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A Survey on Bias and Fairness in Machine Learning

A Survey on Bias and Fairness in Machine Learning

23 August 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
    SyDa
    FaML
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Papers citing "A Survey on Bias and Fairness in Machine Learning"

50 / 1,613 papers shown
Title
PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical
  Research
PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research
R. J. Cotton
3DH
19
15
0
16 Mar 2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity
Measuring Fairness of Text Classifiers via Prediction Sensitivity
Satyapriya Krishna
Rahul Gupta
Apurv Verma
Jwala Dhamala
Yada Pruksachatkun
Kai-Wei Chang
16
6
0
16 Mar 2022
Adversarial Learned Fair Representations using Dampening and Stacking
Adversarial Learned Fair Representations using Dampening and Stacking
M. Knobbout
FaML
8
1
0
16 Mar 2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification
A Deep Dive into Dataset Imbalance and Bias in Face Identification
Valeriia Cherepanova
Steven Reich
Samuel Dooley
Hossein Souri
Micah Goldblum
Tom Goldstein
13
9
0
15 Mar 2022
The Ghost in the Machine has an American accent: value conflict in GPT-3
The Ghost in the Machine has an American accent: value conflict in GPT-3
Rebecca Lynn Johnson
Giada Pistilli
Natalia Menédez-González
Leslye Denisse Dias Duran
Enrico Panai
Julija Kalpokienė
D. Bertulfo
30
83
0
15 Mar 2022
Distraction is All You Need for Fairness
Distraction is All You Need for Fairness
Mehdi Yazdani-Jahromi
Amirarsalan Rajabi
Ali Khodabandeh Yalabadi
Aida Tayebi
O. Garibay
13
2
0
15 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text
  Processing
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Ilias Chalkidis
Tommaso Pasini
Shenmin Zhang
Letizia Tomada
Sebastian Felix Schwemer
Anders Søgaard
AILaw
40
54
0
14 Mar 2022
Fairness Evaluation in Deepfake Detection Models using Metamorphic
  Testing
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing
Muxin Pu
Meng Yi Kuan
Nyee Thoang Lim
Chun Yong Chong
Mei Kuan Lim
36
18
0
14 Mar 2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer
  Learning Model
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model
Beatrice Nobile
G. Santin
Bruno Lepri
P. Brutti
SyDa
16
1
0
11 Mar 2022
Evaluating Proposed Fairness Models for Face Recognition Algorithms
Evaluating Proposed Fairness Models for Face Recognition Algorithms
John J. Howard
Eli J. Laird
Yevgeniy B. Sirotin
Rebecca E. Rubin
Jerry L. Tipton
A. Vemury
CVBM
19
22
0
09 Mar 2022
Data Representativity for Machine Learning and AI Systems
Data Representativity for Machine Learning and AI Systems
Line H. Clemmensen
R. Kjærsgaard
28
19
0
09 Mar 2022
Towards a Roadmap on Software Engineering for Responsible AI
Towards a Roadmap on Software Engineering for Responsible AI
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
Zhenchang Xing
31
53
0
09 Mar 2022
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible
  AI Systems
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
AI4TS
19
19
0
02 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy
System Cards for AI-Based Decision-Making for Public Policy
Furkan Gursoy
I. Kakadiaris
MLAU
29
14
0
01 Mar 2022
Explainability for identification of vulnerable groups in machine learning models
Inga Strümke
Marija Slavkovik
FaML
33
3
0
01 Mar 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest
  Recommendation
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
Hossein A. Rahmani
Yashar Deldjoo
Ali Tourani
Mohammadmehdi Naghiaei
FaML
32
22
0
27 Feb 2022
Testing Granger Non-Causality in Panels with Cross-Sectional
  Dependencies
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
Lenon Minorics
Ali Caner Türkmen
D. Kernert
Patrick Bloebaum
Laurent Callot
Dominik Janzing
16
1
0
23 Feb 2022
Improving fairness in speaker verification via Group-adapted Fusion
  Network
Improving fairness in speaker verification via Group-adapted Fusion Network
Hua Shen
Yuguang Yang
G. Sun
Ryan Langman
Eunjung Han
J. Droppo
A. Stolcke
30
15
0
23 Feb 2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for
  Edge Devices
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Yi Sheng
Junhuan Yang
Yawen Wu
Kevin Mao
Yiyu Shi
Jingtong Hu
Weiwen Jiang
Lei Yang
70
28
0
23 Feb 2022
Learning Neural Networks under Input-Output Specifications
Learning Neural Networks under Input-Output Specifications
Z. Abdeen
He Yin
V. Kekatos
Ming Jin
21
8
0
23 Feb 2022
Speciesist bias in AI -- How AI applications perpetuate discrimination
  and unfair outcomes against animals
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals
Thilo Hagendorff
L. Bossert
Yip Fai Tse
P. Singer
FaML
28
40
0
22 Feb 2022
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng
Besmira Nushi
Emre Kıcıman
K. Inkpen
Ece Kamar
16
29
0
21 Feb 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
Bias and unfairness in machine learning models: a systematic literature
  review
