Design AI so that its fair

Nature

Volumn 559, Issue 7714, 2018, Pages 324-326

  Zou, James ^a   Schiebinger, Londa ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Information technology; Society

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; CIVIL SOCIETY; DESIGN; ERROR ANALYSIS; INFORMATION TECHNOLOGY; SKEWNESS; TRAINING;

ARTIFICIAL INTELLIGENCE; HUMAN; INFORMATION TECHNOLOGY; REVIEW; SCIENTIST; ARTIFICIAL NEURAL NETWORK; ETHICS; FEMALE; INFORMATION PROCESSING; MACHINE LEARNING; MALE; NATURAL LANGUAGE PROCESSING; PREVENTION AND CONTROL; RACISM; SEX FACTOR; SEXISM; SOCIAL JUSTICE; STANDARDS; TRENDS;

ARTIFICIAL INTELLIGENCE; DATASETS AS TOPIC; FEMALE; HUMANS; MACHINE LEARNING; MALE; NATURAL LANGUAGE PROCESSING; NEURAL NETWORKS (COMPUTER); RACE FACTORS; RACISM; SEX FACTORS; SEXISM; SOCIAL JUSTICE;

EID: 85050253474     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/d41586-018-05707-8     Document Type: Review

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