
Managing Bias, Regulatory, and Inventorship Challenges Linked to AI Use in Health Care
Managing Bias, Regulatory, and Inventorship Challenges Linked to AI Use in Health Care
Health care organizations deploying AI face complex questions involving diversity, regulations, and ownership of innovations made with AI tools. In an interview with Healthcare IT News, Mintz Member Terri Shieh-Newton shared insights for providers on managing machine learning integration of racial diversity, gender, and genetic information and identifying inventorship of IP developed with AI.
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