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Does AI help humans make better decisions? A methodological framework for experimental evaluation

Does AI help humans make better decisions? A methodological framework for experimental evaluation

Eli Ben-Michael
D. J. Greiner
Melody Huang
Kosuke Imai
Zhichao Jiang
Sooahn Shin
ArXiv (abs)PDFHTML

Papers citing "Does AI help humans make better decisions? A methodological framework for experimental evaluation"

5 / 5 papers shown
Title
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Luke M. Guerdan
Amanda Coston
Zhiwei Steven Wu
Kenneth Holstein
CML
53
29
0
13 Feb 2023
Policy Learning with Asymmetric Counterfactual Utilities
Policy Learning with Asymmetric Counterfactual Utilities
Eli Ben-Michael
Kosuke Imai
Zhichao Jiang
OffRL
53
16
0
21 Jun 2022
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Amanda Coston
Ashesh Rambachan
Alexandra Chouldechova
FaML
93
85
0
02 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
296
497
0
31 Dec 2020
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions
Reuben Binns
Max Van Kleek
Michael Veale
Ulrik Lyngs
Jun Zhao
N. Shadbolt
FaML
56
542
0
31 Jan 2018

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