@article {2024, title = {Artificial Intelligence and the Future of Citizen Science}, journal = {Citizen Science: Theory and Practice}, volume = {9}, year = {2024}, month = {11/2024}, pages = {32}, doi = {10.5334/cstp.812}, author = {Fortson, Lucy and Crowston, Kevin and Kloetzer, Laure and Ponti, Marisa} } @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 {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 {Reid-musson2020, title = {Feminist economic geography and the future of work}, journal = {EPA: Economy and Space}, year = {2020}, pages = {1{\textendash}12}, keywords = {corresponding author, department of geography, emily reid-musson, feminist economic geography, memorial university of newfoundland, newfoundland and labrador a1c, social reproduction, subjectivity, technology, work}, doi = {10.1177/0308518X20947101}, author = {Reid-musson, Emily and Cockayne, Daniel and Frederiksen, Lia and Worth, Nancy} } @article {Delfanti2020, title = {Humanly Extended Automation or the Future of Work Seen through Amazon Patents}, journal = {Science, Technology, \& Human Values}, year = {2020}, pages = {016224392094366}, abstract = {

Amazon{\textquoteright}s projects for future automation contribute to anxieties about the marginalization of living labor in warehousing. Yet, a systematic analysis of patents owned by Amazon suggests that workers are not about to disappear from the warehouse floor. Many patents portray machines that increase worker surveillance and work rhythms. Others aim at incorporating workers{\textquoteright} activities into machinery to rationalize the labor process in an ever more pervasive form of digital Taylorism. Patents materialize the company{\textquoteright}s desire for a technological future in which workers act and sense on behalf of machinery, becoming its living and sensing appendages. In this new relationship, humans extend machinery and its reach. Through the work-in-progress process of reaching increasing levels of automation, Amazon develops new technical foundations that consolidate its power in the digital workplace.

}, issn = {0162-2439}, doi = {10.1177/0162243920943665}, url = {http://journals.sagepub.com/doi/10.1177/0162243920943665}, author = {Delfanti, Alessandro and Frey, Bronwyn} } @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 {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} } @conference {Ferreira2020, title = {Understanding the Impact of Artificial Intelligence on Services}, booktitle = {International Conference on Exploring Services Science}, series = {Lecture Notes in Business Information Processing}, volume = {1}, number = {January}, year = {2020}, pages = {202{\textendash}213}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {The service sector is changing drastically due the use of robotics and other technologies, such as Artificial Intelligence (AI), Internet of things (IoT), Big Data and Biometrics. Consequently, further research opportunities in the service industry domain are also expected. In light of the above, the purpose of this paper is to explore the potentialities and limitations of service robots in the hospitality industry. To this end, this paper uses a conceptual approach based on a literature review. As a result, we found that in contexts of high customer contact, service robots should be considered to perform standardized tasks due to social/emotional and cognitive/analytical complexity. The hospitality industry is therefore considered closely related to empathic intelligence, as the integration of service robots has not yet reached the desired stage of service delivery. In a seemingly far-fetched context of our reality, organizations will have to decide whether the AI will allow the complete replacement of humans with robots capable of performing the necessary cognitive and emotional tasks. Or investing in balanced capacities by integrating robot-human systems that seems a rea- sonable option these days. Keywords:}, keywords = {{\'a} servitization {\'a} design, science research, service design}, isbn = {9783030387242}, doi = {10.1007/978-3-030-38724-2}, url = {http://link.springer.com/10.1007/978-3-030-38724-2}, author = {Ferreira, Pedro and Teixeira, Jorge Grenha and Teixeira, Lu{\'\i}s F.