Execs: To Reduce Disparities, Insurers Must Constantly Target AI Bias

As artificial intelligence software proliferates in the health care sector, a good deal of attention has focused on the ways that AI could make existing health disparities worse. Experts say that AI also has the potential to mitigate or reverse health disparities — so long as health care organizations, and insurers in particular, proactively and continuously counter biases in their current and future software platforms.

“We’re at this inflection point where we have new tools. We have new technology that actually may have that opportunity to address health inequality in a way we haven’t been able to before. But we’re at this inflection point where that same tool can actually amplify that bias, amplify the inequality that already exists,” said Maia Hightower, M.D., during a March 26 panel organized by the National Institute for Health Care Management (NIHCM) Foundation.

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Peter Johnson

Peter Johnson

Peter has worked as a journalist since 2011 and has covered health care since 2020. At AIS Health, Peter covers trends in finance, business and policy that affect the health insurance and pharma sectors. For Health Plan Weekly, he covers all aspects of the U.S. health insurance sector, including employer-sponsored insurance, Medicaid managed care, Medicare Advantage and the Affordable Care Act individual marketplaces. In Radar on Drug Benefits, Peter covers the operations of (and conflicts between) pharmacy benefit managers and pharmaceutical manufacturers, with a particular focus on pricing dynamics and market access. Before joining AIS Health, Peter covered transportation, public safety and local government for various outlets in Seattle, his hometown and current place of residence. He graduated with a B.A. from Colby College.

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