@proceedings {wang2024reelframer, title = {ReelFramer: Human-AI Co-Creation for News-to-Video Translation}, year = {2024}, address = {Honolulu, Hawai{\textquoteright}i}, abstract = {

Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels -- short videos conveying news -- but struggle to translate traditional journalistic formats into short, entertaining videos. To translate news into social media reels, we support journalists in reframing the narrative. In literature, narrative framing is a high-level structure that shapes the overall presentation of a story. We identified three narrative framings for reels that adapt social media norms but preserve news value, each with a different balance of information and entertainment. We introduce ReelFramer, a human-AI co-creative system that helps journalists translate print articles into scripts and storyboards. ReelFramer supports exploring multiple narrative framings to find one appropriate to the story. AI suggests foundational narrative details, including characters, plot, setting, and key information. ReelFramer also supports visual framing; AI suggests character and visual detail designs before generating a full storyboard. Our studies show that narrative framing introduces the necessary diversity to translate various articles into reels, and establishing foundational details helps generate scripts that are more relevant and coherent. We also discuss the benefits of using narrative framing and foundational details in content retargeting.

}, url = {https://arxiv.org/abs/2304.09653}, author = {Sitong Wang and Samia Menon and Tao Long and Keren Henderson and Dingzeyu Li and Kevin Crowston and Mark Hansen and Jeffrey V. Nickerson and Lydia B. Chilton} } @article {9998, title = {Artificial intelligence in information systems: State of the art and research roadmap}, journal = {Communications of the Association for Information Systems (CAIS)}, volume = {50}, year = {2022}, abstract = {

Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

}, doi = {10.17705/1CAIS.05017}, attachments = {https://waim.network/sites/crowston.syr.edu/files/Artificial\%20Intelligence\%20in\%20Information\%20Systems\%20State\%20of\%20the\%20Art.pdf}, author = {P{\"a}r J. {\r A}gerfalk and Kieran Conboy and Kevin Crowston and Sirkka L. Jarvenpaa and Jenny Eriksson Lundstr{\"o}m and Patrick Mikalef and Sudha Ram} } @article {Kuziemski2020, title = {AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings}, journal = {Telecommunications Policy}, volume = {44}, number = {6}, year = {2020}, pages = {101976}, publisher = {Elsevier Ltd}, abstract = {The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector{\textquoteright}s predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing by algorithms. Whether such dual role is even possible, has been a matter of debate, the challenge stemming from algorithms{\textquoteright} intrinsic properties, that make them distinct from other digital solutions, long embraced by the governments, create externalities that rule-based programming lacks. As the pressures to deploy automated decision making systems in the public sector become prevalent, this paper aims to examine how the use of AI in the public sector in relation to existing data governance regimes and national regulatory practices can be intensifying existing power asymmetries. To this end, investigating the legal and policy instruments associated with the use of AI for strenghtening the immigration process control system in Canada; {\textquotedblleft}optimising{\textquotedblright} the employment services{\textquotedblright} in Poland, and personalising the digital service experience in Finland, the paper advocates for the need of a common framework to evaluate the potential impact of the use of AI in the public sector. In this regard, it discusses the specific effects of automated decision support systems on public services and the growing expectations for governments to play a more prevalent role in the digital society and to ensure that the potential of technology is harnessed, while negative effects are controlled and possibly avoided. This is of particular importance in light of the current COVID-19 emergency crisis where AI and the underpinning regulatory framework of data ecosystems, have become crucial policy issues as more and more innovations are based on large scale data collections from digital devices, and the real-time accessibility of information and services, contact and relationships between institutions and citizens could strengthen {\textendash} or undermine - trust in governance systems and democracy.}, keywords = {Algorithmic accountability, artificial intelligence, Automated decision making, Public sector innovation}, issn = {03085961}, doi = {10.1016/j.telpol.2020.101976}, url = {https://doi.org/10.1016/j.telpol.2020.101976}, author = {Kuziemski, Maciej and Misuraca, Gianluca} } @conference {Martnez-Plumed2020, title = {Does AI qualify for the job? A bidirectional model mapping labour and AI intensities}, booktitle = {AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society}, year = {2020}, pages = {94{\textendash}100}, abstract = {In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated scenarios. We perform a mapping between labour and AI using a set of cognitive abilities as an intermediate layer. This setting favours a two-way interpretation to analyse (1) what impact current or simulated AI research activity has or would have on labour-related tasks and occupations, and (2) what areas of AI research activity would be responsible for a desired or undesired effect on specific labour tasks and occupations. Concretely, in our analysis we map 59 generic labour-related tasks from several worker surveys and databases to 14 cognitive abilities from the cognitive science literature, and these to a comprehensive list of 328 AI benchmarks used to evaluate progress in AI techniques. We provide this model and its implementation as a tool for simulations. We also show the effectiveness of our setting with some illustrative examples.