{"id":16314,"date":"2026-03-20T08:59:03","date_gmt":"2026-03-20T15:59:03","guid":{"rendered":"https:\/\/jasonsblog.ddns.net\/?p=16314"},"modified":"2026-03-20T08:59:03","modified_gmt":"2026-03-20T15:59:03","slug":"trump-america-ai-act-repeals-section-230-expands-liability-and-establishes-centralized-federal-control-over-ai-systems","status":"publish","type":"post","link":"https:\/\/jasonsblog.ddns.net\/index.php\/2026\/03\/20\/trump-america-ai-act-repeals-section-230-expands-liability-and-establishes-centralized-federal-control-over-ai-systems\/","title":{"rendered":"‘TRUMP AMERICA AI Act’ Repeals Section 230, Expands Liability, and Establishes Centralized Federal Control Over AI Systems"},"content":{"rendered":"\n

Here’s Trump putting his name on a censorship bill for government control of information within AI all while expanding legal liability for content posted with online social media properties as well. And pay attention to the workforce monitoring and AI risk assessment quarterly reporting. The digital Panopticon is being constructed right before our eyes.<\/p>\n\n\n\n

https:\/\/jonfleetwood.substack.com\/p\/trump-america-ai-act-repeals-section<\/a><\/p>\n\n\n

<\/div><\/div><\/div>\n\n\n
Substack and similar platforms could face legal exposure for user-generated content as Section 230 repeal removes their core liability shield, forcing stricter content control to avoid lawsuits.<\/h5>\n\n\n\n

By Jon Fleetwood<\/p>\n\n\n\n

\"\"\/<\/a>
U.S. President Donald J. Trump (left) and Senator Marsha Blackburn (R-TN; right)<\/figcaption><\/figure>\n\n\n\n

U.S. Senator Marsha Blackburn<\/a> has released<\/a> a 291-page legislative framework that would repeal Section 230, expand liability across the artificial intelligence ecosystem, and establish a unified federal rulebook governing how AI systems are built, deployed, and controlled in the United States.<\/p>\n\n\n\n

The proposal\u2014titled the TRUMP AMERICA AI Act<\/a><\/em>\u2014is being presented as a pro-innovation, pro-safety measure designed to \u201cprotect children, creators, conservatives, and communities\u201d while ensuring U.S. dominance in the global AI race.<\/p>\n\n\n\n

But the actual structure of the bill reveals a comprehensive system that centralizes regulatory authority, expands legal exposure for platforms, and creates new mechanisms for controlling AI outputs and digital information flows.<\/p>\n\n\n\n

For independent journalists and publishers operating on platforms like Substack, the repeal of Section 230 shifts the risk upstream.<\/p>\n\n\n\n

Platforms would no longer be shielded from liability tied to user-generated content, meaning they must evaluate whether hosting certain reporting could expose them to lawsuits.<\/p>\n\n\n\n

In practice, that creates pressure to restrict or deprioritize content that could be framed as causing harm\u2014particularly reporting on public health, government programs, or other high-stakes issues\u2014regardless of whether it is sourced or accurate.<\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

Section 230 Repeal Removes Core Liability Shield<\/h3>\n\n\n\n

At the center of the bill is the full repeal of Section 230 of the Communications Act<\/a>\u2014long considered the legal foundation of the modern internet.<\/p>\n\n\n\n

Section 230 protects online platforms like Substack from being treated as the publisher of user-generated content, shielding them from most civil liability over what users post.<\/p>\n\n\n\n

The Blackburn framework would eliminate that protection by repealing Section 230 entirely.<\/p>\n\n\n\n

In its place, the bill creates multiple new avenues for liability, allowing enforcement not just by federal regulators, but by state attorneys general and private actors.<\/p>\n\n\n\n

Platforms and AI developers could face legal action for \u201cdefective design,\u201d \u201cfailure to warn,\u201d or producing systems deemed \u201cunreasonably dangerous.\u201d<\/p>\n\n\n\n

