ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.05807
  4. Cited By
Inherent Trade-Offs in the Fair Determination of Risk Scores
v1v2 (latest)

Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
    FaML
ArXiv (abs)PDFHTML

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 747 papers shown
Title
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
Marybeth Defrance
Maarten Buyl
Tijl De Bie
111
3
0
25 Sep 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Anna P. Meyer
Yea-Seul Kim
Aws Albarghouthi
Loris DÁntoni
FaML
61
1
0
18 Sep 2024
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias
  Audits, and Challenges
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
Parameswaran Kamalaruban
Yulu Pi
Stuart Burrell
Eleanor Drage
Piotr Skalski
Jason Wong
David Sutton
54
1
0
06 Sep 2024
Post-processing fairness with minimal changes
Post-processing fairness with minimal changes
Federico Di Gennaro
Thibault Laugel
Vincent Grari
X. Renard
Marcin Detyniecki
70
1
0
27 Aug 2024
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI
  Systems
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
Chih-Cheng Rex Yuan
Bow-Yaw Wang
64
3
0
24 Aug 2024
Uncovering Biases with Reflective Large Language Models
Uncovering Biases with Reflective Large Language Models
Edward Y. Chang
28
0
0
24 Aug 2024
On the KL-Divergence-based Robust Satisficing Model
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan
Minglong Zhou
Jiayi Guo
67
0
0
17 Aug 2024
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on
  Fairness Assumptions
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions
Marco Favier
Zhijun Li
40
0
0
01 Aug 2024
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based
  Undersampling Method for Bias Reduction
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
José Daniel Pascual-Triana
Alberto Fernández
Paulo Novais
Francisco Herrera
47
0
0
19 Jul 2024
The Better Angels of Machine Personality: How Personality Relates to LLM
  Safety
The Better Angels of Machine Personality: How Personality Relates to LLM Safety
Jie Zhang
Dongrui Liu
Chao Qian
Ziyue Gan
Yong Liu
Yu Qiao
Jing Shao
LLMAGPILM
99
12
0
17 Jul 2024
Fair Submodular Cover
Fair Submodular Cover
Wenjing Chen
Shuo Xing
Samson Zhou
Victoria G. Crawford
54
3
0
05 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
101
18
0
01 Jul 2024
Dataset Representativeness and Downstream Task Fairness
Dataset Representativeness and Downstream Task Fairness
Victor A. Borza
Andrew Estornell
Chien-Ju Ho
Bradley Malin
Yevgeniy Vorobeychik
61
0
0
28 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Emmanouil Krasanakis
Symeon Papadopoulos
78
0
0
27 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
74
1
0
22 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Yada Zhu
Hendrik Hamann
Hanghang Tong
FaML
97
7
0
13 Jun 2024
When is Multicalibration Post-Processing Necessary?
When is Multicalibration Post-Processing Necessary?
Dutch Hansen
Siddartha Devic
Preetum Nakkiran
Vatsal Sharan
95
8
0
10 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information
  Decomposition
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
Faisal Hamman
Sanghamitra Dutta
96
3
0
07 Jun 2024
Improving the Fairness of Deep-Learning, Short-term Crime Prediction
  with Under-reporting-aware Models
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
Jiahui Wu
Vanessa Frias-Martinez
61
0
0
06 Jun 2024
On the Power of Randomization in Fair Classification and Representation
On the Power of Randomization in Fair Classification and Representation
Sushant Agarwal
Amit Deshpande
FaML
83
5
0
05 Jun 2024
Can Machine Learning Assist in Diagnosis of Primary Immune
  Thrombocytopenia? A feasibility study
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study
Haroon Miah
Dimitrios Kollias
G. Pedone
D. Provan
Frederick Chen
87
12
0
31 May 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the
  Impossibility of Group Fairness
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
Seamus Somerstep
Yaácov Ritov
Yuekai Sun
FaML
90
5
0
30 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
117
12
0
29 May 2024
Towards Standardizing AI Bias Exploration
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
100
3
0
29 May 2024
The Impossibility of Fair LLMs
The Impossibility of Fair LLMs
Jacy Reese Anthis
Kristian Lum
Michael Ekstrand
Avi Feller
Alexander D’Amour
FaML
130
14
0
28 May 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
81
5
0
27 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective
Fairness-Accuracy Trade-Offs: A Causal Perspective
Drago Plečko
Elias Bareinboim
77
3
0
24 May 2024
Assessing Group Fairness with Social Welfare Optimization
Assessing Group Fairness with Social Welfare Optimization
V. Chen
J. N. Hooker
Derek Leben
57
0
0
19 May 2024
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable
  AI Systems
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
David Dalrymple
Joar Skalse
Yoshua Bengio
Stuart J. Russell
Max Tegmark
...