}, keywords = {AI benchmarks, AI impact, AI intensity, Labour market, Simulation, tasks}, isbn = {9781450371100}, doi = {10.1145/3375627.3375831}, author = {Mart{\textquoteright}nez-Plumed, Fernando and Tolan, Song{\textquoteright}l and Pesole, Annarosa and Hern{\textquoteright}ndez-Orallo, Jos{\'e} and Fern{\textquoteright}ndez-Mac{\textquoteright}as, Enrique and G{\textquoteright}mez, Emilia} } @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} } @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 {Capatina2020, title = {Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users{\textquoteright} expectations}, journal = {Technological Forecasting and Social Change}, volume = {151}, number = {June 2019}, year = {2020}, pages = {119794}, publisher = {Elsevier}, abstract = {The increasing use of Artificial Intelligence (AI) in Social Media Marketing (SMM) triggered the need for this research to identify and further analyze such expectations of potential users of an AI-based software for Social Media Marketing; a software that will be developed in the next two years, based on its future capabilities. In this research, we seek to discover how the potential users of this AI-based software (owners and employees from digital agencies based in France, Italy and Romania, as well as freelancers from these countries, with expertise in SMM) perceive the capabilities that we offer, as a way to differentiate our technological solution from other available in the market. We propose a causal model to find out which expected capabilities of the future AI-based software can explain potential users{\textquoteright} intention to test and use this innovative technological solution for SMM, based on integer valued regression models. With this purpose, R software is used to analyze the data provided by the respondents. We identify different causal configurations of upcoming capabilities of the AI-based software, classified in three categories (audience, image and sentiment analysis), and will trigger potential users{\textquoteright} intention to test and use the software, based on an fsQCA approach.}, keywords = {artificial intelligence, Audience analysis, Image analysis, machine learning, Sentiment analysis, Social media marketing}, issn = {00401625}, doi = {10.1016/j.techfore.2019.119794}, url = {https://doi.org/10.1016/j.techfore.2019.119794}, author = {Capatina, Alexandru and Kachour, Maher and Lichy, Jessica and Micu, Adrian and Micu, Angela Eliza and Codignola, Federica} } @article {McLeay2020, title = {Replaced by a Robot: Service Implications in the Age of the Machine}, journal = {Journal of Service Research}, year = {2020}, abstract = {Service organizations, emboldened by the imperative to innovate, are increasingly introducing robots to frontline service encounters. However, as they augment or substitute human employees with robots, they may struggle to convince a distrusting public of their brand{\textquoteright}s ethical credentials. Consequently, this article develops and tests a holistic framework to ascertain a deeper understanding of customer perceptions of frontline service robots (FLSRs) than has previously been attempted. Our experimental studies investigate the effects of the (1) role (augmentation or substitution of human employees or no involvement) and (2) type (humanoid FLSR vs. self-service machine) of FLSRs under the following service contexts: (a) value creation model (asset-builder, service provider) and (b) service type (experience, credence). By empirically establishing our framework, we highlight how customers{\textquoteright} personal characteristics (openness-to-change and preference for ethical/responsible service provider) and cognitive evaluations (perceived innovativeness, perceived ethical/societal reputation, and perceived innovativeness-responsibility fit) influence the impact that FLSRs have on service experience and brand usage intent. Our findings operationalize and empirically support seminal frameworks from extant literature, as well as elaborate on the positive and negative implications of using robots to complement or replace service employees. Further, we consider managerial and policy implications for service in the age of machines.}, keywords = {brand usage intent, ethical/societal reputation, service experience, service innovativeness, service robots}, issn = {15527379}, doi = {10.1177/1094670520933354}, author = {McLeay, Fraser and Osburg, Victoria Sophie and Yoganathan, Vignesh and Patterson, Anthony} } @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{\textquoteright}s path to the present and the painful transitions along the way}, journal = {Digital Policy, Regulation and Governance}, volume = {21}, year = {2019}, month = {Jan-05-2020}, pages = {305 - 321}, issn = {2398-50382398-5038}, doi = {10.1108/DPRG-09-2018-0051}, author = {Garcia-Murillo, Martha and MacInnes, Ian} } @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 = {Amazon{\textquoteright}s AI expansion}, journal = {AI Daily}, year = {2019}, month = {06/2019}, type = {AI}, url = {https://www.aidaily.co.uk/articles/amazons-ai-expansion}, author = {Parth Mahendra} } @article {2019, title = {Applying for your next job may be an automated nightmare}, journal = {Gizmodo}, year = {2019}, month = {04/2019}, type = {Automation}, keywords = {automation, job}, url = {https://gizmodo.com/applying-for-your-next-job-may-be-an-automated-nightmar-1834275825}, author = {Brian Merchant} } @article {2019, title = {Artificial Intelligence and the Future of the Drug Safety Professional}, journal = {Drug Safety}, volume = {42}, year = {2019}, month = {Jan-04-2019}, pages = {491 - 497}, issn = {0114-5916}, doi = {10.1007/s40264-018-0746-z}, author = {Danysz, Karolina and Cicirello, Salvatore and Mingle, Edward and Assuncao, Bruno and Tetarenko, Niki and Mockute, Ruta and Abatemarco, Danielle and Widdowson, Mark and Desai, Sameen} } @book {2019, title = {Benefits and risks of artificial intelligence tools in workplaces}, volume = {11581}, year = {2019}, pages = {292 - 315}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-22215-4}, issn = {0302-9743}, doi = {10.1007/978-3-030-22216-1_22}, author = {Moore, Phoebe V.}, editor = {Duffy, Vincent G.