Our Work

The emergence and increasing use of artificial intelligence and machine learning (AI/ML) in healthcare practice and delivery is being greeted with both optimism and caution. We focus on the nexus of AI/ML and racial disparities in healthcare: an issue that must be addressed if the promise of AI to improve patient care and health outcomes is to be realized in an equitable manner for all populations.

For many years, there has been a collective excitement about using artificial intelligence in healthcare delivery. Still, AI technology is often talked about as if it is science fiction and the future of healthcare. Despite the FDA's approval of more than 500 medical AI systems by July 2022, many experts question if AI is a reality in the medical arena, or if it remains far in the future—and how to overcome the obstacles to adopting the new technologies?

Interactions with wearable devices, smartphones, and social media generate user data, which can reveal sensitive health information. Those data can be used to improve individual and community health, but also raise security and privacy concerns. Given potential benefits alongside substantial privacy risks, it is important to evaluate how consumers view organizations and entities that collect and re-use their personal digital health data. We surveyed US consumers to assess their confidence in sixteen public and private organizations to use their digital health data responsibly.