B. L. Sheppard
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View article: Matters Arising: The importance of understanding AI’s impact on physician behavior
Matters Arising: The importance of understanding AI’s impact on physician behavior Open
In a prior edition of this journal, Ryan and colleagues conducted an experiment to examine the role of AI on physician decision making. They observed that 67% of physicians who initially recommended against treatment, but later viewed AI o…
View article: Radiologist-AI workflow can be modified to reduce the risk of medical malpractice claims
Radiologist-AI workflow can be modified to reduce the risk of medical malpractice claims Open
Background Artificial Intelligence (AI) is rapidly changing the legal landscape of radiology. Results from a previous experiment suggested that providing AI error rates can reduce perceived radiologist culpability, as judged by mock jury m…
View article: We Give Laws a Bad Name: An Empirical Examination of How Misleading Law and PAC Names Pollute Legal Perception
We Give Laws a Bad Name: An Empirical Examination of How Misleading Law and PAC Names Pollute Legal Perception Open
Journalists and commentators have dismissed acronym-titled laws like the SAFE Act (Secure Access to Firearms Enhancement Act) and slogan-based political action committee (“PAC”) names like Americans for America as window dressing concocted…
View article: Opportunity and Opportunism in Artificial Intelligence–Powered Data Extraction: A Value-Centered Approach
Opportunity and Opportunism in Artificial Intelligence–Powered Data Extraction: A Value-Centered Approach Open
Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial …
View article: Just because you’re paranoid doesn’t mean they won’t side with the plaintiff: Examining perceptions of liability about AI in radiology
Just because you’re paranoid doesn’t mean they won’t side with the plaintiff: Examining perceptions of liability about AI in radiology Open
Background Artificial Intelligence (AI) will have unintended consequences for radiology. When a radiologist misses an abnormality on an image, their liability may differ according to whether or not AI also missed the abnormality. Methods U…
View article: A Motion Planning Algorithm in a Figure Eight Track
A Motion Planning Algorithm in a Figure Eight Track Open
We design a motion planning algorithm to coordinate the movements of two robots along a figure eight track, in such a way that no collisions occur. We use a topological approach to robot motion planning that relates instabilities in motion…
View article: A Motion Planning Algorithm in a Figure Eight Track
A Motion Planning Algorithm in a Figure Eight Track Open
We design a motion planning algorithm to coordinate the movements of two robots along a figure eight track, in such a way that no collisions occur. We use a topological approach to robot motion planning that relates instabilities in motion…
View article: The Reasonableness Machine
The Reasonableness Machine Open
Automation might someday allow for the inexpensive creation of highly contextualized and effective laws. If that ever comes to pass, however, it will not be on a blank slate. Proponents will face the question of how to computerize bedrock …
View article: Warming Up to Inscrutability: How Technology Could Challenge Our Concept of Law
Warming Up to Inscrutability: How Technology Could Challenge Our Concept of Law Open
In the article, I describe the trajectory of legal technology and discuss how developments in that area might change the way that we think about the essential features of legality. In particular, I focus on the strengths and weaknesses of …
View article: Incomplete Innovation and the Premature Disruption of Legal Services
Incomplete Innovation and the Premature Disruption of Legal Services Open
Article published in the Michigan State Law Review.