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On the Current and Emerging Challenges of Developing Fair and Ethical AI
  Solutions in Financial Services

On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services

2 November 2021
Eren Kurshan
Jiahao Chen
Victor Storchan
Hongda Shen
    FaML
    AIFin
ArXivPDFHTML

Papers citing "On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services"

5 / 5 papers shown
Title
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
58
23
0
10 Sep 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
33
0
0
16 Jul 2024
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
299
4,203
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
221
673
0
17 Feb 2018
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
198
2,082
0
24 Oct 2016
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