Healthcare organizations are using AI more than ever before, but plenty of questions remain when it comes to ensuring the safe, responsible use of these models. Industry leaders are still working to figure out how to best address concerns about algorithmic bias, as well as liability if an AI recommendation ends up being wrong.

During a panel discussion last month at MedCity News ’ INVEST Digital Health conference in Dallas, healthcare leaders discussed how they are approaching governance frameworks to mitigate bias and unintended harm. They think that the key pieces are vendor responsibility, better regulatory compliance and clinician engagement.

Ruben Amarasingham — CEO of Pieces Technologies a healthcare AI startup acquired by Smarter Technologies last week — noted that while

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