Bias and unfairness in machine learning models: a systematic literature review
T. P. Pagano
R. B. Loureiro
F. V. N. Lisboa
G. O. R. Cruz
R. M. Peixoto
...
Maira M. Araujo
Marco A. S. Cruz
Ewerton L. S. Oliveira
Ingrid Winkler
E. G. S. Nascimento
FaML
36
21
0
16 Feb 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous
  Devices
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu
Fangzhao Wu
Chuhan Wu
Yanlin Wang
Lingjuan Lyu
Hong Chen
Xing Xie
FedML
19
70
0
16 Feb 2022
Trustworthy Anomaly Detection: A Survey
Trustworthy Anomaly Detection: A Survey
Shuhan Yuan
Xintao Wu
FaML
18
8
0
15 Feb 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better
Predicting on the Edge: Identifying Where a Larger Model Does Better
Taman Narayan
Heinrich Jiang
Sen Zhao
Surinder Kumar
31
7
0
15 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and
  Mitigate Inequality
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality
Yan Lyu
Hangxin Lu
Min Kyung Lee
G. Schmitt
Brian Y. Lim
31
9
0
15 Feb 2022
REPID: Regional Effect Plots with implicit Interaction Detection
REPID: Regional Effect Plots with implicit Interaction Detection
J. Herbinger
Bernd Bischl
Giuseppe Casalicchio
FAtt
21
15
0
15 Feb 2022
Designing Closed Human-in-the-loop Deferral Pipelines
Designing Closed Human-in-the-loop Deferral Pipelines
Vijay Keswani
Matthew Lease
K. Kenthapadi
OffRL
16
10
0
09 Feb 2022
Regulatory Instruments for Fair Personalized Pricing
Regulatory Instruments for Fair Personalized Pricing
Renzhe Xu
Xingxuan Zhang
Pengbi Cui
Yangqiu Song
Zheyan Shen
Jiazheng Xu
11
15
0
09 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Xia Hu
24
48
0
08 Feb 2022
Generative multitask learning mitigates target-causing confounding
Generative multitask learning mitigates target-causing confounding
Taro Makino
Krzysztof J. Geras
Kyunghyun Cho
OOD
27
6
0
08 Feb 2022
Optimal Transport of Classifiers to Fairness
Optimal Transport of Classifiers to Fairness
Maarten Buyl
T. D. Bie
FaML
13
10
0
08 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency
SLIDE: a surrogate fairness constraint to ensure fairness consistency
Kunwoong Kim
Ilsang Ohn
Sara Kim
Yongdai Kim
35
4
0
07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors
Fair Interpretable Representation Learning with Correction Vectors
Mattia Cerrato
A. Coronel
Marius Köppel
A. Segner
Roberto Esposito
Stefan Kramer
FaML
14
5
0
07 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu
Toan M. Tran
Man-Chung Yue
Viet Anh Nguyen
27
14
0
07 Feb 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning
  Models
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon
Michelle S. Lam
J. Park
Kayur Patel
Jeffrey T. Hancock
Tatsunori Hashimoto
Michael S. Bernstein
27
146
0
07 Feb 2022
Learning fair representation with a parametric integral probability
  metric
Learning fair representation with a parametric integral probability metric
Dongha Kim
Kunwoong Kim
Insung Kong
Ilsang Ohn
Yongdai Kim
FaML
25
16
0
07 Feb 2022
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using
  Large Transformer Language Models
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
Philip G. Feldman
Aaron Dant
D. Rosenbluth
AI4CE
14
1
0
05 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes
Vasisht Duddu
A. Boutet
26
10
0
04 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with
  Distributional Inequality Metrics
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
Tomo Lazovich
Luca Belli
Aaron Gonzales
Amanda Bower
U. Tantipongpipat
K. Lum
Ferenc Huszár
Rumman Chowdhury
20
17
0
03 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim M. Alabdulmohsin
Eva Schnider
...
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
OOD
60
53
0
02 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in
  Regression Machine Learning Problems
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
Mostafa M. Mohamed
Björn W. Schuller
19
5
0
02 Feb 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Peizhao Li
Hongfu Liu
TDI
39
47
0
01 Feb 2022
ColloSSL: Collaborative Self-Supervised Learning for Human Activity
  Recognition
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain
Chi Ian Tang
Chulhong Min
F. Kawsar
Akhil Mathur
SSL
26
53
0
01 Feb 2022
Learning Fair Representations via Rate-Distortion Maximization
Learning Fair Representations via Rate-Distortion Maximization
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
FaML
8
14
0
31 Jan 2022
Fair Wrapping for Black-box Predictions
Fair Wrapping for Black-box Predictions
Alexander Soen
Ibrahim M. Alabdulmohsin
Sanmi Koyejo
Yishay Mansour
Nyalleng Moorosi
Richard Nock
Ke Sun
Lexing Xie
FaML
51
6
0
31 Jan 2022
Fair ranking: a critical review, challenges, and future directions
Fair ranking: a critical review, challenges, and future directions
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
26
51
0
29 Jan 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
Laurens van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
104
71
0
27 Jan 2022
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