The Record

In a controversial decision in Goldman v. Breitbart, the U.S. District Court for the Southern District of New York ruled that, by embedding a tweet containing a copyrighted photograph in a webpage, defendants violated the copyright owner’s exclusive display right. In reaching this decision, the Goldman court explicitly rejected the “server test,” which was first established over a decade ago by the Ninth Circuit in Perfect 10 v. Google, and has since then become a de facto bright-line rule upon which many Internet actors rely.

Advances in healthcare artificial intelligence (AI) will seriously challenge the robustness and appropriateness of our current healthcare regulatory models. These models primarily regulate medical persons using the “practice of medicine” touchstone or medical machines that meet the FDA definition of “device.” However, neither model seems particularly appropriate for regulating machines practicing medicine or the complex man-machine relationships that will develop.

Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, a threshold issue involves what role AI will play in the larger medical system.

Suicidal thoughts and behaviors are an international public health problem contributing to 800,000 annual deaths and up to 25 million nonfatal suicide attempts. In the United States, suicide rates have increased steadily for two decades, reaching 47,000 per year and surpassing annual motor vehicle deaths. This trend has prompted government agencies, healthcare systems, and multinational corporations to invest in artificial intelligence-based suicide prediction algorithms. This article describes these tools and the underexplored risks they pose to patients and consumers.

We are witnessing an interesting juxtaposition in medical decision-making. Increasingly, health providers are moving away from traditional substitute decision-making for patients who have lost decisional capacity, towards supported decision-making. Supported decision-making increases patient autonomy as the patient—with the support and assistance of others—remains the final decisionmaker. By contrast, doctors’ decision-making capacity is diminishing due to the increasing use of AI to diagnose and treat patients.