Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Law
The Limits Of Law And Ai, Ryan Mccarl
The Limits Of Law And Ai, Ryan Mccarl
University of Cincinnati Law Review
For thirty years, scholars in the field of law and artificial intelligence (AI) have explored the extent to which lawyers and judges can be assisted by computers. This Article describes the medium-term outlook for AI technologies and explains the obstacles to making legal work computable. I argue that while AI-based software is likely to improve legal research and support human decision making, it is unlikely to replace traditional legal work or otherwise transform the practice of law.
Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall
Catholic University Journal of Law and Technology
No abstract provided.
Non-Autonomous Artificial Intelligence Programs And Products Liability: How New Ai Products Challenge Existing Liability Models And Pose New Financial Burdens, Greg Swanson
Seattle University Law Review
This Comment argues that the unique relationship between manufacturers, consumers, and their reinforcement learning AI systems challenges existing products liability law models. These traditional models inform how to identify and apportion liability between manufacturers and consumers while exposing litigants to low-dollar tort remedies with inherently high-dollar litigation costs.11 Rather than waiting for AI autonomy, the political and legal communities should be proactive and generate a liability model that recognizes how new AI programs have already redefined the relationship between manufacturer, consumer, and product while challenging the legal and financial burden of prospective consumer-plaintiffs and manufacturer-defendants.
The Application Of Traditional Tort Theory To Embodied Machine Intelligence, Curtis E.A. Karnow
The Application Of Traditional Tort Theory To Embodied Machine Intelligence, Curtis E.A. Karnow
Curtis E.A. Karnow
This note discusses the traditional tort theories of liability such as negligence and strict liability and suggests these are likely insufficient to impose liability on legal entities (people and companies) selling or employing autonomous robots. I provide the essential working definitions of ‘autonomous’ as well as the legal notion of ‘foreseeability’ which lies at the heart of tort liability. The note is not concerned with the policy, ethics, or other issues arising from the use of robots including armed and unarmed drones, because those, as I define them, are not currently autonomous, and do not implicate the legal issues I …