} } @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} } @conference {2019, title = {Does automation influence career decisions among South African students?}, booktitle = {the South African Institute of Computer Scientists and Information Technologists 2019Proceedings of the South African Institute of Computer Scientists and Information Technologists 2019 on ZZZ - SAICSIT {\textquoteright}19}, year = {2019}, pages = {1 - 10}, publisher = {ACM Press}, organization = {ACM Press}, address = {Skukuza, South AfricaNew York, New York, USA}, isbn = {9781450372657}, doi = {10.1145/335110810.1145/3351108.3351137}, author = {Mbilini, Sakhumzi N. and le Roux, Daniel B. and Parry, Douglas A.} } @book {2019, title = {Educating those most impacted by artificial intelligence}, volume = {11626}, year = {2019}, pages = {344 - 349}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-23206-1}, issn = {0302-9743}, doi = {10.1007/978-3-030-23207-8_63}, author = {Gemmell, Laura and Wenham, Lucy and Hauert, Sabine}, editor = {Isotani, Seiji and Mill{\'a}n, Eva and Ogan, Amy and Hastings, Peter and McLaren, Bruce and Luckin, Rose} } @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} } @article {2019, title = {Exploring and developing policies to future proof Washington{\textquoteright}s workers and businesses}, year = {2019}, institution = {Workforce Training and Education Coordinating Board}, url = {http://www.wtb.wa.gov/Documents/FutureofWork2018Report.pdf}, author = {Joe Wilcox and Lew McMurran} } @book {2019, title = {The fourth industrial revolution: Trends and impacts on the world of work}, year = {2019}, pages = {177 - 194}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-94531-6}, doi = {10.1007/978-3-319-94532-3_115}, author = {Kim, Sang Yun}, editor = {McGrath, Simon and Mulder, Martin and Papier, Joy and Suart, Rebecca} } @article {2019, title = {The future digital work force: Robotic process automation (RPA)}, journal = {Journal of Information Systems and Technology Management}, volume = {16}, year = {2019}, month = {Apr-01-2019}, doi = {10.4301/S1807-1775201916001}, author = {Madakam, Somayya and M. Holmukhe, Rajesh and Kumar Jaiswal, Durgesh} } @article {2019, title = {The future of health care: Protocol for measuring the potential of task automation grounded in the national health service primary care system}, journal = {JMIR Research Protocols}, volume = {8}, year = {2019}, month = {Jan-01-2019}, pages = {e11232}, doi = {10.2196/11232}, author = {Willis, Matthew and Duckworth, Paul and Coulter, Angela and Meyer, Eric T and Osborne, Michael} } @article {2019, title = {The future of the work in America}, year = {2019}, month = {07/2019}, keywords = {consulting reports}, url = {https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-in-america-people-and-places-today-and-tomorrow}, author = {Susan Lund and James Manyika and Liz Hilton Segal and Andre Dua and Bryan Hancock and Scott Rutherford and Brent Macon} } @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} } @article {2019, title = {Future of work initiatives promise lots of noise and lots of activity, but to what end?}, year = {2019}, url = {https://sloanreview.mit.edu/article/reframing-the-future-of-work/}, author = {Jeff Schwartz and John Hagel III and Maggie Wooll and Kelly Monahan} } @conference {2019, title = {How Smart is your Manufacturing? Build Smarter with AI}, booktitle = {2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)}, year = {2019}, pages = {55 - 60}, publisher = {IEEE}, organization = {IEEE}, address = {Milwaukee, WI, USA}, isbn = {978-1-7281-2607-4}, doi = {10.1109/COMPSAC.2019.10183}, author = {Mcmahon, Mike and Mumper, Dale and Ihaza, Mitsuko and Farrar, Dominic} } @conference {2019, title = {IBM Talent Management Solutions The role of AI in mitigating bias to enhance diversity and inclusion}, year = {2019}, note = {In this paper, we examine the nature of diversity and inclusion (D\&I), explore biases as an inhibitor to more diverse and inclusive workplaces, and provide insights into the role that AI can play in mitigating biases. We then offer practical recommendations to organizations who are looking to adopt AI in their HR practices.}, month = {03/2019}, url = {https://www.ibm.com/downloads/cas/2DZELQ4O}, author = {Haiyan Zhang and Sheri Feinzi and Louise Raisbec and Iain McCombe and Nigel Guenol and Jenny Montalt and Kimberley Messe} } @conference {2019, title = {Impacts of Artificial Intelligence on Public Administration: A Systematic Literature Review}, booktitle = {2019 14th Iberian Conference on Information Systems and Technologies (CISTI)}, year = {2019}, isbn = {978-989-98434-9-3}, url = {https://ieeexplore.ieee.org/document/8760778}, author = {Jo{\~a}o Reis and Paula Esp{\'\i}rito Santo and Lisbon, Portugal and Nuno Mel{\~a}o} } @article {2019, title = {Machine learning concepts, concerns and opportunities for a pediatric radiologist}, journal = {Pediatric Radiology}, volume = {49}, year = {2019}, month = {Jan-04-2019}, pages = {509 - 516}, issn = {0301-0449}, doi = {10.1007/s00247-018-4277-7}, author = {Moore, Michael M. and Slonimsky, Einat and Long, Aaron D. and Sze, Raymond W. and Iyer, Ramesh S.} } @article {2019, title = {A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic}, journal = {JCO Clinical Cancer Informatics}, year = {2019}, month = {Jan-04-2019}, pages = {1 - 17}, issn = {2473-4276}, doi = {10.1200/CCI.18.00056}, author = {Salvucci, Manuela and Rahman, Arman and Resler, Alexa J. and Udupi, Girish M. and McNamara, Deborah A. and Kay, Elaine W. and Laurent-Puig, Pierre and Longley, Daniel B. and Johnston, Patrick G. and Lawler, Mark and Wilson, Richard and Salto-Tellez, Manuel and Van Schaeybroeck, Sandra and Rafferty, Mairin and Gallagher, William M. and Rehm, Markus and Prehn, Jochen H.M.} } @article {2019, title = {Pooling knowledge through artificial swarm intelligence to improve business decision making}, journal = {California Management Review}, volume = {61}, year = {2019}, month = {Sep-08-2019}, pages = {84 - 109}, issn = {0008-1256}, doi = {10.1177/0008125619862256}, author = {Metcalf, Lynn and Askay, David A. and Rosenberg, Louis B.} } @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.