The practical effect is that once liability protections are removed, platforms are no longer free to host content neutrally.<\/p>\n\n\n\n

They must actively manage and restrict content\u2014or risk being sued.<\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

\u2018Duty of Care\u2019 Standard Introduces Subjective Enforcement Trigger<\/h3>\n\n\n\n

The bill imposes a \u201cduty of care\u201d requirement on AI developers, mandating that they prevent \u201creasonably foreseeable harms\u201d arising from their systems.<\/p>\n\n\n\n

That language is broad and undefined.<\/p>\n\n\n\n

What qualifies as \u201charm,\u201d what is \u201cforeseeable,\u201d and when an AI system is considered a \u201ccontributing factor\u201d are not fixed standards.<\/p>\n\n\n\n

They are determined after the fact by regulators, courts, and litigants.<\/p>\n\n\n\n

This creates a retroactive enforcement model where AI outputs can be judged unlawful based on evolving interpretations, forcing companies to preemptively restrict what their systems are allowed to generate.<\/p>\n\n\n\n

Federal \u2018One Rulebook\u2019 Replaces State-Level Variation<\/h3>\n\n\n\n

Blackburn\u2019s framework repeatedly emphasizes the need to eliminate what she calls a \u201cpatchwork of state laws\u201d and replace it with a single national standard.<\/p>\n\n\n\n

That shift consolidates authority at the federal level, empowering agencies such as the Federal Trade Commission, Department of Justice, National Institute of Standards and Technology (NIST), and Department of Energy to define and enforce AI rules across the country.<\/p>\n\n\n\n

Rather than multiple local jurisdictions experimenting with different approaches, the bill establishes a centralized governance model for AI systems.<\/p>\n\n\n\n

Algorithmic Systems & Content Delivery Brought Under Regulation<\/h3>\n\n\n\n

Under the \u201cProtecting Children\u201d provisions, the bill directly targets the design features of digital platforms, including:<\/p>\n\n\n\n

    \n
  • Personalized recommendation systems<\/li>\n\n\n\n
  • Infinite scrolling and autoplay<\/li>\n\n\n\n
  • Notifications and engagement incentives<\/li>\n<\/ul>\n\n\n\n

    Platforms would be required to modify or restrict these features to prevent harms such as anxiety, depression, and \u201ccompulsive usage.\u201d<\/p>\n\n\n\n

    This is not limited to content moderation.<\/p>\n\n\n\n

    It regulates how information is ranked, delivered, and amplified\u2014placing core algorithmic systems under federal oversight.<\/p>\n\n\n\n

    Watermarking & Content Provenance Standards Introduced<\/h3>\n\n\n\n

    The bill directs NIST to develop national standards for:<\/p>\n\n\n\n

      \n
    • Content provenance (tracking origin of digital content)<\/li>\n\n\n\n
    • Watermarking of AI-generated media<\/li>\n\n\n\n
    • Detection of synthetic or modified content<\/li>\n<\/ul>\n\n\n\n

      It also requires AI providers to allow content owners to attach provenance data and prohibits its removal.<\/p>\n\n\n\n

      These provisions create a technical infrastructure for identifying and tracking the origin and authenticity of digital content across platforms.<\/p>\n\n\n\n

      New Copyright & Likeness Liability for AI Training and Outputs<\/h3>\n\n\n\n

      The framework explicitly states that using copyrighted material to train AI models does not qualify as fair use, opening the door for widespread litigation against AI developers.<\/p>\n\n\n\n

      It also establishes liability for the unauthorized use of an individual\u2019s voice or likeness in AI-generated content, and extends that liability to platforms that host such material if they are aware it was not authorized.<\/p>\n\n\n\n

      Together, these provisions expand legal exposure across both the training and deployment phases of AI systems.<\/p>\n\n\n\n

      Mandatory Workforce Surveillance & AI Risk Monitoring<\/h3>\n\n\n\n

      The bill requires companies to report quarterly data on AI-related job impacts, including layoffs, hiring shifts, and positions eliminated due to automation.<\/p>\n\n\n\n

