Artificial Intelligence: Socio-Political Challenges of Delegating Human Decision-Making to Machines

Robert Braun
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Robert Braun: Institute for Advanced Studies, Vienna, Techno Science and Societal Transformation Research Group

No 6, IHS Working Paper Series from Institute for Advanced Studies

Abstract: Artificial intelligence is at the heart of current debates related to ethical, social and political issues of technological innovation. This briefing refocuses attention from the techno-ethical challenges of AI to artificial decision-making (ADM) and the questions related to delegating human decisions to ADM. It is argued that (a) from a socio-ethical point of view the delegation is more relevant than the actual ethical problems of AI systems; (b) instead of traditional responsible AI approaches focusing on accountability, responsibility and transparency (ART) we should direct our attention to trustworthiness in the delegation process; and (c) trustworthiness as a socio-communicational challenge leads to questions that may be guided by a responsible research and innovation framework of anticipation, reflexivity, inclusion, and responsiveness. This may lead to different questions policymakers and other interested publics may ask as well as novel approaches, including regulatory sandboxes and other measures to foster a more inclusive, open and democratic culture of human-ADM relations.

Keywords: AI; arithmetic decision-making; delegation; Arendt; RRI (search for similar items in EconPapers)
JEL-codes: M14 M31 O31 O32 O33 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2019-04
New Economics Papers: this item is included in nep-big and nep-hme
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https://irihs.ihs.ac.at/id/eprint/5043/ First version, 2019 (application/pdf)

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