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Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of
  Demographic Data Collection in the Pursuit of Fairness
v1v2 (latest)

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness

18 April 2022
Mckane Andrus
Sarah Villeneuve
    FaML
ArXiv (abs)PDFHTML

Papers citing "Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness"

15 / 15 papers shown
Title
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Dilermando Queiroz
Anderson Carlos
André Anjos
Lilian Berton
119
0
0
24 Feb 2025
Revisiting Technical Bias Mitigation Strategies
Revisiting Technical Bias Mitigation Strategies
Abdoul Jalil Djiberou Mahamadou
Artem A. Trotsyuk
111
1
0
22 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing
Fairness without Sensitive Attributes via Knowledge Sharing
Hongliang Ni
Lei Han
Tong Chen
S. Sadiq
Gianluca Demartini
108
4
0
27 Sep 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent
  Circumvention
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
Cedric Deslandes Whitney
Justin Norman
74
24
0
03 May 2024
Lazy Data Practices Harm Fairness Research
Lazy Data Practices Harm Fairness Research
Jan Simson
Alessandro Fabris
Christoph Kern
50
8
0
26 Apr 2024
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter
  and What They Represent
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
Jennifer Mickel
60
7
0
10 Apr 2024
Group-blind optimal transport to group parity and its constrained
  variants
Group-blind optimal transport to group parity and its constrained variants
Quan-Gen Zhou
Georgios Korpas
65
3
0
17 Oct 2023
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy
  Risks
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Hao-Ping Lee
Yu-Ju Yang
Thomas Serban Von Davier
Jodi Forlizzi
Sauvik Das
55
62
0
11 Oct 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting
  Classification and Language Models
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models
Emmanuel Klu
Sameer Sethi
69
0
0
07 Sep 2023
A Framework for Designing Fair Ubiquitous Computing Systems
A Framework for Designing Fair Ubiquitous Computing Systems
Han Zhang
Leijie Wang
Yilun Sheng
Xuhai Xu
Jennifer Mankoff
A. Dey
89
9
0
17 Aug 2023
An Operational Perspective to Fairness Interventions: Where and How to
  Intervene
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
54
1
0
03 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
58
6
0
13 Jan 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
102
9
0
15 Dec 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
94
29
0
08 Jun 2022
Measuring Fairness Under Unawareness of Sensitive Attributes: A
  Quantification-Based Approach
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
Alessandro Fabris
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
70
20
0
17 Sep 2021
1