Regulators, Researchers Take Aim at Bias in AI and Big Data

The rise of artificial intelligence (AI) and machine learning within health care — from clinical decision-making tools to population health stratification efforts — is loaded with potential, but experts warn that embedded data flaws can heighten health disparities and stanch the promise of an equitable playing field for consumers.

As AI-fueled devices and algorithms gain in popularity and practical use, regulators are increasingly taking notice. Multiple agencies, including HHS, the FDA and the Office of the National Coordinator for Health Information Technology (ONC) are quickly adopting regulatory frameworks to address health equity within big data.

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