Artificial intelligence for human flourishing – Beyond principles for machine learning

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dc.cclicenceCC-BY-NCen
dc.contributor.authorStahl, Bernd Carsten, 1968-
dc.contributor.authorAndreou, Andreas
dc.contributor.authorBrey, Philip
dc.contributor.authorHatzakis, Tally
dc.contributor.authorKirichenko, Alexey
dc.contributor.authorMacnish, Kevin
dc.contributor.authorLaulhe Shaelou, Stephanie
dc.contributor.authorPatel, Andrew
dc.contributor.authorRyan, Mark
dc.contributor.authorWright, David
dc.date.acceptance2020-11-18
dc.date.accessioned2020-12-16T09:19:28Z
dc.date.available2020-12-16T09:19:28Z
dc.date.issued2021
dc.descriptionopen access articleen
dc.description.abstractThe technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.en
dc.funderEuropean Union (EU) Horizon 2020en
dc.identifier.citationStahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Laulhé Shaelou, S., Patel, A., Ryan, M. and Wright, D. (2021) Artificial intelligence for human flourishing – Beyond principles for machine learning. Journal of Business Research.en
dc.identifier.doihttps://doi.org/10.1016/j.jbusres.2020.11.030
dc.identifier.issn0148-2963
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20535
dc.language.isoenen
dc.peerreviewedYesen
dc.projectid786641en
dc.publisherElsevieren
dc.researchinstituteCentre for Computing and Social Responsibility (CCSR)en
dc.subjectethicsen
dc.subjectartificial intelligenceen
dc.subjectbig dataen
dc.subjecthuman rightsen
dc.subjectgovernanceen
dc.titleArtificial intelligence for human flourishing – Beyond principles for machine learningen
dc.typeArticleen

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