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From Automation To Autonomy: Legal And Ethical Responsibility Gaps In Artificial Intelligence Innovation, David Nersessian, Ruben Mancha
From Automation To Autonomy: Legal And Ethical Responsibility Gaps In Artificial Intelligence Innovation, David Nersessian, Ruben Mancha
Michigan Technology Law Review
The increasing prominence of artificial intelligence (AI) systems in daily life and the evolving capacity of these systems to process data and act without human input raise important legal and ethical concerns. This article identifies three primary AI actors in the value chain (innovators, providers, and users) and three primary types of AI (automation, augmentation, and autonomy). It then considers responsibility in AI innovation from two perspectives: (i) strict liability claims arising out of the development, commercialization, and use of products with built-in AI capabilities (designated herein as “AI artifacts”); and (ii) an original research study on the ethical practices …
Torts And Innovation, Gideon Parchomovsky, Alex Stein
Torts And Innovation, Gideon Parchomovsky, Alex Stein
Michigan Law Review
This Essay exposes and analyzes a hitherto overlooked cost of tort law: its adverse effect on innovation. Tort liability for negligence, defective products, and medical malpractice is determined by reference to custom. We demonstrate that courts' reliance on custom and conventional technologies as the benchmark of liability chills innovation and distorts its path. Specifically, recourse to custom taxes innovators and subsidizes replicators of conventional technologies. We explore the causes and consequences of this phenomenon and propose two possible ways to modify tort law in order to make it more welcoming to innovation.