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AI & Bias: Home

About this guide

The purpose of this subject guide is to provide resources about bias within artificial intelligence and machine learning.  From books, videos, and articles, this subject guide will explore this topic in depth and provide students and researchers with the resources necessary to fully examine this issue.

Keywords

AI

algorithmic decision-making

algorithms

bias

convolutional neural networks

deep learning

discrimination

diversity

echo chamber

employment

explainable artificial intelligence

explanation

fair machine learning

filter bubble

gender

gender bias

history of computing

inadvertent injustice

inclusion

information technology

institutional bias

interpretability

IT failures

machine bias

machine learning

machine translation

natural language processing

profession

race

risk

software

speech-to-text

underrepresented minorities

women

Google Scholar

Google Scholar Search
Google Scholar Search

Subject Terms

*ALGORITHMS

*ARTIFICIAL intelligence

*ARTIFICIAL intelligence & ethics

*CIVIL rights

*CLOUD computing

*COMPUTER science

*DIFFUSION of innovations

*DISCRIMINATION

*DIVERSITY in organizations

*DIVERSITY in the workplace

*EDUCATION of African Americans

*EMPLOYMENT

*EMPLOYMENT of African Americans

*EMPLOYMENT of minorities

*ENGINEERING laboratories

*EQUALITY in the workplace

*ETHICS

*GENDER stereotypes

*HEALTH services accessibility

*HEALTH status indicators

*INCOME

*JURISPRUDENCE

*MEDICAL screening

*MENTAL illness risk factors

*MINORITIES

*RACE discrimination

*RESEARCH ethics

*RISK assessment

*SCIENTIFIC literature

*SEX discrimination

*SOCIOECONOMIC factors

*TRUST

*VOCATIONAL guidance

*VOICE

*WOMEN employees