AI, On the Law of Evolving Governance in an Exponentially Autonomous World: Proposing an Interdisciplinary Artificial Intelligence Governance System
Posted: 14 Aug 2020
Date Written: 2020
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
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