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标题/作者	年份
Machine learning: an applied econometric approach S Mullainathan, J Spiess Journal of Economic Perspectives 31 (2), 87-106	2017
Human decisions and machine predictions J Kleinberg, H Lakkaraju, J Leskovec, J Ludwig, S Mullainathan The quarterly journal of economics 133 (1), 237-293	2018
Legal reasoning and political conflict CR Sunstein Oxford University Press	2018
How to backdoor federated learning E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov International Conference on Artificial Intelligence and Statistics, 2938-2948	2020
The impact of machine learning on economics S Athey The economics of artificial intelligence: An agenda, 507-547	2018
Algorithm appreciation: People prefer algorithmic to human judgment JM Logg, JA Minson, DA Moore Organizational Behavior and Human Decision Processes 151, 90-103	2019
Resistance to medical artificial intelligence C Longoni, A Bonezzi, CK Morewedge Journal of Consumer Research 46 (4), 629-650	2019
Manipulating and measuring model interpretability F Poursabzi-Sangdeh, DG Goldstein, JM Hofman, JW Wortman Vaughan, ... Proceedings of the 2021 CHI conference on human factors in computing systems …	2021
Task-dependent algorithm aversion N Castelo, MW Bos, DR Lehmann Journal of Marketing Research 56 (5), 809-825	2019
Understanding the effect of accuracy on trust in machine learning models M Yin, J Wortman Vaughan, H Wallach Proceedings of the 2019 chi conference on human factors in computing systems …	2019
In AI we trust? Perceptions about automated decision-making by artificial intelligence T Araujo, N Helberger, S Kruikemeier, CH De Vreese AI & SOCIETY 35 (3), 611-623	2020
A systematic review of algorithm aversion in augmented decision making JW Burton, MK Stein, TB Jensen Journal of Behavioral Decision Making 33 (2), 220-239	2020
My friends, editors, algorithms, and I: Examining audience attitudes to news selection N Thurman, J Moeller, N Helberger, D Trilling Digital journalism 7 (4), 447-469	2019
The principles and limits of algorithm-in-the-loop decision making B Green, Y Chen Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-24	2019
Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research. JW Vaughan J. Mach. Learn. Res. 18 (1), 7026-7071	2017
When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions DT Newman, NJ Fast, DJ Harmon Organizational Behavior and Human Decision Processes 160, 149-167	2020
A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores M De-Arteaga, R Fogliato, A Chouldechova Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …	2020
Economics, fairness and algorithmic bias B Cowgill, CE Tucker preparation for: Journal of Economic Perspectives	2019
Psychological reactions to human versus robotic job replacement A Granulo, C Fuchs, S Puntoni Nature human behaviour 3 (10), 1062-1069	2019
“We’re not uber:” control, autonomy, and entrepreneurship in the gig economy AJ Ravenelle Journal of Managerial Psychology	2019

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