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Tackling problems, harvesting benefits: A systematic review of the regulatory debate around AI

Folberth, Anja 1,2; Jahnel, Jutta ORCID iD icon 1; Bareis, Jascha 1; Orwat, Carsten ORCID iD icon 1; Wadephul, Christian 1
1 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
2 Universität Heidelberg (Universität Heidelberg)


How to integrate an emerging and all-pervasive technology such as AI into the structures and operations of our society is a question of contemporary politics, science and public debate. It has produced a considerable amount of international academic literature from different disciplines. This article analyzes the academic debate around the regulation of artificial intelligence (AI). The systematic review comprises a sample of 73 peer-reviewed journal articles published between January 1st, 2016, and December 31st, 2020.
The analysis concentrates on societal risks and harms, questions of regulatory responsibility, and possible adequate policy frameworks, including risk-based and principle- based approaches. The main interests are proposed regulatory approaches and instruments. Various forms of interventions such as bans, approvals, standard-setting, and disclosure are presented. The assessments of the included papers indicate the complexity of the field, which shows its prematurity and the remaining lack of clarity. By presenting a structured analysis of the academic debate, we contribute both empirically and conceptually to a better understanding of the nexus of AI and regulation and the underlying normative decisions. ... mehr

Volltext §
DOI: 10.5445/IR/1000150432
Veröffentlicht am 07.09.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2194-1629
KITopen-ID: 1000150432
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 26 S.
Serie KIT Scientific Working Papers ; 197
Schlagwörter Artificial Intelligence, Artificial Intelligence Act (AIA), Automated Decision-Making, Risk Regulation, Systematic Review
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