From Data Extraction To Collaboration: Building Equitable Artificial Intelligence Partnerships In Community Health

Article by Adrienne Martinez-Hollingsworth et al: “Artificial intelligence (AI) is the latest frontier of health care transformation, promising faster diagnoses, more accurate predictions, and new efficiencies. Yet for many of the nation’s community health centers (CHCs), this excitement carries an uncomfortable echo. Institutions asked to contribute data to power these tools have long memories of being studied, measured, and left behind; histories of extractive practices that consume data assets from public commons to sell products back at a premium. We, as a society, are woefully unprepared from a health policy and data-governance perspective for AI in health care. Without proactive guardrails in place, we risk rebranding yesterday’s extractive practices with today’s code…(More)”