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We asked about the following uses of assessing eligibility and risk using AI: to calculate eligibility for jobs, to assess eligibility for welfare benefits, to predict the risk of developing cancer from a scan, and to predict the risk of not repaying a loan.
The public’s most commonly chosen benefit for risk and eligibility assessments is speed (for example, ‘applying for a loan will be faster and easier’)
Just under half, 43%, think speed is a benefit of using AI to assess eligibility for welfare benefits, 49% for job recruitment, and 52% for assessing risk of repaying a loan. An overwhelming majority of 82% think that earlier detection of cancer is a key advantage in using AI to predict the risk of cancer from a scan, a consensus not reached in any other technologies.
In addition to speed, reduction of human bias and error are seen as key benefits of technologies in this group. For the use of AI in recruiting for jobs and for assessing risk of repaying a loan, the technologies being less likely than humans to ‘discriminate against some groups of people in society’ is the second most commonly selected benefit, selected by 41% and 39% respectively.
Reduction in ‘human error’ is the second most commonly selected benefit for the use of AI in determining risk of cancer from scans and for assessing eligibility for welfare benefits, selected by 53% and 38% respectively.
The technologies being more accurate than human professionals overall, however, is not selected as a key benefit of most uses of AI in this group. Less than one third of people in Britain perceive this to be a key benefit for the use of AI in determining risk for the repayment of loans (29% selected), determining eligibility for welfare benefits (22% selected) and determining eligibility for jobs (13% selected).
An exception to this pattern is in the use of AI to determine risk of cancer from scans, where 42% of people perceive a key benefit as improved accuracy over professionals.