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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

Connected and Autonomous Vehicles in Society: An Agenda for Social and Policy Research , Report , MSU Workshop on Autonomous Vehicles in Society
HCOMP Workshop Report: Work in the Age of Intelligent Machines , Report , Jeffrey V. Nickerson, Matthew Lease
PDW: Work in the Age of Intelligent Machines: Towards Disciplinary Convergence , Report , Kevin Crowston, Mary-Beth Watson-Manheim, Ingrid Erickson, Jeffrey V. Nickerson

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D

Domingos, P. (2012). A few useful things to know about machine learning. Communications Of The Acm, 55(10), 78. https://doi.org/:10.1145/2347736.2347755

Dhar, V. (2016). The Future of Artificial Intelligence. Big Data, 4(1), 5 - 9. https://doi.org/10.1089/big.2016.29004.vda

Dellermann, D., Calma, A., Lipusch, N., Weber, T., Weigel, S., & Ebel, P.. (2019). The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems. In Hawaii International Conference on System Sciences (HICSS). Presented at the Hawaii International Conference on System Sciences (HICSS). Retrieved de https://www.alexandria.unisg.ch/publications/254994

del Sol, P. Egana, Joyce, C., Del Sol, P. Egaña, & Joyce, C.. (2020). The Future of Work in Developing Economies. Mit Sloan Management Review, 61, 1–3.

Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018

HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)

C

Chui, M., Manyika, J., & Miremadi, M.. (2015). Four fundamentals of workplace automation. Mckinsey Quarterly, 1–9.

Casola, L. (2017). The Frontiers of MACHINE LEARNING. Retrieved de https://www.nap.edu/read/25021/chapter/5

B

Budhan, C., Carlton, A., & O'Donnel, E.. (2014). Four scenarios exploring the future of youth employment. In Institute for the future. Retrieved de https://assets.rockefellerfoundation.org/app/uploads/20141201215005/FutureofYouthEmployment.pdf

Borjas, G., & Freeman, R.. (2019). From immigrants to robots: The changing locus of substitutes for workers. https://doi.org/10.3386/w25438

Beck-Dudley, C. L. (2018). The future of work, business education, and the role of AACSB. Journal Of Legal Studies Education, 35(1), 165 - 170. https://doi.org/10.1111/jlse.2018.35.issue-110.1111/jlse.12073

A

Abeliansky, A., Algur, E., Bloom, D. E., & Prettner, K.. (2020). The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation. Iza Discussion Paper Series. Retrieved de www.iza.org

Abeliansky, A. L., Algur, E., Bloom, D. E., & Prettner, K.. (2020). The Future of Work: Meeting the Global Challenge of Demographic Change and Automation. International Labour Review, 1–28. https://doi.org/10.1111/ilr.12168

Abdou, S., & Kamal, N. Nustafa. (2018). Future of artificial intelligence: Japan’s path to growth. American Journal Of Modern Physics And Application, 5, 48-52. Retrieved de https://www.researchgate.net/publication/326625497_Future_of_Artificial_Intelligence_Japan's_Path_to_Growth_Email_address

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