      It also establishes a federal \u201cAdvanced Artificial Intelligence Evaluation Program\u201d to monitor risks such as:<\/p>\n\n\n\n

        \n
      • Loss-of-control scenarios<\/li>\n\n\n\n
      • Weaponization of AI systems<\/li>\n<\/ul>\n\n\n\n

        These measures create ongoing federal visibility into both the economic and operational effects of AI deployment.<\/p>\n\n\n\n

        National AI Infrastructure & Public-Private Control Systems<\/h3>\n\n\n\n

        The proposal includes the creation of the National Artificial Intelligence Research Resource (NAIRR), a shared infrastructure providing:<\/p>\n\n\n\n

          \n
        • Compute power<\/li>\n\n\n\n
        • Large datasets<\/li>\n\n\n\n
        • Research tools<\/li>\n<\/ul>\n\n\n\n

          This system would be governed through a public-private structure, combining federal agencies and private sector contributors.<\/p>\n\n\n\n

          Control over compute, data access, and infrastructure places the direction of AI development within a centralized framework.<\/p>\n\n\n\n

          Structural Shift: Liability as the Enforcement Mechanism<\/h3>\n\n\n\n

          While the bill is framed as reducing regulatory complexity, its core enforcement mechanism is not deregulation but liability expansion.<\/p>\n\n\n\n

          By removing Section 230 and introducing broad legal exposure, the framework creates a system where platforms and AI developers must continuously assess legal risk tied to content, outputs, and system behavior.<\/p>\n\n\n\n

          That shifts enforcement away from direct government censorship and toward a model where companies self-regulate under constant threat of litigation.<\/p>\n\n\n\n

          Bottom Line<\/h3>\n\n\n\n

          Blackburn\u2019s AI framework restructures the legal conditions under which information is allowed to exist online.<\/p>\n\n\n\n

          By removing Section 230 and expanding liability across platforms, the bill shifts risk away from the speaker and onto the infrastructure that distributes their work.<\/p>\n\n\n\n

          That means companies like Substack are no longer simply hosting content\u2014they are legally exposed to it.<\/p>\n\n\n\n

          In that environment, the question is no longer whether reporting is accurate or sourced, but whether hosting it could trigger legal risk.<\/p>\n\n\n\n

          The predictable result is preemptive restriction: platforms limiting reach, tightening policies, or removing content that could be framed as harmful\u2014especially reporting on public health, government programs, or other high-stakes issues.<\/p>\n\n\n\n

          For independent journalists, the pressure point is distribution.<\/p>\n\n\n\n

          The bill creates a system where controversial or high-impact reporting does not need to be banned outright.<\/p>\n\n\n\n

          It only needs to become too risky for platforms to carry.<\/p>\n\n\n\n

          In effect, control over liability becomes control over visibility.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Here’s Trump putting his name on a censorship bill for government control of information within AI all while expanding legal liability for content posted with online social media properties as well. And pay attention to the workforce monitoring and AI risk assessment quarterly reporting. The digital Panopticon is being constructed right before our eyes. https:\/\/jonfleetwood.substack.com\/p\/trump-america-ai-act-repeals-section […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,7],"tags":[],"class_list":["post-16314","post","type-post","status-publish","format-standard","hentry","category-tech","category-world"],"blocksy_meta":[],"featured_image_src":null,"author_info":{"display_name":"Jason","author_link":"https:\/\/jasonsblog.ddns.net\/index.php\/author\/jturning\/"},"_links":{"self":[{"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/posts\/16314","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/comments?post=16314"}],"version-history":[{"count":1,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/posts\/16314\/revisions"}],"predecessor-version":[{"id":16315,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/posts\/16314\/revisions\/16315"}],"wp:attachment":[{"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/media?parent=16314"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/categories?post=16314"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jasonsblog.ddns.net\/index.php\/wp-json\/wp\/v2\/tags?post=16314"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}