AI, On the Law of Evolving Governance in an Exponentially Autonomous World: Proposing an Interdisciplinary Artificial Intelligence Governance System

Posted: 14 Aug 2020

See all articles by Emile Loza de Siles

Emile Loza de Siles

Duquesne University School of Law; Technology & Cybersecurity Law Group; University of Maryland Global Campus

Date Written: 2020

Abstract

The governance of autonomous and automated decision and decision support systems and other artificial intelligence (“AI”) technologies is inadequate, particularly where persons and communities are the subjects of or impacted by same. Existing law and policy systems are not producing timely, adequate, or informed AI governance for several largely intransigent reasons.

Although ways to govern certain aspects of AI technologies are under discussion, the underlying conundra likely will not resolve sufficiently quickly or satisfactorily to produce adequate governance before AI-created or -compounded harms propagate at global scale through the information ecosystem.

This paper proposes an alternative integrated artificial intelligence governance model by applying soft law legal development theory to a multidisciplinary commons regarding AI design, deployment, and use.

The paper’s novel research applies soft law evolutionary processes to domestic law in the United States; integrates governance-relevant parameters from a commons reflecting multiple disciplines into an interdisciplinary AI governance system; and evaluates that system with thought experiments designed to evoke compelling AI issues called out by the author or discussed within the legal literature.

Keywords: artificial intelligence, law, soft law, Corporations, Technology Markets, Corporate Governance, Technology, Legislation, Regulation

Suggested Citation

Loza de Siles, Emile, AI, On the Law of Evolving Governance in an Exponentially Autonomous World: Proposing an Interdisciplinary Artificial Intelligence Governance System (2020). Available at SSRN: https://ssrn.com/abstract=3663272

Emile Loza de Siles (Contact Author)

Duquesne University School of Law ( email )

600 Forbes Avenue
Pittsburgh, PA 15282
United States

Technology & Cybersecurity Law Group ( email )

Washington, DC
United States

University of Maryland Global Campus ( email )

3501 University Boulevard East
Adelphi, MD 20783
United States

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