}, editor = {N{\'o}voa, Henriqueta and Dr{\u a}goicea, Monica and K{\"u}hl, Niklas} } @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} } @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 = {Collaboration and delegation between humans and AI: An experimental investigation of the future of work}, journal = {SSRN Electronic Journal}, year = {2019}, month = {Jan-01-2019}, doi = {10.2139/ssrn.3368813}, author = {F{\"u}gener, Andreas and Grahl, J{\"o}rn and Gupta, Alok and Ketter, Wolfgang} } @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 = {Examples of artificial intelligence in education}, year = {2019}, keywords = {process automation}, url = {https://emerj.com/ai-sector-overviews/examples-of-artificial-intelligence-in-education/}, author = {Daniel Faggella} } @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 = {How frightened should we be of AI ? }, year = {2019}, url = {https://www.newyorker.com/books/double-take/sunday-reading-the-rise-of-artificial-intelligence}, author = {Tad Friend} } @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} } @article {2019, title = {The impact of automation technologies for employment in Northern Ireland}, year = {2019}, publisher = {Nevin Economic Research Institute}, keywords = {economics of automation}, url = {https://www.nerinstitute.net/research/the-future-of-work-the-impact-of-automation-techno-1/}, author = {Lisa Wilson and Paul Mac Flynn} } @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 = {Physician perspectives on integration of artificial intelligence into diagnostic pathology}, journal = {npj Digital Medicine}, volume = {2}, year = {2019}, month = {Jan-12-2019}, doi = {10.1038/s41746-019-0106-0}, author = {Sarwar, Shihab and Dent, Anglin and Faust, Kevin and Richer, Maxime and Djuric, Ugljesa and Van Ommeren, Randy and Diamandis, Phedias} } @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 {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 {2019, title = {Using artificial intelligence in health-system pharmacy practice: Finding new patterns that matter}, journal = {American Journal of Health-System Pharmacy}, volume = {76}, year = {2019}, month = {May-04-2020}, pages = {622 - 627}, issn = {1079-2082}, doi = {10.1093/ajhp/zxz018}, author = {Flynn, Allen} } @article {2018, title = {AI and the Economy}, year = {2018}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, doi = {10.3386/w24689}, author = {Furman, Jason and Seamans, Robert} } @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 General Intelligence}, year = {2018}, url = {https://ivizlab.org/wp-content/uploads/sites/2/2018/09/TurnerDiPaola_2018_ArtificialGeneralIntelligence.pdf}, author = {Matthew Ikl{\'e} and Arthur Franz and Rafal Rzepka and Ben Goertzel} } @article {2018, title = {Artificial intelligence: Implications for social inflation and insurance}, journal = {Risk Management and Insurance Review}, volume = {21}, year = {2018}, month = {Jan-12-2018}, pages = {373 - 387}, doi = {10.1111/rmir.12111}, author = {Kelley, Kevin H. and Fontanetta, Lisa M. and Heintzman, Mark and Pereira, Nikki} } @article {2018, title = {Autonomous vehicles employment impact study}, year = {2018}, month = {09/2018}, url = {https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf}, author = {Brian Haratsis and Tony Carmichael and Mark Coutney and Jacob Fong} } @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 = {DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES}, journal = {Landscape Architecture Frontiers}, volume = {6}, year = {2018}, month = {Jan-01-2018}, pages = {56}, issn = {2095-5405}, doi = {10.15302/J-LAF-20180207}, author = {Linghao Cai and Ling Fan and Wenbo Lai and LONG, Ying and Peng Wang and Xiangyang Xin} } @article {2018, title = { IBM Watson Talent The Business Case for AI in HR With Insights and Tips on Getting Started }, year = {2018}, url = {https://www.ibm.com/downloads/cas/AGKXJX6M}, author = {Nigel Guenole and Sheri Feinzig} } @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} } @article {2018, title = {Managing talented worker in the era of new psychological contract}, journal = {Jurnal Aplikasi Manajemen}, volume = {16}, year = {2018}, month = {Jan-03-2018}, pages = {20 - 26}, issn = {16935241}, doi = {10.21776/ub.jam.2018.016.01.03}, author = {Haryadi, Haryadi and Anggraeni, Ade Irma and Ibrahim, Daing Nasir} } @article {2018, title = {A method to link advances in Artificial Intelligence to occupational abilities}, journal = {AEA Papers and Proceedings}, volume = {108}, year = {2018}, month = {Jan-01-2018}, pages = {54 - 57}, issn = {2574-0768}, doi = {10.1257/pandp.20181021}, author = {Felten, Edward W. and Raj, Manav and Seamans, Robert} } @article {2018, title = {Ownership when AI robots do more of the work and earn more of the income}, journal = {Journal of Participation and Employee Ownership}, volume = {1}, year = {2018}, month = {Nov-06-2018}, pages = {74 - 95}, issn = {2514-7641}, doi = {10.1108/JPEO-04-2018-0015}, author = {Freeman, Richard B.