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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A

Dogru, A. K., & Keskin, B. B.. (2020). AI in operations management: applications, challenges and opportunities. Journal Of Data, Information And Management, 2, 67–74. https://doi.org/10.1007/s42488-020-00023-1

Dogru, A. K., & Keskin, B. B.. (2020). AI in operations management: applications, challenges and opportunities. Journal Of Data, Information And Management, 2, 67–74. https://doi.org/10.1007/s42488-020-00023-1

Dogru, A. K., & Keskin, B. B.. (2020). AI in operations management: applications, challenges and opportunities. Journal Of Data, Information And Management, 2, 67–74. https://doi.org/10.1007/s42488-020-00023-1

Köse, U.. (2017). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. In Scientific Methods in Academic Research and Teaching International Conference (184-197).

Köse, U.. (2017). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. In Scientific Methods in Academic Research and Teaching International Conference (184-197).

Weidlich, V., & Weidlich, G. A.. (2018). Artificial Intelligence in Medicine and Radiation Oncology. Cureus. https://doi.org/10.7759/cureus.2475

Jones, L. D., Golan, D., Hanna, S. A., & Ramachandran, M.. (2018). Artificial intelligence, machine learning and the evolution of healthcare A bright future or cause for concern?. British Journal Of Radiology, 7(7), 223-225.

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).

C

Roccetti, M., Delnevo, G., Casini, L., & Salomoni, P.. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6

Acemoglu, D., Lelarge, C., & Restrepo, P.. (2020). Competing with Robots: Firm-Level Evidence from France. Aea Papers And Proceedings, 110, 383–388. https://doi.org/10.1257/pandp.20201003

D

Larsen, K. R., Hovorka, D. S., Dennis, A. R., & West, J. D.. (2018). The discourse approach to boundary identification and corpus construction for theory review articles. Journal Of The Association For Information Systems. Retrieved de https://www.researchgate.net/publication/325215971_Understanding_the_Elephant_The_Discourse_Approach_to_Boundary_Identification_and_Corpus_Construction_for_Theory_Review_Articles

E

Huang, M. Hui, & Rust, R. T.. (2020). Engaged to a Robot? The Role of AI in Service. Journal Of Service Research. https://doi.org/10.1177/1094670520902266

de Ágreda, Á. Gómez. (2020). Ethics of autonomous weapons systems and its applicability to any AI systems. Telecommunications Policy, 5, 101953. https://doi.org/10.1016/j.telpol.2020.101953

Hacker, P., Krestel, R., Grundmann, S., & Naumann, F.. (2020). Explainable AI under contract and tort law: legal incentives and technical challenges. Artificial Intelligence And Law. https://doi.org/10.1007/s10506-020-09260-6

F

Reid-musson, E., Cockayne, D., Frederiksen, L., & Worth, N.. (2020). Feminist economic geography and the future of work. Epa: Economy And Space, 1–12. https://doi.org/10.1177/0308518X20947101

H

Carter, D. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150

Human Interaction With Robot Swarms: A Survey. (2016). Human Interaction With Robot Swarms: A Survey. Transaction On Human-Machine Systems, 46, 9-26.

I

Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719

Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)

Crowston, K., & Bolici, F.. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070

Impacts_of_ML_for_HAI_2020.pdf (453.59 KB)

M

Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A. Eliza, & Codignola, F.. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users' expectations. Technological Forecasting And Social Change, 151, 119794. https://doi.org/10.1016/j.techfore.2019.119794

N

Wagner, D. Nicolas. (2020). The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm. Telecommunications Policy, 44, 101954. https://doi.org/10.1016/j.telpol.2020.101954

O

Ikudo, A., Lane, J., Staudt, J., & Weinberg, B. A.. (2018). Occupational Classifications With A Machine Learning Approach. In IZA DP No. 11738. Retrieved de https://www.iza.org/publications/dp/11738/occupational-classifications-a-machine-learning-approach

T

Theresa, E., Alessandro, B., Michelle, B., Eriksson, T., Bigi, A., Bonera, M., et al.. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The Tqm Journal, ahead-of-p. https://doi.org/10.1108/TQM-12-2019-0303

Theresa, E., Alessandro, B., Michelle, B., Eriksson, T., Bigi, A., Bonera, M., et al.. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The Tqm Journal, ahead-of-p. https://doi.org/10.1108/TQM-12-2019-0303

W

Danaher, J. (2017). Will Life Be Worth Living in a World Without Work? Technological Unemployment and the Meaning of Life. Science And Engineering Ethics, 23. https://doi.org/10.1007s/11948-016-9770-5