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Fairness Certification for Natural Language Processing and Large
  Language Models

Fairness Certification for Natural Language Processing and Large Language Models

2 January 2024
Vincent Freiberger
Erik Buchmann
ArXivPDFHTML

Papers citing "Fairness Certification for Natural Language Processing and Large Language Models"

5 / 5 papers shown
Title
Shh, don't say that! Domain Certification in LLMs
Shh, don't say that! Domain Certification in LLMs
Cornelius Emde
Alasdair Paren
Preetham Arvind
Maxime Kayser
Tom Rainforth
Thomas Lukasiewicz
Bernard Ghanem
Philip H. S. Torr
Adel Bibi
45
1
0
26 Feb 2025
How Different Groups Prioritize Ethical Values for Responsible AI
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch
Zana Buçinca
Saleema Amershi
Alexandra Olteanu
37
94
0
16 May 2022
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
36
38
0
01 Oct 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,143
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
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