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Social Biases in NLP Models as Barriers for Persons with Disabilities

Social Biases in NLP Models as Barriers for Persons with Disabilities

2 May 2020
Ben Hutchinson
Vinodkumar Prabhakaran
Emily L. Denton
Kellie Webster
Yu Zhong
Stephen Denuyl
ArXivPDFHTML

Papers citing "Social Biases in NLP Models as Barriers for Persons with Disabilities"

50 / 163 papers shown
Title
Mind Your Bias: A Critical Review of Bias Detection Methods for
  Contextual Language Models
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
Silke Husse
Andreas Spitz
28
6
0
15 Nov 2022
User or Labor: An Interaction Framework for Human-Machine Relationships
  in NLP
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP
Ruyuan Wan
Naome A. Etori
Karla A. Badillo-Urquiola
Dongyeop Kang
11
8
0
03 Nov 2022
Social Biases in Automatic Evaluation Metrics for NLG
Social Biases in Automatic Evaluation Metrics for NLG
Mingqi Gao
Xiaojun Wan
33
3
0
17 Oct 2022
A Keyword Based Approach to Understanding the Overpenalization of
  Marginalized Groups by English Marginal Abuse Models on Twitter
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
Kyra Yee
Alice Schoenauer Sebag
Olivia Redfield
Emily Sheng
Matthias Eck
Luca Belli
28
2
0
07 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
A Human Rights-Based Approach to Responsible AI
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran
Margaret Mitchell
Timnit Gebru
Iason Gabriel
51
36
0
06 Oct 2022
Re-contextualizing Fairness in NLP: The Case of India
Re-contextualizing Fairness in NLP: The Case of India
Shaily Bhatt
Sunipa Dev
Partha P. Talukdar
Shachi Dave
Vinodkumar Prabhakaran
32
54
0
25 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
234
449
0
23 Aug 2022
Interacting with next-phrase suggestions: How suggestion systems aid and
  influence the cognitive processes of writing
Interacting with next-phrase suggestions: How suggestion systems aid and influence the cognitive processes of writing
Advait Bhat
Saaket Agashe
Niharika Mohile
Parth Oberoi
R. Jangir
Anirudha N. Joshi
36
37
0
01 Aug 2022
Toward Fairness in Speech Recognition: Discovery and mitigation of
  performance disparities
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities
Pranav Dheram
Murugesan Ramakrishnan
A. Raju
I-Fan Chen
Brian King
Katherine L. Powell
Melissa Saboowala
Karan Shetty
A. Stolcke
33
33
0
22 Jul 2022
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Rie Kamikubo
Lining Wang
Crystal Marte
Amnah Mahmood
Hernisa Kacorri
38
18
0
16 Jul 2022
Flexible text generation for counterfactual fairness probing
Flexible text generation for counterfactual fairness probing
Zee Fryer
Vera Axelrod
Ben Packer
Alex Beutel
Jilin Chen
Kellie Webster
26
19
0
28 Jun 2022
Using BERT Embeddings to Model Word Importance in Conversational
  Transcripts for Deaf and Hard of Hearing Users
Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users
Akhter Al Amin
Saad Hassan
Cecilia Ovesdotter Alm
Matt Huenerfauth
13
5
0
24 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
Abdulaziz A. Almuzaini
C. Bhatt
David M. Pennock
V. Singh
FaML
30
10
0
14 Jun 2022
Challenges in Measuring Bias via Open-Ended Language Generation
Challenges in Measuring Bias via Open-Ended Language Generation
Afra Feyza Akyürek
Muhammed Yusuf Kocyigit
Sejin Paik
Derry Wijaya
43
22
0
23 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
51
14
0
23 May 2022
How to keep text private? A systematic review of deep learning methods
  for privacy-preserving natural language processing
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa
Roman Kern
PILM
AILaw
28
40
0
20 May 2022
Richer Countries and Richer Representations
Richer Countries and Richer Representations
Kaitlyn Zhou
Kawin Ethayarajh
Dan Jurafsky
46
9
0
10 May 2022
Behind the Mask: Demographic bias in name detection for PII masking
Behind the Mask: Demographic bias in name detection for PII masking
Courtney Mansfield
Amandalynne Paullada
Kristen Howell
16
10
0
09 May 2022
Data Governance in the Age of Large-Scale Data-Driven Language
  Technology
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Yacine Jernite
Huu Nguyen
Stella Biderman
A. Rogers
Maraim Masoud
...
Jorg Frohberg
Aaron Gokaslan
Peter Henderson
Rishi Bommasani
Margaret Mitchell
26
52
0
04 May 2022
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained
  Language Models with Prompts
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Apoorv Garg
Deval Srivastava
Zhiyang Xu
Lifu Huang
16
5
0
15 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
148
6,035
0
05 Apr 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language
  Models
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
Masashi Takeshita
Rafal Rzepka
K. Araki
34
6
0
10 Mar 2022
A study on the distribution of social biases in self-supervised learning
