Corporate Management in the Age of AI

Columbia Business Law Review, Forthcoming

UCL Working Paper Series, Corporate Management in the Age of AI (No.3/2019)

Faculty of Laws University College London Law Research Paper No. 3/2019

54 Pages Posted: 12 Mar 2019 Last revised: 1 May 2019

See all articles by Martin Petrin

Martin Petrin

University College London - Faculty of Laws

Date Written: March 4, 2019

Abstract

Recent media reports and press releases have created the impression that Artificial Intelligence (AI) is on the verge of assuming an important role in corporate management. While, upon closer inspection, it turns out that these stories should not always be taken at face value, they clearly highlight AI’s growing importance in management and hint at the enormous changes that corporate leadership may experience in the future. This article attempts to anticipate that future by exploring a thought experiment on corporate management and AI. It argues that it is not an insurmountable step from AI generating and suggesting expert decisions (which is already common today) to AI making these decisions autonomously. The article then proceeds based on the assumption that next-generation AI will be able to take over the management of business organisations and explores the corporate law and governance consequences of this development. In doing so, the article focuses on the fundamental areas of corporate leadership/management structures, managerial liability, and the corporate purpose. It also considers the phenomenon of algorithmic entities and leaderless entities.

Keywords: Artificial intelligence, AI, corporate management, directors, officers, software, algorithmic entities, leaderless entities, DAO, decentralized enterprises, corporate governance, liability, corporate purpose

JEL Classification: K20, K22, O30, O32, O33

Suggested Citation

Petrin, Martin, Corporate Management in the Age of AI (March 4, 2019). Columbia Business Law Review, Forthcoming; UCL Working Paper Series, Corporate Management in the Age of AI (No.3/2019) ; Faculty of Laws University College London Law Research Paper No. 3/2019. Available at SSRN: https://ssrn.com/abstract=3346722 or http://dx.doi.org/10.2139/ssrn.3346722

Martin Petrin (Contact Author)

University College London - Faculty of Laws ( email )

London WC1E OEG
United Kingdom

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