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An Algorithmic Framework for Fairness Elicitation

An Algorithmic Framework for Fairness Elicitation

25 May 2019
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Logan Stapleton
Zhiwei Steven Wu
    FedML
    FaML
ArXivPDFHTML

Papers citing "An Algorithmic Framework for Fairness Elicitation"

14 / 14 papers shown
Title
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
26
9
0
15 Dec 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms
  for Neural Networks
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
Kiarash Mohammadi
Aishwarya Sivaraman
G. Farnadi
35
5
0
01 Jun 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback
  from Human Auditors Regarding Black-Box Classifiers
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
MLAU
FaML
20
0
0
16 Feb 2022
Fair Sequential Selection Using Supervised Learning Models
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
36
20
0
26 Oct 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
36
118
0
11 Aug 2021
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce
  Discrimination
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Tao Zhang
Tianqing Zhu
Jing Li
Mengde Han
Wanlei Zhou
Philip S. Yu
FaML
37
49
0
25 Sep 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in
  Artificial Intelligence
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Shakir Mohamed
Marie-Therese Png
William S. Isaac
33
395
0
08 Jul 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
FaML
26
96
0
19 Jun 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork
Christina Ilvento
G. Rothblum
Pragya Sur
FaML
33
5
0
04 Apr 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial
  Robustness
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
Samuel Yeom
Matt Fredrikson
AAML
21
26
0
18 Feb 2020
An Empirical Study on Learning Fairness Metrics for COMPAS Data with
  Human Supervision
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
Hanchen Wang
Nina Grgic-Hlaca
Preethi Lahoti
Krishna P. Gummadi
Adrian Weller
FaML
27
25
0
22 Oct 2019
Avoiding Resentment Via Monotonic Fairness
Avoiding Resentment Via Monotonic Fairness
G. W. Cole
Sinead Williamson
FaML
27
7
0
03 Sep 2019
Operationalizing Individual Fairness with Pairwise Fair Representations
Operationalizing Individual Fairness with Pairwise Fair Representations
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
FaML
38
101
0
02 Jul 2019
Metric Learning for Individual Fairness
Metric Learning for Individual Fairness
Christina Ilvento
FaML
27
96
0
01 Jun 2019
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