beattie, Austin J. and Edwards, Autumn and Spence, Patric R.} } @book {2016, title = {Handbook of Science and Technology ConvergenceConvergence-Divergence Process}, year = {2016}, pages = {79 - 93}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-07051-3}, doi = {10.1007/978-3-319-07052-0_11}, author = {Roco, Mihail C.}, editor = {Bainbridge, William Sims and Roco, Mihail C.} } @article {2016, title = {Hire a UR robot - pay for it by the hour}, year = {2016}, month = {07/2016}, keywords = {bots}, url = {https://blog.universal-robots.com/hire-a-ur-robot-pay-for-it-by-the-hour}, author = {Mahew Bush} } @article {2016, title = {How the machine {\textquoteleft}thinks{\textquoteright}: Understanding opacity in machine learning algorithms}, journal = {Big Data \& Society}, volume = {3}, year = {2016}, month = {May-01-2016}, pages = {205395171562251}, issn = {2053-9517}, doi = {10.1177/2053951715622512}, author = {Burrell, Jenna} } @article {2016, title = {Models and people: An alternative view of the emergent properties of computational models}, journal = {Complexity}, volume = {21}, year = {2016}, month = {Jan-07-2016}, pages = {202 - 213}, doi = {10.1002/cplx.21680}, author = {Boschetti, Fabio} } @article {2016, title = {Structural transformation in the OECD}, volume = {193}, year = {2016}, doi = {10.1787/5jlr068802f7-en}, author = {Thor Berger and Carl Benedikt Frey} } @article {2016, title = {A world where everyone has a robot: Why 2040 could blow your mind}, journal = {International weekly journal of science}, year = {2016}, url = {https://www.nature.com/news/a-world-where-everyone-has-a-robot-why-2040-could-blow-your-mind-1.19431}, author = {Declan Butler} } @article {RN30644, title = {Human-level control through deep reinforcement learning}, journal = {Nature}, volume = {518}, number = {7540}, year = {2015}, pages = {529-533}, type = {Journal Article}, issn = {0028-0836}, author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg} } @book {2015, title = {Mining programming activity to promote help}, year = {2015}, pages = {23 - 42}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-20498-7}, doi = {10.1007/978-3-319-20499-4_2}, author = {Carter, Jason and Dewan, Prasun}, editor = {Boulus-R{\o}dje, Nina and Ellingsen, Gunnar and Bratteteig, Tone and Aanestad, Margunn and Bj{\o}rn, Pernille} } @article {2015, title = {Toward a computational hermeneutics}, journal = {Big Data \& Society}, volume = {2}, year = {2015}, month = {Mar-12-2017}, pages = {205395171561380}, issn = {2053-9517}, doi = {10.1177/2053951715613809}, author = {Mohr, John W and Wagner-Pacifici, Robin and Breiger, Ronald L} } @article {RN30621, title = {Will humans go the way of horses}, journal = {Foreign Affairs}, volume = {94}, year = {2015}, pages = {8}, type = {Journal Article}, author = {Erik Brynjolfsson and McAfee, Andrew} } @article {2014, title = {Four scenarios exploring the future of youth employment}, year = {2014}, month = {12/2014}, url = {https://assets.rockefellerfoundation.org/app/uploads/20141201215005/FutureofYouthEmployment.pdf}, author = {Caroline Budhan and Abigail Carlton and Evan O{\textquoteright}Donnel} } @article {2014, title = {Toward a Framework for Levels of Robot Autonomy in Human-Robot Interaction}, journal = {Journal of Human-Robot Interaction}, volume = {3}, year = {2014}, month = {Jan-06-2014}, pages = {74}, doi = {10.5898/JHRI.3.2.Beer}, url = {http://dl.acm.org/citation.cfm?id=3109833http://dl.acm.org/ft_gateway.cfm?id=3109833\&ftid=1883786\&dwn=1}, author = {Beer, Jenay M and Fisk, Arthur D and Rogers, Wendy A} } @article {2013, title = {Beyond convergence of Nano-Bio-Info-Cognitive technologies}, year = {2013}, month = {07/2013}, url = {http://www.wtec.org/NBIC2/Docs/FinalReport/Pdf-secured/NBIC2-FinalReport-WEB.pdf}, author = {Mihail C. Roco and William S. Bainbridge and Bruce Tonn and George Whitesides} } @conference {kittur2013future, title = {The future of crowd work}, booktitle = {Proceedings of the 2013 conference on Computer supported cooperative work}, year = {2013}, pages = {1301{\textendash}1318}, publisher = {ACM}, organization = {ACM}, author = {Kittur, Aniket and Jeffrey V Nickerson and Michael S. Bernstein and Gerber, Elizabeth and Shaw, Aaron and Zimmerman, John and Lease, Matt and Horton, John} } @article {2013, title = {The great reversal in the demand for skill and cognitive tasks}, year = {2013}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, doi = {10.3386/w18901}, author = {Beaudry, Paul and Green, David and Sand, Benjamin} } @book {2013, title = {Integration and implementation sciences for researching complex real-world problems}, year = {2013}, note = {Includes bibliographical references}, isbn = {9781922144270}, url = {https://www.jstor.org/stable/j.ctt2jbkj5}, author = {Bammer and Gabriele} } @article {2013, title = {The new world of discovery, invention, and innovation: convergence of knowledge, technology, and society}, journal = {Journal of Nanoparticle Research}, volume = {15}, year = {2013}, month = {Jan-09-2013}, issn = {1388-0764}, doi = {10.1007/s11051-013-1946-1}, url = {http://link.springer.com/10.1007/s11051-013-1946-1http://link.springer.com/content/pdf/10.1007/s11051-013-1946-1http://link.springer.com/content/pdf/10.1007/s11051-013-1946-1.pdfhttp://link.springer.com/article/10.1007/s11051-013-1946-1/fulltext.html}, author = {Roco, Mihail C. and Bainbridge, William S.