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Home Research Topics Internet & Technology Emerging Technology Algorithms
Pew Research CenterNovember 15, 2018
1. Attitudes toward algorithmic decision-making

54% of Americans think automated finance scores would be effective – but just 32% think they would be fair

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54% of Americans think automated finance scores would be effective – but just 32% think they would be fair

Post Infographics

1. Attitudes toward algorithmic decision-making
Majority of Americans say computer programs will always reflect human bias; young adults are more split
Broad public concern about the fairness of these examples of algorithmic decision-making
54% of Americans think automated finance scores would be effective – but just 32% think they would be fair
Concerns over automated personal finance scores focus on privacy, discrimination, failure to represent people accurately
Concerns over criminal risk scores focus on lack of individual focus, ability for people to change
Concerns over automated job interview analysis focus on fairness, effectiveness, lack of human involvement
Concerns over automated resume screening focus on fairness, lack of human involvement
Majority of Americans say computer programs will always reflect human bias; young adults are more split
Broad public concern about the fairness of these examples of algorithmic decision-making
54% of Americans think automated finance scores would be effective – but just 32% think they would be fair
Concerns over automated personal finance scores focus on privacy, discrimination, failure to represent people accurately
Concerns over criminal risk scores focus on lack of individual focus, ability for people to change
Concerns over automated job interview analysis focus on fairness, effectiveness, lack of human involvement
Concerns over automated resume screening focus on fairness, lack of human involvement

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