#EveningRead Profs. Nicholson Price (@[email protected]) and I. Glenn Cohen (Harvard Law School) on the features of medical AI that complicate the application of existing tort doctrines and render them ineffective at creating incentives for the safe and effective use of medical AI. papers.ssrn.com/sol3/papers.cf…

How can we enable local health systems to collaboratively & effectively govern #medicalAI? Karandeep Singh, S. Bali, M. Sendak & I argue (today in Nature Machine Intelligence) that a) it's tough; b) some tasks will be unavoidably local; & c) policy can help. Enjoy! @ rdcu.be/diYpU

AI governance is the essential human component that ensures AI we use in healthcare carefully considers relevant human factors. But governance requires resources. In this paper, we outline how local governance can be done collaboratively to make it doable for smaller systems.

#EveningRead Professor Nicholson Price (@[email protected]) and co-authors ask, How can we enable local health systems to collaboratively & effectively govern #medicalAI? Read: "Enabling collaborative governance of medical AI" in Nature Machine Intelligence: go.nature.com/3KDPhbF

Re-reading the fantastic article by R-Croo-D2, Margot Kaminski and Nicholson Price (@[email protected]) about artificial intelligence regulation, which I am teaching tomorrow in my Law and Technologies and Life Seminar. This is a must read! papers.ssrn.com/sol3/papers.cf…

We can't address technological #racism without addressing the structural racism in medicine first. When Algorithms and AI Perpetuate Medical Racism, Who’s Responsible? buff.ly/49K7RJx by Margo Snipe via Capital B CC: Noha Aboelata, MD Kadija Ferryman, PhD (she/her) Nicholson Price (@[email protected])

We hear a lot about how AI could threaten the privacy and security of our health care data. But could too much privacy make our AI biased and less effective? Nicholson Price (@[email protected]) thinks so. Nicholson makes the case on today's Tradeoffs: tradeoffs.org/2024/03/07/ai-…

The final version of Nicholson Price (@[email protected]) & my paper Locating Liability for Medical AI via.library.depaul.edu/law-review/vol… part of the DePaul Law Review Clifford Torts symposium is now out. The paper is about how to allocate liability between hospitals and developers for medical AI errors.

Particularly proud of this JAMA Network Open piece funded by National Human Genome Research Institute where we asked 294 genetic researchers whether they are currently using data from diverse ancestral groups, why or why not, and how data stewards can encourage that use? 1/

When a patient gets injured, who SHOULD be liable? (not who *is*, that's another thing). @cohenprof and I have thoughts! (spoiler: it's hospitals, with a huge caveat!) Final version in DePaul Law Review out now: ssrn.com/abstract=45177… #ai #liability #medicalai

Khiara Bridges of UC Berkeley Law has a great new piece laying out bias in medical AI used in maternal care—& making the surprisingly radical suggestion that it should be addressed through wide-ranging informed consent. My @ireadjotwell review: cyber.jotwell.com/can-informed-c… #medicalAI

Hot off the press in Nature Biotechnology "The Sufficiency of Disclosure of Medical AI Patents with Nicholson Price (@[email protected]) CeBIL Faculty of Law. Full text at: rdcu.be/dK4G4 or nature.com/articles/s4158… (1) To what extent are medical AI patents disclosed? How does this level

🌟 Reflecting on Our "Current Ethical and Legal Issues in Medical AI" Seminar! 🌟On June 17, 2024, #CeBIL and Lifesciencelaw.dk explored key topics in medical AI: ethics, law, case studies, and collaboration. Thanks to all participants! #MedicalAI #Ethics #Law #Innovation

The sufficiency of disclosure of medical artificial intelligence patents go.nature.com/3KP6Jd4

AI is touted as a gamechanger for drug development across the whole cycle. Is it? Louise C. Druedahl Ameet Sarpatwari, Timo Minssen, & I find...maybe? Modest use, mostly in earlier discovery stages. Lots of potential left! JAMA Network Open jamanetwork.com/journals/jaman… #AI #drugs

I have a strong recollection of a study showing that #medicalAI studies (or devices) typically didn't report demographics of their data, and that the ones that did were biased. But I can't find it. Anyone know what I'm talking about?

🆕 Research Handbook on Health, #AI and the Law, edited by Barry Solaiman and I. Glenn Cohen More info ➡️ e-elgar.com/shop/isbn/9781… This #OpenAccess title is 🆓 to download ➡️ elgaronline.com/edcollbook-oa/… Effy Vayena Craig Konnoth Timo Minssen Nicholson Price (@[email protected]) Dr. Kaspar Rosager Ludvigsen Vasiliki N Rahimzadeh, PhD

Check out our Nicholson Price (@[email protected]) & I. Glenn Cohen book chapter on liability for use of AI in medicine in this fantastic research handbook on health, AI & the Law Barry Solaiman doi.org/10.4337/978180…

The world's most comprehensive book on Health, AI and the Law, and it's open access! Link➡️ e-elgar.com/shop/gbp/resea… edited by Barry Solaiman and I. Glenn Cohen with contributions from leading scholars globally examining: 1. The uses of AI 2. The legal considerations of AI in

Lu on Regulating Algorithmic Harms, lsolum.typepad.com/legaltheory/20…