Law Commons^™

Regulating New Tech: Problems, Pathways, And People, Cary Coglianese

All Faculty Scholarship

New technologies bring with them many promises, but also a series of new problems. Even though these problems are new, they are not unlike the types of problems that regulators have long addressed in other contexts. The lessons from regulation in the past can thus guide regulatory efforts today. Regulators must focus on understanding the problems they seek to address and the causal pathways that lead to these problems. Then they must undertake efforts to shape the behavior of those in industry so that private sector managers focus on their technologies’ problems and take actions to interrupt the causal pathways. …

When Justice Should Precede Generosity: The Case Against Charitable Immunity In Arkansas, Courtney Jane Baltz

Arkansas Law Notes

This Comment discusses various aspects of the modern hospital and examines charitable immunity’s incompatibility with modern law.

First, Part II explains the historical justifications for immunity and presents the doctrine’s landscape in the United States. Part III examines the role precedent plays in continuing to adhere to the rule of immunity. Part IV takes an in-depth approach of the big business of hospitals by evaluating various financial aspects of charitable hospitals. Part V explores the reality of charitable immunity falling out of touch with concepts of modern law. Part VI takes a more specific look at the application of the …

How Much Can Potential Jurors Tell Us About Liability For Medical Artificial Intelligence?, W. Nicholson Price Ii, Sara Gerke, I. Glenn Cohen

Articles

Artificial intelligence (AI) is rapidly entering medical practice, whether for risk prediction, diagnosis, or treatment recommendation. But a persistent question keeps arising: What happens when things go wrong? When patients are injured, and AI was involved, who will be liable and how? Liability is likely to influence the behavior of physicians who decide whether to follow AI advice, hospitals that implement AI tools for physician use, and developers who create those tools in the first place. If physicians are shielded from liability (typically medical malpractice liability) when they use AI tools, even if patient injury results, they are more likely …