Self-Driving Corporations?

44 Pages Posted: 28 Aug 2019 Last revised: 10 Oct 2019

See all articles by John Armour

John Armour

University of Oxford - Faculty of Law; University of Oxford - Said Business School; European Corporate Governance Institute (ECGI)

Horst Eidenmueller

University of Oxford; European Corporate Governance Institute (ECGI)

Date Written: August 25, 2019

Abstract

What are the implications of artificial intelligence (AI) for corporate law? In this essay, we consider the trajectory of AI’s evolution, analyze the effects of its application on business practice, and investigate the impact of these developments for corporate law. Overall, we claim that the increasing use of AI in corporations implies a shift from viewing the enterprise as primarily private and facilitative, towards a more public, and regulatory, conception of the law governing corporate activity. Today’s AI is dominated by machine learning applications which assist and augment human decision-making. These raise multiple challenges for business organization, the management of which we collectively term ‘data governance’. The impact of today’s AI on corporate law is coming to be felt along two margins. First, we expect a reduction across many standard dimensions of internal agency and coordination costs. Second, the oversight challenges — and liability risks — at the top of the firm will rise significantly. Tomorrow’s AI may permit humans to be replaced even at the apex of corporate decision-making. This is likely to happen first in what we call ‘self-driving subsidiaries’ performing very limited corporate functions. Replacing humans on corporate boards by machines implies a fundamental shift in focus: from controlling internal costs to the design of appropriate strategies for controlling ‘algorithmic failure’, i.e. unlawful acts by an algorithm with potentially severe negative effects (physical or financial harm) on external third parties. We discuss corporate goal-setting, which in the medium term is likely to become the center of gravity for debate on AI and corporate law. This will only intensify as technical progress moves toward the possibility of fully self-driving corporations. We outline potential regulatory strategies for their control. The potential for regulatory competition weakens lawmakers’ ability to respond, and so even though the self-driving corporation is not yet a reality, we believe the regulatory issues deserve attention well before tomorrow’s AI becomes today’s.

Keywords: Corporate Law, Corporate Governance, Artificial Intelligence, Machine Learning, Business Organization, Data Governance, Self-Driving Subsidiaries, Regulation, Corporate Objectives, Control and Liability Regimes, Regulatory Competition

JEL Classification: K22, M1, O3

Suggested Citation

Armour, John and Eidenmueller, Horst G. M., Self-Driving Corporations? (August 25, 2019). European Corporate Governance Institute - Law Working Paper No. 475/2019; Harvard Business Law Review, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3442447 or http://dx.doi.org/10.2139/ssrn.3442447

John Armour

University of Oxford - Faculty of Law ( email )

St Cross Building
St Cross Road
Oxford, OX1 3UL
United Kingdom
+44 1865 281616 (Phone)

HOME PAGE: http://www.law.ox.ac.uk/people/john-armour

University of Oxford - Said Business School ( email )

Park End Street
Oxford, OX1 1HP
Great Britain

HOME PAGE: http://www.sbs.ox.ac.uk/about-us/people/john-armour

European Corporate Governance Institute (ECGI) ( email )

c/o ECARES ULB CP 114
B-1050 Brussels
Belgium

HOME PAGE: http://www.ecgi.org

Horst G. M. Eidenmueller (Contact Author)

University of Oxford ( email )

Mansfield Road
Oxford, Oxfordshire OX1 4AU
United Kingdom

European Corporate Governance Institute (ECGI) ( email )

c/o ECARES ULB CP 114
B-1050 Brussels
Belgium

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