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Human-Algorithm Collaboration: Achieving Complementarity and Avoiding
  Unfairness

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

17 February 2022
Kate Donahue
Alexandra Chouldechova
K. Kenthapadi
    FaML
    FedML
ArXivPDFHTML

Papers citing "Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness"

5 / 5 papers shown
Title
Learning To Guide Human Decision Makers With Vision-Language Models
Learning To Guide Human Decision Makers With Vision-Language Models
Debodeep Banerjee
Stefano Teso
Burcu Sayin
Andrea Passerini
32
1
0
25 Mar 2024
When Are Two Lists Better than One?: Benefits and Harms in Joint
  Decision-making
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
Kate Donahue
Sreenivas Gollapudi
Kostas Kollias
18
3
0
22 Aug 2023
Decision-aid or Controller? Steering Human Decision Makers with
  Algorithms
Decision-aid or Controller? Steering Human Decision Makers with Algorithms
Ruqing Xu
Sarah Dean
14
1
0
23 Mar 2023
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI
  Interactions
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Kailas Vodrahalli
Roxana Daneshjou
Tobias Gerstenberg
James Y. Zou
34
68
0
14 Jul 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
1