Why Lawmakers Want to Ban AI Health Data Sales [Model Behavior]

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Why Lawmakers Want to Ban AI Health Data Sales [Model Behavior]

I'm Nina Park. Welcome to Model Behavior. This program provides an analytical look at the mechanics of artificial intelligence, from the underlying infrastructure to the policy frameworks governing its use. Today is June 29th, 2026, and we are examining the tightening of medical privacy standards and a massive legal challenge from the local press. acting_description: professional, steady, leading speed: 1.0 trailing_silence: 0.3 And I'm Thatcher Collins. We begin with a legislative proposal targeting the data brokers and developers who process sensitive personal information. Earlier today, Senator Elizabeth Warren and Representative Mary Gay Scanlon announced they are introducing an updated version of the Health and Location Data Protection Act. This bill is specifically engineered to address the data-intensive nature of modern generative AI models. acting_description: engaged, grounded, responsive speed: 0.98 trailing_silence: 0.2 The timing is notable, Thatcher. Over the past year, we have observed a rapid pivot by major AI firms into the healthcare sector. In January, OpenAI launched ChatGPT Health, encouraging users to upload medical records and M-R-I scans for analysis. Elon Musk’s xAI made a similar push with Grok. Lawmakers are concerned that this intimate data could be leveraged or sold without the explicit consent required in clinical settings. acting_description: authoritative, measured, clear speed: 1.0 trailing_silence: 0.4 Exactly. While companies like OpenAI and Anthropic state that their healthcare tiers are sandbox-protected or H-I-P-A-A-ready, individual users often fall through the cracks of general privacy policies. Professor Sara Gerke from the University of Illinois has highlighted that the United States lacks a federal framework to prevent the commercialization of this data. This new bill would authorize one billion dollars for the FTC to enforce these protections over the next decade. acting_description: questioning, skeptical, sharp speed: 0.96 trailing_silence: 0.3 Turning to the courts, a substantial legal challenge has emerged against OpenAI and Microsoft. On June 24th, a coalition representing nearly 400 local news organizations filed a lawsuit in Manhattan federal court. As reported by The Next Web, this is the largest copyright case brought by the local press to date. The litigation is led by Richner Communications, representing a diverse array of community-focused publications. acting_description: serious, direct, methodical speed: 1.0 trailing_silence: 0.3 What distinguishes this case, Nina, is the focus on regional reporting. We are talking about titles like the Arkansas Democrat-Gazette and the New York Amsterdam News. The complaint alleges that OpenAI and Microsoft systematically crawled these sites, bypassing paywalls to ingest content for training. The plaintiffs argue that this unauthorized use of their intellectual property directly undermines the economic viability of local reporting. acting_description: inquisitive, precise, focused speed: 0.98 trailing_silence: 0.2 The publishers describe this as a death knell for investigative journalism. Their counsel, Matthew Platkin, points out that while a model can summarize a meeting, it cannot attend one or investigate local corruption. The lawsuit cites Sam Altman’s own testimony before the House of Lords. In that testimony, Altman conceded that it would be impossible to train high-performing models without access to copyrighted material, which the plaintiffs view as an admission. acting_description: grounded, informative, neutral speed: 1.0 trailing_silence: 0.4 The legal strategy relies on the Digital Millennium Copyright Act. The publishers argue that the AI firms did not just take the text

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