} } @article {2019, title = {Questions for artificial intelligence in health care}, journal = {JAMA}, volume = {321}, year = {2019}, month = {Jan-01-2019}, pages = {31}, issn = {0098-7484}, doi = {10.1001/jama.2018.18932}, author = {Maddox, Thomas M. and Rumsfeld, John S. and Payne, Philip R. O.} } @book {2019, title = {Steps toward a scaffolding design framework}, year = {2019}, pages = {149 - 161}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-12333-8}, issn = {1571-5035}, doi = {10.1007/978-3-030-12334-5_5}, author = {Correia, Ant{\'o}nio and Jameel, Shoaib and Paredes, Hugo and Fonseca, Benjamim and Schneider, Daniel}, editor = {Khan, Vassillis-Javed and Papangelis, Konstantinos and Lykourentzou, Ioanna and Markopoulos, Panos} } @article {2019, title = {Ten ways the precautionary principle undermines progress in artificial intelligence}, year = {2019}, month = {02/2019}, keywords = {consulting reports}, url = {https://itif.org/publications/2019/02/04/ten-ways-precautionary-principle-undermines-progress-artificial-intelligence}, author = {Daniel Castro and Michael McLaughlin} } @article {2019, title = {Is this time different? A note on automation and labour in the fourth industrial revolution}, journal = {Journal of Industrial and Business Economics}, volume = {46}, year = {2019}, month = {Jan-09-2019}, pages = {323 - 331}, keywords = {economics of automation}, issn = {0391-2078}, doi = {10.1007/s40812-019-00123-z}, author = {Marengo, Luigi} } @book {2019, title = {Toward a conceptual framework for understanding AI action and legal reaction}, volume = {11489}, year = {2019}, pages = {453 - 459}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-18304-2}, issn = {0302-9743}, doi = {10.1007/978-3-030-18305-9_44}, author = {Dahya, Raheena and Morris, Alexis}, editor = {Meurs, Marie-Jean and Rudzicz, Frank} } @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 = {Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events}, journal = {Water}, volume = {11}, year = {2019}, month = {Jan-05-2019}, pages = {973}, doi = {10.3390/w11050973}, author = {Saravi, Sara and Kalawsky, Roy and Joannou, Demetrios and Rivas Casado, Monica and Fu, Guangtao and Meng, Fanlin} } @article {2018, title = {16 examples of Artificial Intelligence in your everyday life}, year = {2018}, month = {10/2018}, url = {https://medium.com/@the_manifest/16-examples-of-artificial-intelligence-ai-in-your-everyday-life-655b2e6a49de}, author = {The Manifest} } @article {2018, title = {7 job skills of the future (That AI{\textquoteright}s and robots can{\textquoteright}t do better than humans)}, year = {2018}, month = {08/2018}, edition = {Enterprise Tech}, url = {https://www.forbes.com/sites/bernardmarr/2018/08/06/7-job-skills-of-the-future-that-ais-and-robots-cant-do-better-than-humans/$\#$da0ce596c2e9}, author = {Bernard Marr} } @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 = {A.I. And big data could power a new war on poverty}, year = {2018}, month = {01/2018}, url = {https://www.nytimes.com/2018/01/01/opinion/ai-and-big-data-could-power-a-new-war-on-poverty.html}, author = {Elisabeth a. Mason} } @article {2018, title = {AI: Augmentation, more so than automation}, year = {2018}, publisher = {Singapore Management University}, issn = {2315-4284}, url = {https://cmp.smu.edu.sg/ami/all}, author = {Steven Miller} } @conference {2018, title = {AI risk mitigation through democratic governance}, booktitle = {the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES {\textquoteright}18}, year = {2018}, pages = {366 - 367}, publisher = {ACM Press}, organization = {ACM Press}, address = {New Orleans, LA, USANew York, New York, USA}, isbn = {9781450360128}, doi = {10.1145/3278721.3278801}, author = {Garvey, Colin} } @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.} } @conference {2018, title = {Artificial Intelligence Applications and Innovations}, booktitle = {14th IFIP WG 12.5 International Conference, AIAI 2018}, year = {2018}, url = {https://www.springer.com/gp/book/9783319920153}, author = {Lazaros Iliadis and Ilias Maglogiannis and Vassilis Plagianakos} } @article {2018, title = {Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration}, journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences}, volume = {376}, year = {2018}, month = {Jan-09-2019}, pages = {20170357}, issn = {1364-503X}, doi = {10.1098/rsta.2017.0357}, author = {Mikhaylov, Slava Jankin and Esteve, Marc and Campion, Averill} } @article {2018, title = {Artificial Intelligence in Cardiology}, journal = {Journal of the American College of Cardiology}, volume = {71}, year = {2018}, month = {Jan-06-2018}, pages = {2668 - 2679}, issn = {07351097}, doi = {10.1016/j.jacc.2018.03.521}, author = {Johnson, Kipp W. and Torres Soto, Jessica and Glicksberg, Benjamin S. and Shameer, Khader and Miotto, Riccardo and Ali, Mohsin and Ashley, Euan and Joel T. Dudley} } @mastersthesis {2018, title = {Artificial Intelligence In The Sport Industry}, year = {2018}, url = {https://www.politesi.polimi.it/bitstream/10589/142501/1/ARTIFICIAL\%20INTELLIGENCE\%20IN\%20THE\%20SPORT\%20INDUSTRY_JACOPO\%20MOSELE.pdf}, author = {Jacopo Mosele} } @article {2018, title = {As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour}, year = {2018}, url = {https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf}, author = {Emilia G{\'o}mez and Carlos Castillo and Vicky Charisi and Ver{\'o}nica Dahl and Gustavo Deco and Blagoj Delipetrev and Nicole Dewandre and Miguel {\'A}ngel Gonz{\'a}lez-Ballester and Fabien Gouyon and Jos{\'e} Hern{\'a}ndez-Orallo and Perfecto Herrera and Anders Jonsson and Ansgar Koene and Martha Larson and Ram{\'o}n L{\'o}pez de M{\'a}ntaras and Bertin Martens and Marius Miron and Rub{\'e}n Moreno-Bote and Nuria Oliver and Antonio Puertas Gallardo and Heike Schweitzer and Nuria Sebastian and Xavier Serra and Joan Serr{\`a} and Song{\"u}l Tolan and Karina Vold} } @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 {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.