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FDA Oversight of AI Software Developed by Health Care Providers

Introduction - Hardly a day goes by when we don’t see some media report of health care providers experimenting with machine learning, and more recently with generative AI, in the context of patient care. The allure is...more

Unpacking Averages: Understanding the Potential for Bias in a Sepsis Prediction Algorithm, a Case Study

Would it surprise you if I told you that a popular and well-respected machine learning algorithm developed to predict the onset of sepsis has shown some evidence of racial bias? How can that be, you might ask, for an...more

[Webinar] Explainable Artificial Intelligence and Transparency: Legal Risks and Remedies for the “Black Box” Problem - June 9th,...

Artificial intelligence (AI) and machine-learning algorithms are powerful tools that can automate or inform decision-making. At the same time, those algorithms can be quite complex and appear to be a “black box”—inscrutable...more

[Webinar] Shaping the Future of Artificial Intelligence (AI) Within Life Sciences - September 30th, 9:00 am - 10:15 am ET

Amy Dow and Brad Thompson, Members of the Firm, speak on “Shaping the Future of Artificial Intelligence (AI) Within Life Sciences,” a virtual program co-hosted by Simmons & Simmons and Epstein Becker Green. On both sides of...more

[Virtual Roundtable] NIST’s Proposal on Bias in Artificial Intelligence Roundtable - July 27th, 12:00 pm - 1:00 pm ET

The effects of algorithmic and data biases continue to make headlines and erode public trust in artificial intelligence (“AI”). Recruiting software unfairly discriminates against women and minorities, facial recognition tools...more

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