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Coalition Urges Texas Lawmakers Against Heavy-Handed Regulation of AI (TRAIGA)

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A coalition letter from free-market organizations opposing Texas's proposed AI governance legislation (TRAIGA), arguing it would stifle innovation. Relevant to AI safety as it represents industry/libertarian pushback against state-level AI regulation efforts.

Metadata

Importance: 22/100otherprimary source

Summary

A coalition of free-market organizations, including Americans for Tax Reform and Americans for Prosperity, urges Texas legislators to reject the Texas Responsible AI Governance Act (TRAIGA). They argue the bill mirrors restrictive California/Colorado models, imposes burdensome compliance costs, and would harm small businesses and open-source AI development. They advocate instead for a light-touch framework similar to Utah's approach.

Key Points

  • Coalition opposes TRAIGA, arguing it mirrors interventionist AI regulations from California and Colorado that limit innovation and growth.
  • TRAIGA's compliance costs would disproportionately burden small businesses and open-source projects, effectively favoring large tech companies.
  • Colorado's AI law experience is cited as a cautionary tale, with even its governor urging federal standards to avoid conflicting state rules.
  • Coalition recommends Utah's light-touch AI framework as a preferable model emphasizing transparency without stifling innovation.
  • Letter signed by prominent free-market advocates including Grover Norquist and representatives from Americans for Prosperity.

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Coalition Letters, Letters Coalition Urges Texas Lawmakers Against Heavy-Handed Regulation Of AI

 
 
 
 by 
 Adam Thierer 
 Dec 9, 2024 
 
 
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 issues: 
 Artificial Intelligence , State Policy , Technology and Innovation , Texas 
 
 
 
 

 Dear Representative, 

 As you prepare for the upcoming legislative session, we, the undersigned organizations, express our opposition to the draft legislation titled “Texas Responsible AI Governance Act” (TRAIGA). Though well-intentioned, this draft bill imposes restrictive regulations and burdensome compliance costs that risk stifling Texas’s thriving artificial intelligence (AI) sector. Texas has a unique opportunity to be a leader in AI innovation, but TRAIGA’s approach threatens to undermine that potential. It would also be detrimental as a policy framework for other states or the federal government.

 TRAIGA mirrors regulatory models from states like California and Colorado—where interventionist policies limit growth and innovation. Texas has earned its reputation as a magnet for tech companies by championing free markets, limited government, minimal taxation, and personal freedom. Although TRAIGA’s sponsor claims the draft bill will make Texas a “global center of AI,” its compliance demands and penalties are more likely to drive tech investment away and stifle growth, especially among small, local innovators.

 Colorado’s recent experience with AI legislation is instructive. When Colorado enacted its AI law, Gov. Jared Polis immediately expressed concerns, urging Congress to adopt a federal standard to avoid conflicting state regulations. Texas should heed this caution and avoid similar pitfalls that risk undermining AI advancements. Another concern is TRAIGA’s limited open-source protections. By layering on costly compliance obligations, TRAIGA risks making Texas an unwelcoming place for open-source projects, which are foundational to AI innovation.

 This regulatory burden particularly hurts small businesses that lack the resources of larger corporations, effectively favoring “Big Tech” and limiting competition. Further, TRAIGA’s compliance mandates risk expanding bureaucratic layers, adding unnecessary costs without enhancing genuine innovation. Instead, Texas should lead with a minimal framework for current laws to work in AI rather than adding more laws.

 To keep Texas a leader in AI and provide a path for other states and the federal government to follow, we urge lawmakers to consider alternative, balanced models, such as Utah’s light-touch AI framework. This approach emphasizes transparency and accountability wit

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Resource ID: 220e6db6f52cc017