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A Survey on Bias and Fairness in Machine Learning

By Ninareh Mehrabi et al
Published on Jan. 25, 2022

Towards a Standard for Identifying and Managing Bias in Artificial Intelligence

By Reva Schwartz et al
Published on March 10, 2022

Bias in Machine Learning - What Is It Good For?

By Thomas Hellström et al
Published on None

Bias, Fairness, and Accountability with AI and ML Algorithms

By Nengfeng Zhou et al
Published on May 6, 2021

Data, Power and Bias in Artificial Intelligence

By Susan Leavy et al
Published on July 28, 2020

Bias and Discrimination in AI

By Xavier Ferrer et al
Published on Aug. 11, 2020

Measuring the Bias in Conversational AI System

By Y. Wan et al
Published on None

Certifying Robustness to Programmable Data Bias in Decision Trees

By Anna P. Meyer et al
Published on None

Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”

By Kornel Lewicki et al.
Published on Jan. 1, 2023

AI Fairness: From Principles to Practice

By Arash Bateni et al
Published on None

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