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

This article examines the academic debate surrounding the regulation of artificial intelligence (AI), analyzing how AI is integrated into societal structures and operations.

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.