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On the Interplay between Fairness and Explainability
v1v2 (latest)

On the Interplay between Fairness and Explainability

25 October 2023
Stephanie Brandl
Emanuele Bugliarello
Ilias Chalkidis
    FaML
ArXiv (abs)PDFHTML

Papers citing "On the Interplay between Fairness and Explainability"

22 / 22 papers shown
Title
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Mohammad Saleha
Azadeh Tabatabaeib
137
0
0
14 Apr 2025
Challenges in Applying Explainability Methods to Improve the Fairness of
  NLP Models
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
Esma Balkir
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
85
37
0
08 Jun 2022
Evaluating Deep Taylor Decomposition for Reliability Assessment in the
  Wild
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
Stephanie Brandl
Daniel Hershcovich
Anders Søgaard
38
2
0
03 May 2022
Improved Multi-label Classification under Temporal Concept Drift:
  Rethinking Group-Robust Algorithms in a Label-Wise Setting
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting
Ilias Chalkidis
Anders Søgaard
OODAI4TS
92
29
0
15 Mar 2022
Understanding Interlocking Dynamics of Cooperative Rationalization
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
84
43
0
26 Oct 2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis
Abhik Jana
D. Hartung
M. Bommarito
Ion Androutsopoulos
Daniel Martin Katz
Nikolaos Aletras
AILawELM
269
267
0
03 Oct 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew
Punyajoy Saha
Seid Muhie Yimam
Chris Biemann
Pawan Goyal
Animesh Mukherjee
125
581
0
18 Dec 2020
Gradient Starvation: A Learning Proclivity in Neural Networks
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
141
269
0
18 Nov 2020
Domain-Specific Language Model Pretraining for Biomedical Natural
  Language Processing
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu
Robert Tinn
Hao Cheng
Michael R. Lucas
Naoto Usuyama
Xiaodong Liu
Tristan Naumann
Jianfeng Gao
Hoifung Poon
LM&MAAI4CE
134
1,785
0
31 Jul 2020
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
171
803
0
02 May 2020
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
134
600
0
07 Apr 2020
A Game Theoretic Approach to Class-wise Selective Rationalization
A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
58
61
0
28 Oct 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Eric Wallace
Jens Tuyls
Junlin Wang
Sanjay Subramanian
Matt Gardner
Sameer Singh
MILM
79
138
0
19 Sep 2019
It's All in the Name: Mitigating Gender Bias with Name-Based
  Counterfactual Data Substitution
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
Rowan Hall Maudslay
Hila Gonen
Ryan Cotterell
Simone Teufel
64
172
0
02 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
703
24,572
0
26 Jul 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
122
1,149
0
23 May 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a
  High-Stakes Setting
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
202
464
0
27 Jan 2019
Empirical Risk Minimization under Fairness Constraints
Empirical Risk Minimization under Fairness Constraints
Michele Donini
L. Oneto
Shai Ben-David
John Shawe-Taylor
Massimiliano Pontil
FaML
82
445
0
23 Feb 2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions
  from LSTMs
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch
Peter J. Liu
Bin Yu
93
210
0
16 Jan 2018
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
362
204
0
06 Jul 2017
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
589
27,345
0
01 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
403
3,158
0
15 Aug 2013
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