} } @book {2018, title = {A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America{\textquoteright}s labour force}, volume = {10963}, year = {2018}, pages = {217 - 232}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-95170-6}, issn = {0302-9743}, doi = {10.1007/978-3-319-95171-3_18}, author = {Wogu, Ikedinachi Ayodele and Misra, Sanjay and Assibong, Patrick and Adewumi, Adewole and Damasevicius, Robertas and Maskeliunas, Rytis}, editor = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Stankova, Elena and Torre, Carmelo M. and Rocha, Ana Maria A.C. and Taniar, David and Apduhan, Bernady O. and Tarantino, Eufemia and Ryu, Yeonseung} } @article {2018, title = {The economics of artificial intelligence: Implications for the future of work}, year = {2018}, isbn = {978-92-2-031137-0}, issn = {978-92-2-031138-7}, url = {https://www.ilo.org/wcmsp5/groups/public/---dgreports/---cabinet/documents/publication/wcms_647306.pdf}, author = {Ekkehard Ernst and Rossana Merola and Daniel Samaan} } @article {2018, title = {Ethics of using Artificial Intelligence to augment drafting legal documents}, journal = { Texas A\&M Journal of Property Law}, volume = {4}, year = {2018}, edition = {3}, url = {https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=1080\&context=journal-of-property-law}, author = {David Hricik Hri and Asya-Lorrene S. Morgan and Kyle H. Williams} } @article {2018, title = {The evolving role of ICT in the economy}, year = {2018}, month = {06/2018}, keywords = {consulting reports}, url = {http://www.lse.ac.uk/business-and-consultancy/consulting/consulting-reports/the-evolving-role-of-ict-in-the-economy}, author = {Mirko Draca and Ralf Martin and Rosa Sanchis-Guarner} } @article {2018, title = {Explanation to Avert Surprise}, journal = {IUI Workshops}, year = {2018}, url = {https://www.semanticscholar.org/paper/Explanation-to-Avert-Surprise-Gervasio-Myers/8e3b3d9e9075095a87c96fa9690d2ccbf127234e}, author = {Melinda Gervasio and Karen Myers and Eric Yeh and Boone Adkins} } @article {2018, title = {Fedex follows Amazon into the robotic future}, year = {2018}, url = {https://www.nytimes.com/2018/03/18/technology/fedex-robots.html}, author = {Cade Metz} } @article {2018, title = {foo.castr: visualising the future AI workforce}, journal = {Big Data Analytics}, volume = {3}, year = {2018}, month = {Jan-12-2018}, doi = {10.1186/s41044-018-0034-z}, author = {Amador Diaz Lopez, Julio and Molina-Solana, Miguel and Kennedy, Mark T.} } @article {2018, title = { forbes.com 10 Amazing Examples Of How Deep Learning AI Is Used In Practice? }, year = {2018}, author = {Bernard Marr} } @article {2018, title = {Google Researchers Are Learning How Machines Learn}, year = {2018}, url = {https://www.nytimes.com/2018/03/06/technology/google-artificial-intelligence.html}, author = {Cade Metz} } @article {2018, title = {High tech, low growth: Robots and the future of work abstract}, journal = {Historical Materialism}, volume = {26}, year = {2018}, month = {May-12-2019}, pages = {3 - 34}, doi = {10.1163/1569206X-00001745}, author = {Moody, Kim} } @article {2018, title = {How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? }, journal = {Communications of the Association for Information Systems}, year = {2018}, month = {Jan-01-2018}, pages = {297 - 320}, doi = {10.17705/1CAIS.04319}, author = {Mendling, Jan and Decker, Gero and Hull, Richard and Reijers, Hajo A. and Weber, Ingo} } @article {2018, title = {Human capital management and future of work; job creation and unemployment: a literature review}, journal = {OALib}, volume = {05}, year = {2018}, month = {Jan-01-2018}, pages = {1 - 17}, issn = {2333-9721}, doi = {10.4236/oalib.1104859}, author = {Mukhalipi, Adamson} } @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} } @article {2018, title = {Industrial employment and income inequality: Evidence from panel data}, journal = {Structural Change and Economic Dynamics}, volume = {45}, year = {2018}, month = {Jan-06-2018}, pages = {84 - 93}, issn = {0954349X}, doi = {10.1016/j.strueco.2018.02.006}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0954349X17302862https://api.elsevier.com/content/article/PII:S0954349X17302862?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0954349X17302862?httpAccept=text/plain}, author = {Mehic, Adrian} } @article {2018, title = {Is IT changing the world? Conceptions of causality for information systems theorizing }, journal = {MIS Quarterly}, volume = {42}, year = {2018}, pages = {1255-1280}, url = {https://dl.acm.org/citation.cfm?id=3370119.3370131}, author = {M. Lynne Markus and Frantz Rowe} } @book {2018, title = {Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence}, volume = {10999}, year = {2018}, pages = {130 - 139}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-97675-4}, issn = {0302-9743}, doi = {10.1007/978-3-319-97676-1}, author = {Jakub Mlynar and Hamed S. Alavi and Himanshu Verma and Lorenzo Cantoni}, editor = {Matthew Ikl{\'e} and Arthur Franz and Rafal Rzepka and Ben Goertzel} } @book {2018, title = {Lecture Notes in Computer ScienceDesign, User Experience, and Usability: Theory and PracticeComparing Human Against Computer Generated Designs: New Possibilities for Design Activity Within Agile Projects}, volume = {10918}, year = {2018}, pages = {693 - 710}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-91796-2}, issn = {0302-9743}, doi = {10.1007/978-3-319-91797-9_48}, author = {Fernandes, Farley and Filgueiras, Ernesto and Neves, Andr{\'e}}, editor = {Marcus, Aaron and Wang, Wentao} } @proceedings {2018, title = {A literature Analysis of Research on Artificial Intelligence in Management Information System (MIS)}, year = {2018}, abstract = {This article presents an overview of Artificial Intelligence (AI) research applied in the Management Information System field by analyzing the databases of the AIS journal basket list representing the major international journal on MIS. AN initial set of 438 published papers was identified based on our search criteria. From those, 74 were selected because of their appropriate fit with the research questions. They were organized into domains, type of research, data collection strategy and AI techniques. We found; (1) MIS Quarterly published 42\% of the papers; (2) 50\% of studies were on Information Systems applications, followed by 15\% on Knowledge Management; and (3) 7 AI techniques were presented. This paper provides an overview of applied AI in Management, highlights the most studies related topics and techniques and contributes to a research agenda on the subject.