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Auditing the Use of Language Models to Guide Hiring Decisions

Auditing the Use of Language Models to Guide Hiring Decisions

3 April 2024
Johann D. Gaebler
Sharad Goel
Aziz Huq
Prasanna Tambe
    MLAU
ArXivPDFHTML

Papers citing "Auditing the Use of Language Models to Guide Hiring Decisions"

8 / 8 papers shown
Title
What's in a Name? Auditing Large Language Models for Race and Gender Bias
What's in a Name? Auditing Large Language Models for Race and Gender Bias
Amit Haim
Alejandro Salinas
Julian Nyarko
69
35
0
21 Feb 2024
Mixtral of Experts
Mixtral of Experts
Albert Q. Jiang
Alexandre Sablayrolles
Antoine Roux
A. Mensch
Blanche Savary
...
Théophile Gervet
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoE
LLMAG
144
1,081
0
08 Jan 2024
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAU
FaML
60
523
0
21 Jun 2019
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
103
581
0
08 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
49
994
0
27 Mar 2017
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
295
2,109
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
213
4,305
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
102
1,768
0
19 Sep 2016
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