  visual models
A study on the distribution of social biases in self-supervised learning visual models
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
22
18
0
03 Mar 2022
Counterfactual Multi-Token Fairness in Text Classification
Counterfactual Multi-Token Fairness in Text Classification
P. Lohia
24
3
0
08 Feb 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
50
1,561
0
20 Jan 2022
Unintended Bias in Language Model-driven Conversational Recommendation
Unintended Bias in Language Model-driven Conversational Recommendation
Tianshu Shen
Jiaru Li
Mohamed Reda Bouadjenek
Zheda Mai
Scott Sanner
17
7
0
17 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du
Yanping Huang
Andrew M. Dai
Simon Tong
Dmitry Lepikhin
...
Kun Zhang
Quoc V. Le
Yonghui Wu
Zhehuai Chen
Claire Cui
ALM
MoE
72
772
0
13 Dec 2021
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
30
292
0
26 Nov 2021
Identification of Bias Against People with Disabilities in Sentiment
  Analysis and Toxicity Detection Models
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
Pranav Narayanan Venkit
Shomir Wilson
22
25
0
25 Nov 2021
NxMTransformer: Semi-Structured Sparsification for Natural Language
  Understanding via ADMM
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes
Minjia Zhang
Yuxiong He
Bo Wu
37
18
0
28 Oct 2021
A Framework for Deprecating Datasets: Standardizing Documentation,
  Identification, and Communication
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
A. Luccioni
Frances Corry
H. Sridharan
Mike Ananny
J. Schultz
Kate Crawford
57
29
0
18 Oct 2021
Dealing with Disagreements: Looking Beyond the Majority Vote in
  Subjective Annotations
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Aida Mostafazadeh Davani
Mark Díaz
Vinodkumar Prabhakaran
11
306
0
12 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in
  NLP Systems through an Intersectional Lens
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan
Matt Huenerfauth
Cecilia Ovesdotter Alm
51
38
0
01 Oct 2021
Datasets: A Community Library for Natural Language Processing
Datasets: A Community Library for Natural Language Processing
Quentin Lhoest
Albert Villanova del Moral
Yacine Jernite
A. Thakur
Patrick von Platen
...
Thibault Goehringer
Victor Mustar
François Lagunas
Alexander M. Rush
Thomas Wolf
30
583
0
07 Sep 2021
Can the Transformer Be Used as a Drop-in Replacement for RNNs in
  Text-Generating GANs?
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?
Kevin Blin
Andrei Kucharavy
21
2
0
26 Aug 2021
On Measures of Biases and Harms in NLP
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
31
80
0
07 Aug 2021
Your fairness may vary: Pretrained language model fairness in toxic text
  classification
Your fairness may vary: Pretrained language model fairness in toxic text classification
Ioana Baldini
Dennis L. Wei
Karthikeyan N. Ramamurthy
Mikhail Yurochkin
Moninder Singh
26
53
0
03 Aug 2021
Opinion Prediction with User Fingerprinting
Opinion Prediction with User Fingerprinting
Kishore Tumarada
Yifan Zhang
Fan Yang
Eduard Constantin Dragut
O. Gnawali
Arjun Mukherjee
8
4
0
31 Jul 2021
Independent Ethical Assessment of Text Classification Models: A Hate
  Speech Detection Case Study
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study
Amitoj Singh
Jingshu Chen
Lihao Zhang
A. Rasekh
Ilana Golbin
Anand Srinivasa Rao
20
1
0
19 Jul 2021
How Could Equality and Data Protection Law Shape AI Fairness for People
  with Disabilities?
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
Reuben Binns
Reuben Kirkham
29
14
0
12 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
21
104
0
28 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
42
122
0
21 Jun 2021
Does Robustness Improve Fairness? Approaching Fairness with Word
  Substitution Robustness Methods for Text Classification
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Yada Pruksachatkun
Satyapriya Krishna
Jwala Dhamala
Rahul Gupta
Kai-Wei Chang
22
32
0
21 Jun 2021
A Dataset and Baselines for Multilingual Reply Suggestion
A Dataset and Baselines for Multilingual Reply Suggestion
Mozhi Zhang
Wei Wang
Budhaditya Deb
Guoqing Zheng
Milad Shokouhi
Ahmed Hassan Awadallah
LRM
17
8
0
03 Jun 2021
Changing the World by Changing the Data
Changing the World by Changing the Data
Anna Rogers
24
71
0
28 May 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
MU
31
359
0
07 May 2021
What's in the Box? A Preliminary Analysis of Undesirable Content in the
  Common Crawl Corpus
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
A. Luccioni
J. Viviano
35
114
0
06 May 2021
Reliability Testing for Natural Language Processing Systems
Reliability Testing for Natural Language Processing Systems
Samson Tan
Chenyu You
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
22
38
0
06 May 2021
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