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

Overview

Authors: Anja Folberth, Jutta Jahnel, Jascha Bareis, Carsten Orwat, Christian Wadephul

Publication Date: 7 September 2022

Link: https://arxiv.org/abs/2209.05468

Keywords: AI regulation, AI governance, systematic literature review, risk-based regulation, principle-based regulation, societal risks and harms, regulatory responsibility, policy frameworks, standard-setting, European AI regulation

Type: Peer-Reviewed Journals/White Papers

Summary

This article examines the academic debate surrounding the regulation of artificial intelligence (AI), analyzing how AI is integrated into societal structures and operations. Drawing from 73 peer-reviewed journal articles published between 2016 and 2020, the study explores key themes, including societal risks and harms, regulatory responsibilities, and potential policy frameworks such as risk-based and principle-based approaches. Various regulatory interventions—such as bans, approvals, standard-setting, and disclosure—are discussed, highlighting the complexity and evolving nature of AI governance. By systematically analyzing the discourse on AI regulation, the study provides both empirical and conceptual insights, offering a comparative analysis of scientific proposals and the European AI regulation, identifying its strengths and weaknesses.