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2001.09773
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Algorithmic Fairness from a Non-ideal Perspective
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
8 January 2020
S. Fazelpour
Zachary Chase Lipton
FaML
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Papers citing
"Algorithmic Fairness from a Non-ideal Perspective"
33 / 33 papers shown
Argument-Based Consistency in Toxicity Explanations of LLMs
Ramaravind Kommiya Mothilal
Joanna Roy
Syed Ishtiaque Ahmed
Shion Guha
227
0
0
23 Jun 2025
Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity
Benedikt Höltgen
Nuria Oliver
FaML
305
2
0
22 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms
Gabriel Lima
Nina Grgic-Hlaca
Markus Langer
Yixin Zou
FaML
265
1
0
12 May 2025
Talking About the Assumption in the Room
International Conference on Human Factors in Computing Systems (CHI), 2025
Ramaravind Kommiya Mothilal
Faisal M. Lalani
Syed Ishtiaque Ahmed
Shion Guha
Sharifa Sultana
319
3
0
20 Feb 2025
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
Rosemarie Santa Gonzalez
Ryan Piansky
Sue M Bae
Justin B. Biddle
Daniel K. Molzahn
251
1
0
17 Sep 2024
LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models
Achintya Gopal
Nicholas Wai Long Lau
Eva Adelina Susanto
Chi Lok Yu
Aditya Paul
ELM
335
11
0
27 Jul 2024
Towards a Non-Ideal Methodological Framework for Responsible ML
International Conference on Human Factors in Computing Systems (CHI), 2024
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
412
12
0
20 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
430
7
0
18 Jan 2024
Certification of Distributional Individual Fairness
Neural Information Processing Systems (NeurIPS), 2023
Matthew Wicker
Vihari Piratla
Adrian Weller
182
1
0
20 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding
Thilo Hagendorff
248
9
0
12 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics
Carlos Mougan
Joshua Brand
256
0
0
09 Nov 2023
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck
Jakob Schoeffer
Maria De-Arteaga
Niklas Kühl
644
44
0
15 Oct 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maryam Molamohammadi
Afaf Taik
Nicolas Le Roux
G. Farnadi
266
2
0
11 Jun 2023
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Andrea Aler Tubella
Dimitri Coelho Mollo
Adam Dahlgren Lindstrom
Hannah Devinney
Virginia Dignum
...
Anna Jonsson
T. Kampik
Tom Lenaerts
Julian Alfredo Mendez
J. Nieves
247
14
0
19 Apr 2023
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
Jannik Dunkelau
Manh Khoi Duong
FaML
164
6
0
29 Sep 2022
Mimetic Models: Ethical Implications of AI that Acts Like You
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Reid McIlroy-Young
Jon M. Kleinberg
S. Sen
Solon Barocas
Ashton Anderson
294
26
0
19 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
505
39
0
08 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Zelong Li
FaML
OffRL
562
92
0
26 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Journal of Artificial Intelligence Research (JAIR), 2022
Lindsay Weinberg
FaML
SyDa
157
86
0
06 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Mckane Andrus
Sarah Villeneuve
FaML
311
60
0
18 Apr 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Michael Lohaus
Matthäus Kleindessner
K. Kenthapadi
Francesco Locatello
Chris Russell
263
14
0
09 Apr 2022
Robustness and Usefulness in AI Explanation Methods
Erick Galinkin
FAtt
283
2
0
07 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
173
7
0
06 Mar 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Stephen Pfohl
Yizhe Xu
Agata Foryciarz
Nikolaos Ignatiadis
Julian Z. Genkins
N. Shah
281
38
0
03 Feb 2022
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations
A. Biswas
G. Verma
Justin Otto Barber
SyDa
136
1
0
16 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Brianna Richardson
J. Gilbert
FaML
265
51
0
10 Dec 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail
Sam Bowman
OffRL
404
48
0
15 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
229
135
0
27 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Scientific Reports (Sci Rep), 2021
Stephen Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
377
26
0
27 Aug 2021
Diversity in Sociotechnical Machine Learning Systems
Big Data & Society (BDS), 2021
S. Fazelpour
Maria De-Arteaga
319
43
0
19 Jul 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Weijie Jiang
Z. Pardos
FaML
173
57
0
14 May 2021
Fair Machine Learning Under Partial Compliance
Jessica Dai
S. Fazelpour
Zachary Chase Lipton
308
11
0
07 Nov 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen Pfohl
Agata Foryciarz
N. Shah
FaML
491
145
0
20 Jul 2020
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