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Dyuti Pandya European Centre for International Political Economy
Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington

Recent publications

Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users , Gudela Grote; Sharon Parker; Kevin Crowston
Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy , Carsten Østerlund; Kevin Crowston; Corey B. Jackson; Yunan Wu; Alexander O. Smith; Aggelos K. Katsaggelos
Deskilling and upskilling with generative AI systems , Kevin Crowston; Francesco Bolici
The task matters: The effect of perceived similarity to AI on intention to use in different task types , Qingyu Liang; Kevin Crowston; Sangseok You
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

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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2019

Agrawal, A., Gans, J., & Goldfarb, A.. (2019). The ambiguous labor market impact of automating prediction. https://doi.org/10.3386/w25619

Goldfarb, A., & Tucker, C.. (2019). Digital Economics. Journal Of Economic Literature, 57(1), 3 - 43. https://doi.org/10.1257/jel.20171452

Agrawal, A., Gans, J., & Goldfarb, A.. (2019). How artificial intelligence and machine learning can impact market design (pp. 567 - 586). In (pp. 567 - 586). https://doi.org/10.7208/chicago/9780226613475.003.0023

2018

Agrawal, A., Gans, J., & Goldfarb, A.. (2018). Economic policy for Artificial Intelligence. https://doi.org/10.3386/w24690