}, keywords = {artificial intelligence, Information Systems, Literature Analysis}, author = {Alexandre Moreira Nascimento and Maria Alexandra V. C. da Cunha and Fernando de Souza Meirelles and Eusebio Scornavacca and Vinicius Veloso de Melo} } @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} } @book {2018, title = {Machine Learning for Ecology and Sustainable Natural Resource ManagementMachine Learning and {\textquoteleft}The Cloud{\textquoteright} for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide?}, year = {2018}, pages = {353 - 377}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-96976-3}, doi = {10.1007/978-3-319-96978-7_18}, author = {Grant Humphries and Huettmann, Falk}, editor = {Grant Humphries and Magness, Dawn R. and Huettmann, Falk} } @inbook {2018, title = {Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective}, booktitle = {Machine Learning for Ecology and Sustainable Natural Resource Management}, year = {2018}, pages = {3 - 26}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-96976-3}, doi = {10.1007/978-3-319-96978-7_1}, author = {Grant Humphries and Huettmann, Falk}, 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 = {The OD imperative to add inclusion to the algorithms of artificial intelligence}, year = {2018}, month = {01/2018}, abstract = {This article details concerns about the potential of machine learning processes to incorporate human biases inherent in social data into artificial intelligence systems that influence consequential decisions in the courts, business and financial transactions, and employment situations. It details incidents of biased decisions and recommendations made by artificial intelligence systems that have been given the patina of objectivity because they were made by machines supposedly free of human bias. The article offers suggestions for addressing the systemic biases that are impacting the viability, credibility, and fairness of machine learning processes and artificial intelligence system.}, url = {https://www.researchgate.net/publication/323830092_AI_x_I_AI2_The_OD_imperative_to_add_inclusion_to_the_algorithms_of_artificial_intelligence}, author = {Frederick A. Miller and Judith H. Katz and Roger Gans} } @proceedings {2018, title = {Recent advances in social \& cognitive robotics and imminent ethical challenges}, volume = {211}, year = {2018}, keywords = {ethics}, url = {https://www.atlantis-press.com/proceedings/rais-18/25902731}, author = {Ali Meghdari and Minoo Alemi} } @article {aroyo2018reports, title = {Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing}, journal = {AI Magazine}, volume = {39}, year = {2018}, pages = {57{\textendash}63}, author = {Aroyo, Lora and Dumitrache, Anca and Jeffrey V Nickerson and Lease, Matthew and Michelucci, Pietro} } @conference {2018, title = {Rethinking AI strategy and policy as entangled super wicked problems}, booktitle = {the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES {\textquoteright}18}, year = {2018}, pages = {122 - 122}, publisher = {ACM Press}, organization = {ACM Press}, address = {New Orleans, LA, USANew York, New York, USA}, isbn = {9781450360128}, doi = {10.1145/3278721.3278746}, author = {Gruetzemacher, Ross} } @article {2018, title = {Robotic Process Automation for Auditing}, journal = {Journal of Emerging Technologies in Accounting}, volume = {15}, year = {2018}, month = {Jan-07-2018}, pages = {1 - 10}, issn = {1554-1908}, doi = {10.2308/jeta-10589}, author = {Moffitt, Kevin C. and Rozario, Andrea M. and Vasarhelyi, Miklos A.} } @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 = {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 a Sociological Conception of Artificial Intelligence}, booktitle = {Artificial General Intelligence (AGI)}, year = {2018}, publisher = {Springer}, organization = {Springer}, abstract = {Social sciences have been always formed and influenced by the development of society, adjusting the conceptual, methodological, and theoretical frameworks to emerging social phenomena. In recent years, with the leap in the advancement of Artificial Intelligence (AI) and the proliferation of its everyday applications, "non-human intelligent actors" are increasingly becoming part of the society. This is manifested in the evolving realms of smart home systems, autonomous vehicles, chatbots, intelligent public displays, etc. In this paper, we present a prospective research project that takes one of the pioneering steps towards establishing a "distinctively sociological" conception of AI. Its first objective is to extract the existing conceptions of AI as perceived by its technological developers and (possibly differently) by its users. In the second part, capitalizing on a set of interviews with experts from social science domains, we will explore the new imaginable conceptions of AI that do not originate from its technological possibilities but rather from societal necessities. The current formal ways of defining AI are grounded in the technological possibilities, namely, machine learning methods and neural network models. Buy what exactly is AI as a social phenomenon, which may act on its own, can be blamed responsible for ethically problematic behavior, or even endanger people{\textquoteright}s employment? We argue that such conceptual investigation is a crucial step for further empirical studies of phenomena related to AI{\textquoteright}s position in current societies, but also will open up ways for critiques of new technological advancements with social consequences in mind from the outset.