Beyond the individual: governing AI’s societal harm

Nathalie A. Smuha

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI Legal and Labor Studies

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.

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References

2015The Black Box Society 2016The ethics of algorithms: Mapping the debate 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 2017Do Artifacts Have Politics?2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability 2019Responsible Artificial Intelligence 2018The European Union General Data Protection Regulation: What It Is And What It Means 2019Human Compatible: Artificial Intelligence and the Problem of Control

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