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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

Work in The Age Of AI, Robots, and Algorithms , Syllabus , Diane Bailey
Comm493: Analytics and Artificial Intelligence for Business , Syllabus , Tracy Jenkin

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2018

Caleb-Solly, P., Dogramadzi, S., Huijnen, C. A. G. J., & van den Heuvel, H.. (2018). Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. The Information Society, 34(3), 153 - 165. https://doi.org/10.1080/01972243.2018.1444255

Paikari, E., & van der Hoek, A.. (2018). A framework for understanding chatbots and their future (H. Sharp, de Souza, C. R. B., Graziotin, D., Levy, M., & Socha, D., Trans.). In the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE '18 (13 - 16). https://doi.org/10.1145/3195836.3195859

Novak, V., & Dizdarevic, D.. (2018). The future of work in the light of technological change. UDC: 005.32:005.95/.96. Retrieved de http://media3.novi.economicsandlaw.org/2017/07/Vol23/IJEAL-23-09.pdf

Mendling, J., Decker, G., Hull, R., Reijers, H. A., & Weber, I.. (2018). How do machine learning, robotic process automation, and blockchains affect the human factor in business process management?. Communications Of The Association For Information Systems, 297 - 320. https://doi.org/10.17705/1CAIS.04319

Schwarzmüller, T., Brosi, P., Duman, D., & Welpe, I. M.. (2018). How does the digital transformation affect organizations? Key themes of change in work design and leadership. Management Revu, 29(2), 114 - 138. https://doi.org/10.5771/0935-9915-2018-2-114

J. Munoz, P., Boger, R., Dexter, S., Low, R., & Li, J.. (2018). Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.00010.24251/HICSS.2018.359

Avati, A., Jung, K., Harman, S., Downing, L., Ng, A., & Shah, N. H.. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8

Nascimento, A. Moreira, da Cunha, M. Alexandra, Meirelles, Fde Souza, Scornavacca, E., & de Melo, V. Veloso. (2018). A literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). In Americas Conference on Information Systems.

Nascimento, A. Moreira, da Cunha, M. Alexandra, Meirelles, Fde Souza, Scornavacca, E., & de Melo, V. Veloso. (2018). A literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). In Americas Conference on Information Systems.

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G. - J., de Vreede, T., Druckenmiller, D., et al.. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055

SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB)

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G. - J., de Vreede, T., Druckenmiller, D., et al.. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055

SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB)

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G. - J., de Vreede, T., Druckenmiller, D., et al.. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055

SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB)

Beller, E., Clark, J., Tsafnat, G., Adams, C., Diehl, H., Lund, H., et al.. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, (77). https://doi.org/10.1186/s13643-018-0740-7

Beller, E., Clark, J., Tsafnat, G., Adams, C., Diehl, H., Lund, H., et al.. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7

Dølvik, J. Erik, & Steen, J. Røed. (2018). The nordic future of work drivers, institutions, and politics. In The future of work: opportunities and challenges for the nordic models. Retrieved de https://norden.diva-portal.org/smash/get/diva2:1265618/FULLTEXT01.pdf

Dimitriou, N., Arandjelović, O., Harrison, D. J., & Caie, P. D.. (2018). A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. Npj Digital Medicine, 1(1). https://doi.org/10.1038/s41746-018-0057-x

Aroyo, L., Dumitrache, A., Nickerson, J. V., Lease, M., & Michelucci, P.. (2018). Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing. Ai Magazine, 39, 57–63.

Diamond, A. M. (2018). Robots and computers enhance us more than they replace us. The American Economist, 056943451879267. https://doi.org/10.1177/0569434518792674

Bughin, J., Hazan, E., Lund, S., Dahlstrom, P., Wiesinger, A., & Subramaniam, A.. (2018). Skill shift automation and the future of the workforce. In McKinsey Global Institute. Retrieved de https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce

Xu, P., Dherbomez, G., Hery, E., Abidli, A., & Bonnifait, P.. (2018). System architecture of a driverless electric car in the grand cooperative driving challenge. Ieee Intelligent Transportation Systems Magazine, 10(1), 47 - 59. https://doi.org/10.1109/MITS.2017.2776135

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O.. (2018). When Will AI Exceed Human Performance? Evidence from AI Experts. Retrieved de https://jair.org/index.php/jair/article/download/11222/26431/

2017

Deshmukh, A. V., A.McComb, S., & Wernz, C.. (2017). Agents as collaborating team members. Retrieved de https://www.taylorfrancis.com/books/e/9781315593166/chapters/10.1201/9781315593166-7

Hager, G. D., Drobnis, A., Fang, F., Ghani, R., Greenwald, A., Lyons, T., et al.. (2017). Artificial Intelligence For Social Good. Retrieved de https://cra.org/ccc/wp-content/uploads/sites/2/2016/04/AI-for-Social-Good-Workshop-Report.pdf

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., et al.. (2017). Artificial intelligence in healthcare: past, present and future. Stroke And Vascular Neurology, 2(4), 230 - 243. https://doi.org/10.1136/svn-2017-000101

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., et al.. (2017). Artificial intelligence in healthcare: past, present and future. Stroke And Vascular Neurology, 2(4), 230 - 243. https://doi.org/10.1136/svn-2017-000101

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