}, keywords = {artificial intelligence, Social sciences, Sociology}, doi = {10.1007/978-3-319-97676-1_13}, author = {Jakub Mlynar and Hamed S. Alavi and Himanshu Verma and Lorenzo Cantoni} } @conference {2018, title = {Understanding Chatbot-mediated Task Management}, booktitle = {the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI {\textquoteright}18}, year = {2018}, pages = {1 - 6}, publisher = {ACM Press}, organization = {ACM Press}, address = {Montreal QC, CanadaNew York, New York, USA}, isbn = {9781450356206}, doi = {10.1145/317357410.1145/3173574.3173632}, author = {Toxtli, Carlos and Monroy-Hern{\'a}ndez, Andr{\'e}s and Cranshaw, Justin} } @book {2018, title = {Understanding tasks, automation, and the national health service}, volume = {10766}, year = {2018}, pages = {544 - 549}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-78104-4}, issn = {0302-9743}, doi = {10.1007/978-3-319-78105-1_60}, author = {Willis, Matt and Meyer, Eric T.}, editor = {Chowdhury, Gobinda and McLeod, Julie and Gillet, Val and Willett, Peter} } @article {2018, title = {Will artificial intelligence solve the human resource crisis in healthcare?}, journal = {BMC Health Services Research}, volume = {18}, year = {2018}, month = {Jan-12-2018}, doi = {10.1186/s12913-018-3359-4}, author = {Mesk{\'o}, Bertalan and Het{\'e}nyi, Gergely and Gy{\H o}rffy, Zsuzsanna} } @article {2018, title = {Work and organizational psychology looks at the fourth industrial revolution: How to support workers and organizations? }, journal = {Frontiers in Psychology}, volume = {9}, year = {2018}, month = {Apr-11-2020}, doi = {10.3389/fpsyg.2018.02365}, author = {Ghislieri, Chiara and Molino, Monica and Cortese, Claudio G.} } @conference {2018, title = {Work that Enables Care: Understanding Tasks, Automation, and the National Health Service}, booktitle = {iConference}, year = {2018}, publisher = {Springer}, organization = {Springer}, abstract = {Automation of jobs is discussed as a threat to many job occupations, but in the UK healthcare sector many view technology and automation as a way to save a threatened system. However, existing quantitative models that rely on occupation-level measures of the likelihood of automation suggest that few healthcare occupations are susceptible to automation. In order to improve these quantitative models, we focus on the potential impacts of task-level automation on health work, using qualitative ethnographic research to understand the mundane information work in general practices. By understanding the detailed tasks and variations of information work, we are building a more complete and accurate understanding of how healthcare staff work and interact with technology and with each other, often mediated by technology.}, keywords = {automation, Ethnography, Primary care, Sociotechnical}, doi = {10.1007/978-3-319-78105-1_60}, author = {Matt WIllis and Eric T. Meyer} } @article {2017, title = {Algorithmic IF {\textellipsis} THEN rules and the conditions and consequences of power}, journal = {Information, Communication \& Society}, volume = {20}, year = {2017}, month = {Feb-01-2017}, pages = {45 - 62}, issn = {1369-118X}, doi = {10.1080/1369118X.2016.1156141}, author = {Neyland, Daniel and M{\"o}llers, Norma} } @article {2017, title = {Artificial intelligence in healthcare: past, present and future}, journal = {Stroke and Vascular Neurology}, volume = {2}, year = {2017}, month = {Aug-12-2018}, pages = {230 - 243}, issn = {2059-8688}, doi = {10.1136/svn-2017-000101}, author = {Jiang, Fei and Jiang, Yong and Zhi, Hui and Dong, Yi and Li, Hao and Ma, Sufeng and Wang, Yilong and Dong, Qiang and Shen, Haipeng and Wang, Yongjun} } @article {2017, title = {Artificial intelligence in research}, journal = {Science}, volume = {357}, year = {2017}, month = {Jul-07-2017}, pages = {28 - 30}, issn = {0036-8075}, doi = {10.1126/science.357.6346.28}, author = {Musib, Mrinal and Wang, Feng and Tarselli, Michael A. and Yoho, Rachel and Yu, Kun-Hsing and Andr{\'e}s, Rigoberto Medina and Greenwald, Noah F. and Pan, Xubin and Lee, Chien-Hsiu and Zhang, Jian and Dutton-Regester, Ken and Johnston, Jake Wyatt and Sharafeldin, Icell Mahmoud} } @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 = {Comparing the initial human-human and human-AI social interactions}, journal = {Computers in Human Behavior}, volume = {72}, year = {2017}, month = {Jan-07-2017}, pages = {432 - 440}, issn = {07475632}, doi = {10.1016/j.chb.2017.02.067}, author = {Mou, Yi and Xu, Kun} } @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 = {Datification, organizational strategy, and is research: What{\textquoteright}s the score? }, journal = {The Journal of Strategic Information Systems}, volume = {26}, year = {2017}, month = {Jan-09-2017}, pages = {233 - 241}, issn = {09638687}, doi = {10.1016/j.jsis.2017.08.003}, author = {Markus, M. Lynne} } @article {2017, title = {Debating big data: A literature review on realizing value from big data}, journal = {The Journal of Strategic Information Systems}, volume = {26}, year = {2017}, month = {Jan-09-2017}, pages = {191 - 209}, issn = {09638687}, doi = {10.1016/j.jsis.2017.07.003}, author = {G{\"u}nther, Wendy Arianne and Rezazade Mehrizi, Mohammad H. and Huysman, Marleen and Feldberg, Frans} } @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 {2017, title = {Deep learning for healthcare: review, opportunities and challenges}, journal = {Briefings in Bioinformatics}, volume = {19}, year = {2017}, month = {Jun-05-2017}, pages = {1236 - 1246}, issn = {1467-5463}, doi = {10.1093/bib/bbx044}, author = {Miotto, Riccardo and Wang, Fei and Wang, Shuang and Jiang, Xiaoqian and Joel T. Dudley} } @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} } @article {2017, title = {Exploring the tension between transparency and datification effects of open government IS through the lens of Complex Adaptive Systems}, journal = {The Journal of Strategic Information Systems}, volume = {26}, year = {2017}, month = {Jan-09-2017}, pages = {210 - 232}, issn = {09638687}, doi = {10.1016/j.jsis.2017.07.001}, author = {Marjanovic, Olivera and Cecez-Kecmanovic, Dubravka} } @article {2017, title = {The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms}, journal = {Futures}, volume = {90}, year = {2017}, month = {Jan-06-2017}, pages = {46 - 60}, issn = {00163287}, doi = {10.1016/j.futures.2017.03.006}, author = {Makridakis, Spyros} } @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} } @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 = {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 = {One hundred years of work