Who's new

Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington
Wayne Wang Fundação Getulio Vargas

Recent publications

Technological Frames: Interpretations about the Futures of Work and Intelligent Machines on Social Media , Ayşe Öcal; Kevin Crowston
ReelFramer: Human-AI Co-Creation for News-to-Video Translation , Sitong Wang; Samia Menon; Tao Long; Keren Henderson; Dingzeyu Li; Kevin Crowston; Mark Hansen; Jeffrey V. Nickerson; Lydia B. Chilton
Making sense of AI systems development , Mateusz Dolata; Kevin Crowston
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models , Savvas Petridis; Nicholas Diakopoulos; Kevin Crowston; Mark Hansen; Keren Henderson; Stan Jastrzebski; Jefrey V. Nickerson; Lydia B. Chilton
Project archetypes: A blessing and a curse for AI development , Mateusz Dolata; Kevin Crowston; Gerhard Schwabe

Recently added resources

WAIM Doctoral Research Fellowship CFP , Presentation , Kevin Crowston, Ingrid Erickson, Jeffrey Nickerson
Using Work System Theory, Facets of Work, and Dimensions of Smartness to Characterize Applications and Impacts of AI , Report , Steven Alter
Converging Design: AI, Jobs, Job Design and Organizations , Presentation , Discussion Group

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Coward, C. (2017). AI AND THE GHOST IN THE MACHINE. Retrieved de HACKADAY website: http://hackaday.com/2017/02/06/ai-and-the-ghost-in-the-machine/

Dalgali, A., & Crowston, K.. (2020). Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf

CJ_2020_paper_26.pdf (1.24 MB)

Jensen, B. M., Whyte, C., & Cuomo, S.. (2019). Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence. International Studies Review. https://doi.org/10.1093/isr/viz025

Kellogg, K. C., Valentine, M. A., & Christin, A.. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907

Nichols, J. A., Chan, H. W. Herbert, & Baker, M. A. B.. (2019). Applications of artificial intelligence to imaging and diagnosis. Biophysical Reviews, 11(1), 111 - 118. https://doi.org/10.1007/s12551-018-0449-9

Lee, Y., Ragguett, R. - M., Mansur, R. B., Boutilier, J. J., Rosenblat, J. D., Trevizol, A., et al.. (2018). Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review. Journal Of Affective Disorders, 241, 519-532. https://doi.org/10.1016/j.jad.2018.08.073

Lee, Y., Ragguett, R. - M., Mansur, R. B., Boutilier, J. J., Rosenblat, J. D., Trevizol, A., et al.. (2018). Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review. Journal Of Affective Disorders, 241, 519-532. https://doi.org/10.1016/j.jad.2018.08.073

Gentili, A., Compagnucci, F., Gallegati, M., & Valentini, E.. (2020). Are machines stealing our jobs?. Cambridge Journal Of Regions, Economy And Society, 13, 153–173. https://doi.org/10.1093/cjres/rsz025

Cui, Y. (2020). Artificial Intelligence and Judicial Modernization. https://doi.org/10.1007/978-981-32-9880-4

Danysz, K., Cicirello, S., Mingle, E., Assuncao, B., Tetarenko, N., Mockute, R., et al.. (2019). Artificial Intelligence and the Future of the Drug Safety Professional. Drug Safety, 42(4), 491 - 497. https://doi.org/10.1007/s40264-018-0746-z

Chace, C. (2017). Artificial Intelligence and the two singularities. In A Chapman & Hall Book (1st ed.). Retrieved de https://www.amazon.com/Artificial-Intelligence-Singularities-Chapman-Robotics/dp/0815368534

Cuthbertson, A. (2019). Artificial intelligence conquers starcraft II in 'unimaginably unusual' AI breakthrough. Independent. Retrieved de https://www.independent.co.uk/life-style/gadgets-and-tech/gaming/artificial-intelligence-starcraft-2-ai-deepmind-a9176601.html

Mikhaylov, S. Jankin, Esteve, M., & Campion, A.. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences, 376(2128), 20170357. https://doi.org/10.1098/rsta.2017.0357

Belanche, D., Casaló, L. V., & Flavián, C.. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411 - 1430. https://doi.org/10.1108/IMDS-08-2018-0368

Ågerfalk, P. J., Conboy, K., Crowston, K., Jarvenpaa, S. L., Lundström, J. Eriksson, Mikalef, P., & Ram, S.. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017

Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)

Ågerfalk, P. J., Conboy, K., Crowston, K., Jarvenpaa, S. L., Lundström, J. Eriksson, Mikalef, P., & Ram, S.. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017

Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)

Shoham, Y., Perrault, R., Brynjolfsson, E., & Clark, J.. (2017). Artificial Intelligence Index. Retrieved de https://aiindex.org/2017-report.pdf

Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlstrom, P., et al.. (2017). Artificial Intelligence: The next digital frontier. Mckinsey Global Institute. Retrieved de https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx

Gómez, E., Castillo, C., Charisi, V., Dahl, V., Deco, G., Delipetrev, B., et al.. (2018). As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. Retrieved de https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf

Gómez, E., Castillo, C., Charisi, V., Dahl, V., Deco, G., Delipetrev, B., et al.. (2018). As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. Retrieved de https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf

Gupta, A., C, A., Indumathi, P., & Kumar, A.. (2018). Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network. Asian Journal Of Convergence In Technology, 4(1).

Cebreros, A., Heffner-Rodríguez, A., Livas, R., & Puggioni, D.. (2020). Automation Technologies and Employment at Risk : The Case of Mexico. Banco de México.

Haratsis, B., Carmichael, T., Coutney, M., & Fong, J.. (2018). Autonomous vehicles employment impact study. In Australia & New Zealand Driverless Vehicle Initiate. Retrieved de https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf

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