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.
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
*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
