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dc.contributor.authorBuhmann, Alexander
dc.contributor.authorFieseler, Christian
dc.identifier.citationBusiness ethics quarterly, Online First 24 January, p.1-34en_US
dc.description.abstractResponsible innovation in artificial intelligence (AI) calls for public deliberation: well-informed “deep democratic” debate that involves actors from the public, private, and civil society sectors in joint efforts to critically address the goals and means of AI. Adopting such an approach constitutes a challenge, however, due to the opacity of AI and strong knowledge boundaries between experts and citizens. This undermines trust in AI and undercuts key conditions for deliberation. We approach this challenge as a problem of situating the knowledge of actors from the AI industry within a deliberative system. We develop a new framework of responsibilities for AI innovation as well as a deliberative governance approach for enacting these responsibilities. In elucidating this approach, we show how actors from the AI industry can most effectively engage with experts and nonexperts in different social venues to facilitate well-informed judgments on opaque AI systems and thus effectuate their democratic governance.en_US
dc.publisherCambridge University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.subjectartificial intelligence (AI)en_US
dc.subjectAI ethicsen_US
dc.subjectAI governanceen_US
dc.subjectresponsible innovationen_US
dc.subjectpolitical corporate social responsibility (PCSR)en_US
dc.subjectdeliberative democracyen_US
dc.titleDeep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligenceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holderThe Authorsen_US
dc.source.journalBusiness Ethics Quarterlyen_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal