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Congress Targets Data Brokers: Proposed Bill Bans Selling Health Data from AI Chatbots

data privacy AI chatbots health data data brokers Federal Trade Commission Health and Location Data Protection Act
June 29, 2026
Source: The Verge AI
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Critical Regulatory Intervention
Media Hype 6/10
Real Impact 8/10

Article Summary

Senator Elizabeth Warren and Representative Mary Gay Scanlon have proposed an updated Health and Location Data Protection Act, designed to govern the increasing flow of sensitive personal information into AI systems. This legislation seeks to prohibit data brokers from collecting and selling Americans’ health and location data, specifically covering information voluntarily shared with large language models (LLMs) like ChatGPT or Claude. The bill expands upon previous efforts to address data privacy gaps in the face of AI adoption, which has led to companies encouraging—and sometimes facilitating—the uploading of medical records. If passed, the legislation would empower the Federal Trade Commission (FTC) and state attorneys general to enforce strict rules, providing a necessary federal framework that currently lacks robust oversight.

Key Points

  • The proposed legislation significantly expands data protection by explicitly banning the sale of health and location data derived from interactions with AI chatbots to data brokers.
  • The bill empowers the Federal Trade Commission and state attorneys general to enforce the rules, providing a crucial enforcement mechanism currently missing.
  • The effort highlights the growing regulatory urgency as AI companies encourage users to upload highly sensitive medical information (e.g., MRI scans) to their platforms.

Why It Matters

This legislation tackles one of the most pressing ethical and regulatory gaps in modern AI deployment: the monetization of user-submitted health data. Currently, data privacy for medical data in AI tools largely relies on patchwork corporate policies, leaving users exposed. If enacted, this bill would establish a critical federal baseline, forcing major AI players to assume stricter data stewardship responsibilities and reducing the risk of misuse by private data brokers. Professionals in healthcare technology, compliance, and venture capital must monitor this closely for potential shifts in required data handling protocols.

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