} } @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 = {Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job}, journal = {Organization Studies}, year = {2018}, month = {04/2018}, pages = {017084061876556}, edition = {2}, abstract = {A number of recent high-profile studies of robotics and artificial intelligence (or AI) in economics and sociology have predicted that many jobs will soon disappear due to automation, with few new ones replacing them. While techno-optimists and techno-pessimists contest whether a jobless future is a positive development or not, this paper points to the elephant in the room. Despite successive waves of computerization (including advanced machine learning), jobs have not disappeared. And probably won{\textquoteright}t in the near future. To explain why, some basic insights from organization studies can make a contribution. I propose the concept of {\textquoteright}bounded automation{\textquoteright} to demonstrate how organizational forces mould the application of technology in the employment sector. If work does not vanish in the age of AI, then poorly paid jobs will most certainly proliferate, I argue. Finally, a case is made for the scholarly community to engage with wider social justice concerns. This I term public organization studies.}, keywords = {artificial intelligence, bounded automation, neoliberalism, public organization studies, Robotics, unemployment, work}, issn = {0170-8406}, doi = {10.1177/0170840618765568}, url = {http://journals.sagepub.com/doi/10.1177/0170840618765568}, author = {Fleming, Peter} } @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 = {Technology, productivity and employment: an empirical analysis of indian industries}, journal = {Journal of Business Thought}, volume = {9}, year = {2018}, month = {Jan-04-2020}, pages = {1 - 10}, doi = {10.18311/jbt/2018/21173}, author = {Aggarwal, Suresh Chand} } @article {2018, title = {Working and organizing in the age of the learning algorithm}, journal = {Information and Organization}, volume = {28}, year = {2018}, month = {Jan-03-2018}, pages = {62 - 70}, issn = {14717727}, doi = {10.1016/j.infoandorg.2018.02.005}, author = {Faraj, Samer and Pachidi, Stella and Sayegh, Karla} } @article {2018, title = {Working and organizing in the age of the learning algorithm}, journal = {Information and Organization}, volume = {28}, year = {2018}, publisher = {Elsevier}, chapter = {62-70}, abstract = {Learning algorithms, technologies that generate responses, classifications, or dynamic predictions that resemble those of a knowledge worker, raise important research questions for organizational scholars related to work and organizing. We suggest that such algorithms are distinguished by four consequential aspects: black-boxed performance, comprehensive digitization, anticipatory quantification, and hidden politics. These aspects are likely to alter work and organizing in qualitatively different ways beyond simply signaling an acceleration of long-term technology trends. Our analysis indicates that learning algorithms will transform expertise in organizations, reshape work and occupational boundaries, and offer novel forms of coordination and control. Thus, learning algorithms can be considered performative due to the extent to which their use can shape and alter work and organizational realities. Their rapid deployment requires scholarly attention to societal issues such as extent to which the algorithm is authorized to make decisions, the need to incorporate morality in the technology, and their digital iron-cage potential.}, doi = {10.1016/j.inforandorg.2018.02.005}, author = {Samer Faraj and Stella Pachidi and Karla Sayegh} } @article {2017, title = {Artificial Intelligence For Social Good}, year = {2017}, note = {Sponsored by the Computing Community Consortium (CCC)}, url = {https://cra.org/ccc/wp-content/uploads/sites/2/2016/04/AI-for-Social-Good-Workshop-Report.pdf}, author = {Gregory D. Hager and Ann Drobnis and Fei Fang and Rayid Ghani and Amy Greenwald and Terah Lyons and David C. Parkes and Jason Schultz and Suchi Saria and Stephen F. Smith and Milind Tambe} } @article {2017, title = {Automation, computerization and future employment in Singapore}, journal = {Southeast Asian Economies}, volume = {34}, year = {2017}, month = {Jul-08-2019}, pages = {388 - 399}, issn = {2339-5095}, doi = {10.1355/ae34-2h}, author = {Fuei, Lee King} } @proceedings {2017, title = {Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study}, volume = {742}, year = {2017}, pages = {65 - 71}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-66962-5}, issn = {1865-0929}, doi = {10.1007/978-3-319-66963-2_7}, author = {Aguirre, Santiago and Rodriguez, Alejandro}, editor = {Figueroa-Garc{\'\i}a, Juan Carlos and L{\'o}pez-Santana, Eduyn Ramiro and Villa-Ram{\'\i}rez, Jos{\'e} Luis and Ferro-Escobar, Roberto} } @proceedings {2017, title = {Chatbots as assistants, an architectural framework}, year = {2017}, url = {https://dl.acm.org/citation.cfm?id=3172805}, author = {Adam Di Prospera and Nojan norouzi and Morios Fokaefs and Marin Litoiu} } @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 = {Evaluating Assessments in the Age of Big Data and AI}, year = {2017}, url = {https://www.ibm.com/downloads/cas/D5GQD70R}, author = {Nigel Guenole and Sheri Feinzig} } @article {2017, title = {An experimental comparison of Chatbot and Human task partners}, journal = {Computers in Human Behavior}, volume = {75}, year = {2017}, month = {Jan-10-2017}, pages = {461 - 468}, issn = {07475632}, doi = {10.1016/j.chb.2017.05.045}, author = {Fryer, Luke K. and Ainley, Mary and Thompson, Andrew and Gibson, Aaron and Sherlock, Zelinda} } @article {2017, title = {The future of employment: How susceptible are jobs to computerisation?}, journal = {Technological Forecasting and Social Change}, volume = {114}, year = {2017}, month = {Jan-01-2017}, pages = {254 - 280}, issn = {00401625}, doi = {10.1016/j.techfore.2016.08.019}, author = {Frey, Carl Benedikt and Osborne, Michael A.} } @article {2017, title = {A History of Deep Learning}, year = {2017}, url = {https://www.import.io/post/history-of-deep-learning/}, author = {Andrew Fogg} } @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 = {Service Robotics and Human Labor: A first technology assessment of substitution and cooperation}, journal = {Robotics and Autonomous Systems}, volume = {87}, year = {2017}, month = {Jan-01-2017}, pages = {348 - 354}, issn = {09218890}, doi = {10.1016/j.robot.2016.09.017}, author = {Decker, Michael and Fischer, Martin and Ott, Ingrid} } @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 {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 = {Job design research and theory: Past, present and future}, journal = {Organizational Behavior and Human Decision Processes}, volume = {136}, year = {2016}, month = {Jan-09-2016}, pages = {20 - 35}, issn = {07495978}, doi = {10.1016/j.obhdp.2016.05.002}, author = {Oldham, Greg R. and Fried, Yitzhak} } @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 = {Structural transformation in the OECD}, volume = {193}, year = {2016}, doi = {10.1787/5jlr068802f7-en}, author = {Thor Berger and Carl Benedikt Frey} } @article {2015, title = {A comparison between human{\textendash}human online conversations and human{\textendash}chatbot conversations}, journal = {Computers in Human Behavior}, volume = {49}, year = {2015}, month = {Jan-08-2015}, pages = {245 - 250}, issn = {07475632}, doi = {10.1016/j.chb.2015.02.026}, author = {Hill, Jennifer and Randolph Ford, W. and Farreras, Ingrid G.} } @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} } @article {2015, title = {Who owns the robots rules the world}, journal = {IZA World of Labor}, year = {2015}, month = {Jan-01-2015}, doi = {10.15185/izawol.5}, author = {Freeman, Richard} } @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 {2014, title = {A transdisciplinary perspective on hedonomic sustainability design}, year = {2014}, keywords = {environmental efficacy, environmental sustainability, hedonomics, sustainable design, transdisciplinary research}, doi = {10.1177\%2F1064804613516762}, url = {https://journals.sagepub.com/doi/abs/10.1177/1064804613516762?journalCode=erga}, author = {Stephen M. Fiore and Elizabeth Philips and Brittany C. Sellers} } @article {2010, title = {Not what it was and not what it will be: The future of job design research}, journal = {Journal of Organizational Behavior}, volume = {31}, year = {2010}, month = {Jan-02-2010}, pages = {463 - 479}, issn = {08943796}, doi = {10.1002/job.v31:2/310.1002/job.678}, author = {Oldham, Greg R. and Hackman, J. Richard}, editor = {Grant, Adam and Fried, Yitzhak and Parker, Sharon and Frese, Michael} } @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} } @article {2007, title = {Towards a theory for multiparty proactive communication in agent teams}, journal = {International Journal of Cooperative Information Systems}, volume = {16}, year = {2007}, month = {Jan-06-2009}, pages = {271 - 298}, issn = {0218-8430}, doi = {10.1142/S0218843007001640}, author = {Kaivan Kamali and Xiaocong Fan and John Yen, JOHN} } @article {1966, title = {{\textquotedblleft}Algorithm{\textquotedblright} and {\textquotedblleft}formula{\textquotedblright}}, journal = {Communications of the ACM}, volume = {9}, year = {1966}, month = {Jan-04-1966}, pages = {243}, issn = {00010782}, doi = {10.1145/365278.365286}, author = {Wangsness, T. and Franklin, J.} } @article {1965, title = {Automation and the Division of Labor}, journal = {Social Problems}, volume = {13}, year = {1965}, month = {Jan-10-1965}, pages = {149 - 160}, issn = {00377791}, doi = {10.2307/798900}, author = {Faunce, William A.} }