} } @article {2011, title = {Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature}, journal = {Journal of Informetrics}, volume = {5}, year = {2011}, month = {Jan-01-2011}, pages = {14 - 26}, issn = {17511577}, doi = {10.1016/j.joi.2010.06.004}, author = {Wagner, Caroline S. and Roessner, J. David and Bobb, Kamau and Klein, Julie Thompson and Boyack, Kevin W. and Keyton, Joann and Rafols, Ismael and B{\"o}rner, Katy} } @article {2009, title = {Deploying embodied AI into virtual worlds}, journal = {Knowledge-Based Systems}, volume = {22}, year = {2009}, month = {Jan-10-2009}, pages = {540 - 544}, issn = {09507051}, doi = {10.1016/j.knosys.2008.10.001}, author = {Burden, David J.H.} } @article {2009, title = {Under diagnosis and referral bias of autism in ethnic minorities}, journal = {Journal of Autism and Developmental Disorders}, volume = {39}, year = {2009}, month = {Jan-01-2009}, pages = {142 - 148}, issn = {0162-3257}, doi = {10.1007/s10803-008-0611-5}, author = {Begeer, Sander and Bouk, Saloua El and Boussaid, Wafaa and Terwogt, Mark Meerum and Koot, Hans M.} } @conference {2008, title = {Context-linked virtual assistants for distributed teams}, booktitle = {the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW {\textquoteright}08}, year = {2008}, pages = {361}, publisher = {ACM Press}, organization = {ACM Press}, address = {San Diego, CA, USANew York, New York, USA}, isbn = {9781605580074}, doi = {10.1145/1460563.1460623}, author = {Poon, Sarah S. and Thomas, Rollin C. and Aragon, Cecilia R. and Lee, Brian} } @book {2008, title = {Handbook of transdisciplinary research}, year = {2008}, pages = {427 - 432}, publisher = {Springer Netherlands}, organization = {Springer Netherlands}, address = {Dordrecht}, isbn = {978-1-4020-6698-6}, doi = {10.1007/978-1-4020-6699-3_28}, editor = {Hadorn, Gertrude Hirsch and Hoffmann-Riem, Holger and Biber-Klemm, Susette and Grossenbacher-Mansuy, Walter and Joye, Dominique and Pohl, Christian} } @article {2007, title = {Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust}, journal = {Theoretical Issues in Ergonomics Science}, volume = {8}, year = {2007}, month = {Jan-07-2007}, pages = {321 - 348}, issn = {1463-922X}, doi = {10.1080/14639220500535301}, author = {Bailey, N. R. and Scerbo, M. W.} } @conference {2005, title = {A dialogue agent with adaptive and proactive capabilities}, booktitle = {IEEE/WIC/ACM International Conference on Intelligent Agent TechnologyIEEE/WIC/ACM International Conference on Intelligent Agent Technology}, year = {2005}, month = {09/2005}, pages = {293 - 296}, publisher = {IEEE}, organization = {IEEE}, address = {Compiegne Codex, France}, doi = {10.1109/IAT.2005.8}, author = {Baudoin, F. and Bretier, P. and Corruble, V.} } @inbook {2003, title = {Work design}, booktitle = {Handbook of Psychology: Industrial and Organizational Psychology}, volume = {12}, year = {2003}, pages = {423{\textendash}452}, publisher = {Wiley}, organization = {Wiley}, address = {Hoboken, NY}, author = {Frederick P. Morgeson and Campion, Michael A.}, editor = {W. 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Barley and Kunda, Gideon} } @article {1999, title = {Information technology, workplace organization and the demand for skilled labor}, year = {1999}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, doi = {10.3386/w7136}, author = {Bresnahan, Timothy and Brynjolfsson, Erik and Hitt, Lorin} } @inbook {RN30398, title = {Automation surprises}, booktitle = {Handbook of Human Factors and Ergonomics}, volume = {2}, year = {1997}, pages = {1926{\textendash}1943}, type = {Book Section}, author = {Sarter, Nadine B. and Woods, David D. and Billings, Charles E.} } @article {RN30630, title = {The alignment of technology and structure through roles and networks}, journal = {Administrative science quarterly}, year = {1990}, pages = {61-103}, type = {Journal Article}, issn = {0001-8392}, author = {Stephen R. Barley} } @article {1989, title = {Expert systems for configuration at digital: xcon and beyond}, volume = {32}, year = {1989}, chapter = {298-318}, doi = {10.1145/62065.62067}, author = {Virginia E. Barker and Dennis E. O{\textquoteright}Connor} } @article {1951, title = {Some social and psychological consequences of the Longwall Method of coal-getting: An examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system}, journal = {Human relationsHuman Relations}, volume = {4}, number = {1}, year = {1951}, pages = {3-38}, isbn = {0018-7267}, author = {Trist, Eric Lansdowne and Bamforth, Ken W} }