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Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research

Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research

1 February 2021
A. Feder Cooper
Ellen Abrams
    FaML
ArXivPDFHTML

Papers citing "Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research"

12 / 12 papers shown
Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
134
0
0
28 Feb 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
Devansh Saxena
Ji-Youn Jung
J. Forlizzi
Kenneth Holstein
J. Zimmerman
71
0
0
25 Feb 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
39
3
0
29 Aug 2024
Bias Testing and Mitigation in LLM-based Code Generation
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang
Qingwen Bu
Jie M. Zhang
Xiaofei Xie
Junjie Chen
Heming Cui
45
20
0
03 Sep 2023
Optimization's Neglected Normative Commitments
Optimization's Neglected Normative Commitments
Benjamin Laufer
T. Gilbert
Helen Nissenbaum
OffRL
21
4
0
27 May 2023
A multidomain relational framework to guide institutional AI research
  and adoption
A multidomain relational framework to guide institutional AI research and adoption
Vince J. Straub
Deborah Morgan
Youmna Hashem
John Francis
Saba Esnaashari
Jonathan Bright
29
8
0
17 Mar 2023
Survey on Fairness Notions and Related Tensions
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
36
25
0
16 Sep 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
32
11
0
10 May 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
24
85
0
10 Feb 2022
Gradual (In)Compatibility of Fairness Criteria
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck
T. Raz
22
12
0
09 Sep 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
243
4,469
0
23 Jan 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
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