AI bias in healthcare systems

Healthcare stakes are life-and-death, necessitating urgent debate on regulation and responsible integration of AI systems. Several documented cases show real-world bias in AI used in healthcare. The ongoing discussion is timely, policy-relevant, and fosters cross-community dialogue among patients, clinicians, and technologists regarding accountability and safeguards. Hospitals used AI to allocate care—and Black patients got lower risk scores than white peers. Untested, unregulated systems can harm. In healthcare, bias isn't abstract; it's a matter of equity and safety.