design research: Looking back and looking forward}, journal = {Journal of Applied Psychology}, volume = {102}, year = {2017}, month = {Jan-01-2017}, pages = {403 - 420}, issn = {0021-9010}, doi = {10.1037/apl0000106}, author = {Parker, Sharon K. and Morgeson, Frederick P. and Johns, Gary} } @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} } @conference {2017, title = {SPIE ProceedingsBuilding a framework to manage trust in automation}, booktitle = {SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX}, volume = {10194}, year = {2017}, pages = {101941U}, publisher = {SPIE}, organization = {SPIE}, address = {Anaheim, California, United States}, doi = {10.1117/12.2264245}, author = {Metcalfe, J. S. and Amar R. Marathe and Haynes, B. and Paul, V. J. and Gremillion, G. M. and Drnec, K. and Atwater, C. and Estepp, J. R. and Lukos, J. R. and Carter, E. C. and W. D. Nothwang}, editor = {George, Thomas and Dutta, Achyut K. and Islam, M. Saif} } @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 = {AP{\textquoteright}s robot journalists are writing about Minor League Baseball now}, year = {2016}, url = {https://www.theverge.com/2016/7/4/12092768/ap-robot-journalists-automated-insights-minor-league-baseball}, author = {Rich McCormick} } @conference {2016, title = {Degree of Automation in Command and Control Decision Support Systems}, booktitle = {IEEE International Conference on Systems, Man and Cybernetics}, year = {2016}, url = {https://ieeexplore.ieee.org/document/7844402}, author = {Ryan M. Robinson and Michael J. McCount and Amar R. Marathe and W. D. Nothwang and Emily A. Doucette} } @article {2016, title = {How technology is changing work and organizations}, journal = {Annual Review of Organizational Psychology and Organizational Behavior}, volume = {3}, year = {2016}, month = {Sep-03-2017}, pages = {349 - 375}, issn = {2327-0608}, doi = {10.1146/annurev-orgpsych-041015-062352}, author = {Cascio, Wayne F. and Montealegre, Ramiro} } @article {2016, title = {The rise of social bots}, journal = {Communications of the ACM}, volume = {59}, year = {2016}, month = {Dec-06-2017}, pages = {96 - 104}, issn = {00010782}, doi = {10.1145/2818717}, author = {Ferrara, Emilio and Varol, Onur and Davis, Clayton and Menczer, Filippo and Flammini, Alessandro} } @article {2016, title = {Robots working with humans or humans working with robots?}, journal = {Societies}, volume = {6}, year = {2016}, month = {Jan-09-2016}, pages = {23}, doi = {10.3390/soc6030023}, author = {Moniz, Ant{\'o}nio and Krings, Bettina-Johanna} } @conference {2016, title = {SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions}, booktitle = {SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII}, volume = {9836}, year = {2016}, pages = {983621}, publisher = {SPIE}, organization = {SPIE}, address = {Baltimore, Maryland, United States}, doi = {10.1117/12.2220788}, url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2220788}, author = {Lee, Hyungtae and Kwon, Heesung and Ryan M. Robinson and W. D. Nothwang and Amar R. Marathe}, editor = {George, Thomas and Dutta, Achyut K. and Islam, M. Saif} } @article {RN30610, title = {Four fundamentals of workplace automation}, journal = {McKinsey Quarterly}, year = {2015}, month = {November}, pages = {1{\textendash}9}, type = {Magazine Article}, author = {Chui, Michael and Manyika, James and Miremadi, Mehdi} } @article {2015, title = {The history of technological anxiety and the future of economic growth: Is this time different? }, journal = {Journal of Economic Perspectives}, volume = {29}, year = {2015}, month = {Jan-08-2015}, pages = {31 - 50}, issn = {0895-3309}, doi = {10.1257/jep.29.3.31}, author = {Mokyr, Joel and Vickers, Chris and Ziebarth, Nicolas L.} } @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} } @conference {2015, title = {Intelligible Models for HealthCare}, booktitle = {the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD {\textquoteright}15}, year = {2015}, pages = {1721 - 1730}, publisher = {ACM Press}, organization = {ACM Press}, address = {Sydney, NSW, AustraliaNew York, New York, USA}, isbn = {9781450336642}, doi = {10.1145/278325810.1145/2783258.2788613}, author = {Caruana, Rich and Lou, Yin and Gehrke, Johannes and Koch, Paul and Sturm, Marc and Elhadad, Noemie} } @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 = {Human-agent collectives}, journal = {Communications of the ACM}, volume = {57}, year = {2014}, month = {Feb-11-2016}, pages = {80 - 88}, issn = {00010782}, doi = {10.1145/269296510.1145/2629559}, author = {Jennings, N. R. and Moreau, L. and Nicholson, D. and Ramchurn, S. and Roberts, S. and Rodden, T. and Rogers, A.} } @conference {2013, title = {Survey of metrics for human-robot interaction}, booktitle = {IEEE International Conference}, year = {2013}, keywords = {bots}, url = {https://ieeexplore.ieee.org/document/6483569}, author = {Robin R. Murphy and Debra Schreckenghost} } @article {2010, title = {Understanding the role of occupational and organizational context}, journal = {Journal of Organizational Behavior}, volume = {31}, year = {2010}, month = {Jan-02-2010}, pages = {351 - 360}, issn = {08943796}, doi = {10.1002/job.642}, author = {Morgeson, Frederick P. and Dierdorff, Erich C. and Hmurovic, Jillian L.}, editor = {Grant, Adam and Fried, Yitzhak and Parker, Sharon and Frese, Michael} } @conference {2009, title = {The changing face of digital science}, booktitle = {the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA {\textquoteright}09}, year = {2009}, pages = {4819}, publisher = {ACM Press}, organization = {ACM Press}, address = {Boston, MA, USANew York, New York, USA}, isbn = {9781605582474}, doi = {10.1145/1520340.1520749}, author = {Aragon, Cecilia R. and Poon, Sarah and Silva, Claudio T.} } @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} } @article {2008, title = {Job and team design: Toward a more integrative conceptualization of work design}, journal = {Research in Personnel and Human Resources ManagementResearch in Personnel and Human Resources Management}, volume = {27}, year = {2008}, pages = {39{\textendash}91}, author = {Frederick P. 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