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Microsoft’s Copilot Health: A Recipe for Medical Privacy Disaster

Microsoft’s announcement that Copilot will now dispense medical guidance is a wake-up call for every American who still believes Big Tech respects private life and public safety. The new Copilot Health capability lets users combine electronic health records, lab results and data from wearables to generate personalized health insights — a powerful-sounding promise that hands unprecedented amounts of sensitive medical data to a corporate giant.

Make no mistake: Microsoft’s glossy assurances about encryption and separating health chats from other Copilot conversations do not erase the enormous risks of centralizing our medical histories in a profit-seeking cloud. The company claims these conversations will be encrypted and siloed, but Americans should not have to take corporate word alone when our most intimate information is at stake.

We’ve already seen worrying evidence that these systems can be dangerous when they cross into clinical territory. Independent reporting and research have flagged cases where AI-generated medical suggestions could cause moderate to severe harm, highlighting that LLMs are not medical professionals and can hallucinate confidently. That is not a theoretical worry — it is a real-world hazard that ought to make regulators and consumers cautious.

This is also a competition problem dressed up as progress. OpenAI and Amazon are racing into healthcare chatbots, too, which turns patient care into yet another battleground for the tech oligopoly instead of a sober, regulated public-service domain. When Silicon Valley treats diagnosis and treatment like product features, the winners will be shareholders, not patients.

Hospitals and health systems are already partnering with Microsoft on related clinical tools, which should make us ask harder questions about liability and oversight before these systems become de facto clinical decision-makers. Deploying AI assistants in hospitals without ironclad accountability and transparent validation protocols risks shifting blame from institutions and clinicians to opaque algorithms.

We need common-sense safeguards, not corporate promises: Congress should demand transparent audits, independent safety testing, limits on data sharing, and clear lines of liability if an AI-driven recommendation harms a patient. Microsoft points to existing safeguards in its Azure health tooling, but voluntary measures are not sufficient when lives and livelihoods are on the line. Americans deserve statutory protections that put patients first, not boardrooms.

Hardworking families should be skeptical of shiny tech headlines that masquerade as health breakthroughs. Seek a real doctor’s judgment, demand hard evidence of safety, and insist that any use of AI in medicine be governed by law, not marketing. If we fail to hold Big Tech accountable now, the consequences for privacy, safety and medical integrity will be on every American’s doorstep.

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