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FTC Purges Khan’s Open-Source AI Advocacy Blog Posts, Raising Compliance Concerns

Artificial Intelligence FTC Open Source AI Regulation California Legislation Government Policy Data Preservation
October 20, 2025
Source: Wired AI
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Article Summary

The Federal Trade Commission (FTC) is undertaking a sweeping effort to remove blog posts and business guidance authored by former Chair Lina Khan, focusing heavily on content related to artificial intelligence. As revealed by the Wayback Machine and reported by WIRED, a substantial number of posts advocating for open-source AI models – including a key blog titled ‘On Open-Weights Foundation Models’ – have been purged from the FTC’s website. The removals, spanning documents like ‘AI and the Risk of Consumer Harm’ and ‘The Luring Test: AI and the engineering of consumer trust,’ demonstrate a clear shift in policy, particularly given the agency's role as a key AI market regulator. Critically, the removals raise serious compliance concerns under the Federal Records Act and the Open Government Data Act, which mandate the preservation and public accessibility of government records. This action comes as the FTC has removed hundreds of posts related to AI, consumer protection, and lawsuits against tech giants. The shift is further compounded by the broader advocacy for open-source AI promoted by advisors within the current administration, including David Sacks and Sriram Krishnan. The motivations behind this systematic removal remain unclear, with the FTC not responding to requests for comment.

Key Points

  • The FTC is systematically removing blog posts authored during Lina Khan’s tenure, primarily those promoting open-source AI models.
  • The removals raise serious compliance concerns under the Federal Records Act and the Open Government Data Act.
  • This shift in policy contradicts previous administration’s support for open-source AI and marks a significant change in the FTC’s regulatory stance.

Why It Matters

This news matters because it highlights a potentially concerning shift in regulatory oversight of the rapidly evolving AI landscape. The FTC's actions, driven by the current administration's preference for open-source models, could significantly influence the development and deployment of AI technologies. Given the substantial impact AI is poised to have on markets and society, understanding the motivations and potential consequences of these removals – and the broader policy direction – is crucial for stakeholders, including tech companies, policymakers, and researchers. The legal and compliance implications are particularly relevant, as the removals raise questions about transparency and accountability in government operations.

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