Work

Beyond the individual: governing AI’s societal harm

Year: 2021

Type: article

Abstract: In this article, I propose a distinction between individual harm, collective harm and societal harm caused by artificial intelligence (AI), and focus particularly on the latter. By listing examples and identifying concerns, I provide a conceptualisation of AI’s societal harm so as to better enable its identification and mitigation. Drawing on an analogy with environmental law, which also aims to protect an interest affecting society at large, I propose governance mechanisms that EU policymakers should consider to counter AI’s societal harm.

Source: Internet Policy Review

DOI: 10.14763/2021.3.1574

Author: Nathalie A. Smuha

Institution: KU Leuven

Language: English

Topic: Digitalization, Law, and Regulation

Subfield: Law

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: diamond

Funders: Fonds Wetenschappelijk Onderzoek, Vlaamse regering