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1609.07236
Cited By
On the (im)possibility of fairness
23 September 2016
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
FaML
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Papers citing
"On the (im)possibility of fairness"
21 / 21 papers shown
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
International Conference on Human Factors in Computing Systems (CHI), 2023
R. Varanasi
Nitesh Goyal
271
56
0
14 Jul 2023
The Flawed Foundations of Fair Machine Learning
R. Poe
Soumia Zohra El Mestari
FaML
157
1
0
02 Jun 2023
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
407
35
0
08 Jun 2022
Marrying Fairness and Explainability in Supervised Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Przemyslaw A. Grabowicz
Nicholas Perello
Aarshee Mishra
FaML
271
52
0
06 Apr 2022
Assessing Phenotype Definitions for Algorithmic Fairness
American Medical Informatics Association Annual Symposium (AMIA), 2022
Tony Y. Sun
Shreyas Bhave
Jaan Altosaar
Noémie Elhadad
63
9
0
10 Mar 2022
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Minds and Machines (Minds Mach.), 2021
Jakob Mokander
M. Axente
F. Casolari
Luciano Floridi
318
108
0
09 Nov 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
A. Feder Cooper
Ellen Abrams
FaML
473
69
0
01 Feb 2021
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory
Ai & Society (AS), 2020
Mike Zajko
114
53
0
16 Jul 2020
Teaching Responsible Data Science: Charting New Pedagogical Territory
International Journal of Artificial Intelligence in Education (IJAIED), 2019
Julia Stoyanovich
Armanda Lewis
154
41
0
23 Dec 2019
On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns
FaML
252
358
0
14 Dec 2019
Metric Learning for Individual Fairness
Symposium on Foundations of Responsible Computing (FRC), 2019
Christina Ilvento
FaML
319
101
0
01 Jun 2019
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Jessica Morley
Luciano Floridi
Libby Kinsey
Anat Elhalal
165
67
0
15 May 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson
Margaret Mitchell
AILaw
FaML
318
380
0
25 Nov 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
205
140
0
07 Sep 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
The Web Conference (WWW), 2018
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
128
239
0
26 Feb 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
754
849
0
14 Nov 2017
Avoiding Discrimination through Causal Reasoning
Neural Information Processing Systems (NeurIPS), 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
334
622
0
08 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
257
1,076
0
27 Mar 2017
Quantifying Program Bias
Aws Albarghouthi
Loris Dántoni
Samuel Drews
A. Nori
215
13
0
17 Feb 2017
Fairness in Reinforcement Learning
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
314
218
0
09 Nov 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
628
1,925
0
19 Sep 2016
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