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dc.contributor.authorCave, Stephenen
dc.contributor.authorCoughlan, Ken
dc.contributor.authorDihal, Kantaen
dc.date.accessioned2019-01-29T00:30:35Z
dc.date.available2019-01-29T00:30:35Z
dc.date.issued2019-01-27en
dc.identifier.isbn9781450363242en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288453
dc.description.abstractHow AI is perceived by the public can have significant impact on how it is developed, deployed and regulated. Some commentators argue that perceptions are currently distorted or extreme. This paper discusses the results of a nationally representative survey of the UK population on their perceptions of AI. The survey solicited responses to eight common narratives about AI (four optimistic, four pessimistic), plus views on what AI is, how likely it is to impact in respondents’ lifetimes, and whether they can influence it. 42% of respondents offered a plausible definition of AI, while 25% thought it meant robots. Of the narratives presented, those associated with automation were best known, followed by the idea that AI would become more powerful than humans. Overall results showed that the most common visions of the impact of AI elicit significant anx- iety. Only two of the eight narratives elicited more excitement than concern (AI making life easier, and extending life). Respondents felt they had no control over AI’s development, citing the power of corporations or government, or versions of technological determinism. Negotiating the deployment of AI will require contending with these anxieties.
dc.publisherACM Press
dc.rightsAttribution-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.title“Scary robots” examining public responses to AIen
dc.typeConference Object
prism.endingPage337
prism.publicationDate2019en
prism.publicationNameAIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Societyen
prism.startingPage331
dc.identifier.doi10.17863/CAM.35741
dcterms.dateAccepted2018-12-06en
rioxxterms.versionofrecord10.1145/3306618.3314232en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-01-27en
dc.contributor.orcidCave, Stephen [0000-0002-0764-0874]
dc.contributor.orcidDihal, Kanta [0000-0003-2292-7221]
rioxxterms.typeConference Paper/Proceeding/Abstracten
cam.orpheus.counter2*
rioxxterms.freetoread.startdate2100-01-01


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Attribution-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NoDerivatives 4.0 International