Clark Barrett
Ding Zhao
Zhi-Xuan Tan
Jeannette Wing
Joshua Tenenbaum
132
62
0
10 May 2024
What Can Natural Language Processing Do for Peer Review?
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov
Osama Mohammed Afzal
Koen Dercksen
Nils Dycke
Alexander Goldberg
...
Jingyan Wang
Xiaodan Zhu
Anna Rogers
Nihar B. Shah
Iryna Gurevych
89
14
0
10 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group
  Fairness Risks
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang
Aaron Roth
Linjun Zhang
FaML
175
9
0
03 May 2024
Individual Fairness Through Reweighting and Tuning
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
78
0
0
02 May 2024
Multigroup Robustness
Multigroup Robustness
Lunjia Hu
Charlotte Peale
Judy Hanwen Shen
OOD
128
1
0
01 May 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases
  in NLP
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
Sanjana Gautam
Mukund Srinath
100
6
0
29 Apr 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
76
4
0
29 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of
  Mathematical Models
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
Sarah Dean
Evan Dong
Meena Jagadeesan
Liu Leqi
82
8
0
18 Apr 2024
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the
  Problem
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
Ryan S. Baker
Nigel Bosch
Stephen Hutt
A. F. Zambrano
Alex J. Bowers
CML
108
0
0
10 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions
Auditing the Use of Language Models to Guide Hiring Decisions
Johann D. Gaebler
Sharad Goel
Aziz Huq
Prasanna Tambe
MLAU
89
12
0
03 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and
  domain generalization with minimax optimality
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OODFaML
109
1
0
02 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models
Addressing Both Statistical and Causal Gender Fairness in NLP Models
Hannah Chen
Yangfeng Ji
David Evans
82
4
0
30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
82
9
0
26 Mar 2024
How to be fair? A study of label and selection bias
How to be fair? A study of label and selection bias
Marco Favier
T. Calders
Sam Pinxteren
Jonathan Meyer
91
9
0
21 Mar 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
233
1
0
13 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
Zachary McBride Lazri
Danial Dervovic
Antigoni Polychroniadou
Ivan Brugere
Dana Dachman-Soled
Min Wu
FaML
106
0
0
12 Mar 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin
Xiao Wang
Andreas Steiner
Priya Goyal
Alexander DÁmour
Xiao-Qi Zhai
84
21
0
07 Mar 2024
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one
  algorithm for all thinking
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
Knud Thomsen
57
0
0
07 Mar 2024
FairBelief -- Assessing Harmful Beliefs in Language Models
FairBelief -- Assessing Harmful Beliefs in Language Models
Mattia Setzu
Marta Marchiori Manerba
Pasquale Minervini
Debora Nozza
62
0
0
27 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
77
50
0
23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
Jessy Xinyi Han
Andrew Miller
S. C. Watkins
Christopher Winship
Fotini Christia
Devavrat Shah
35
1
0
22 Feb 2024
Federated Fairness without Access to Sensitive Groups
Federated Fairness without Access to Sensitive Groups
Afroditi Papadaki
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
Miguel R. D. Rodrigues
FedML
79
2
0
22 Feb 2024
Previous
12345...131415
Next