Tag: AI Regulation

  • Budget Bill Enacts 10-Year Moratorium on State AI Regulations

    Budget Bill Enacts 10-Year Moratorium on State AI Regulations

    Key Takeaways

    1. A new clause in the Budget Reconciliation bill would prevent states and local governments from regulating AI for ten years.
    2. The definition of AI in the clause is broad, covering both established algorithms and new generative models, making current state regulations unenforceable.
    3. Supporters believe the moratorium fosters innovation by preventing a patchwork of regulations, while critics argue it protects companies and undermines local protections against discrimination.
    4. The provision aligns with former President Trump’s deregulation efforts and follows lobbying by tech leaders advocating for reduced oversight.
    5. The proposal faces potential opposition in Congress, particularly from Democrats and some Republicans concerned about state rights and regulatory accountability.


    House Energy and Commerce Committee chair Brett Guthrie has added a clause to the draft Budget Reconciliation bill that would prevent states and local governments from “enforcing any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems” for the upcoming decade.

    Broad Definition of AI

    This clause has a wide definition of AI, encompassing both long-established algorithms and newer generative models. If this becomes law, current state regulations—like California’s requirement for disclosure of AI-generated patient communications, its soon-to-come transparency rules for model-training data, and New York City’s bias-audit rule for hiring processes—would not be enforceable.

    Supporters vs. Critics

    Proponents of the moratorium argue that it helps prevent diverse rules that could hinder innovation. On the flip side, opponents view it as a sweeping measure that protects companies from being held accountable and undermines popular local protections against discrimination and lack of transparency.

    Political Context

    This provision is in line with former President Donald Trump’s approach to deregulating AI. It follows significant lobbying efforts by notable tech leaders, such as Elon Musk and venture capitalist Marc Andreessen, who are advisors to the current government. The measure still needs to pass through both houses of Congress, where there is likely to be pushback from Democrats and some Republicans focused on state issues.

    The lobbying supporting this moratorium mirrors a broader push for deregulation in Washington. After reversing Biden-era executive orders aimed at limiting high-risk algorithms, the Trump administration welcomed key tech figures like Elon Musk, former PayPal executive David Sacks, and investor Marc Andreessen into formal advisory positions. Detractors caution that this budget could entrench that agenda for a decade, eliminating state rules on transparency and bias audits that were put in place after well-documented issues in hiring, healthcare, and credit-scoring systems.

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  • OpenAI Reveals Economic Plan for U.S. AI Leadership

    OpenAI Reveals Economic Plan for U.S. AI Leadership

    OpenAI has put forward a strategic plan on Monday, outlining suggestions aimed at ensuring the U.S. remains a leader in artificial intelligence development while adhering to democratic principles.

    The Need for Resources

    In a preface written by Chris Lehane, OpenAI’s Vice President of Global Affairs, the document emphasizes the pressing requirement for the U.S. to secure billions of dollars worth of resources—such as semiconductor chips, extensive data collections, energy, and highly skilled personnel—to keep its competitive edge in AI.

    “Today, while certain nations are pushing AI aside and ignoring its economic benefits, the U.S. administration has the opportunity to pave the way for its AI sector to maintain the nation’s dominance in innovation while safeguarding national security,” Lehane stated in the document.

    Regulatory Concerns

    This proposal comes at a time when there is a growing concern regarding the patchwork of AI regulations being developed across the U.S. This year, nearly 700 AI-related bills have been proposed by state legislators—many of which contradict each other. For instance, the Texas Responsible AI Governance Act enforces strict liability standards for developers of open-source AI models, adding to the confusion.

    Financial Strategies and Security

    The framework highlights a significant infrastructure deficit, pointing out that approximately $175 billion in global investment is ready to be funneled into AI projects. OpenAI warns that if immediate steps aren’t taken to direct these funds into AI ecosystems that reflect democratic values, they may end up supporting initiatives tied to the Chinese Communist Party.

    To address these issues, OpenAI recommends:

    Collaboration for Safety

    The outline proposes a cohesive plan for the U.S. to protect its most sophisticated AI models, placing importance on:

    Public-Private Partnerships

    OpenAI has already initiated several actions aligned with these goals, including:

    The document suggests establishing a coalition of AI firms and federal agencies to identify best practices for collaborating with the national security sector. This partnership would enhance AI system security and provide the government with access to state-of-the-art technology.

    OpenAI characterizes this plan as a “living document” that will adapt as discussions with the U.S. government progress. The organization emphasizes that achieving success necessitates a careful balance between innovation, reasonable safeguards, and a firm commitment to keeping the U.S. at the forefront of AI advancements.

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  • California Extends Time for AI Freedom and Innovation

    California Extends Time for AI Freedom and Innovation

    Last month, California’s state legislature passed the SB 1047: Safe and Secure Innovation for Frontier Artificial Intelligence Models Act. However, it did not clear its final hurdle as Governor Gavin Newsom opted to veto this contentious legislation. The bill aimed to establish safeguards for AI models that incurred costs exceeding $100 million and utilized computational power of at least 10^26 FLOPS. While the bill faced opposition from notable figures such as Meta’s chief AI scientist Yann LeCun, along with executives from Google and OpenAI, it received support from Elon Musk.

    Newsom’s Decision on AI Regulation

    Even though Governor Newsom signed 17 bills concerning GenAI technology in the past month, he decided to halt SB 1047 in its current form. Discussing the future of AI regulation in California, he remarked that

    "We have a responsibility to protect Californians from potentially catastrophic risks of GenAI deployment. We will thoughtfully — and swiftly — work toward a solution that is adaptable to this fast-moving technology and harnesses its potential to advance the public good."

    He acknowledged that while SB 1047 is "well-intentioned," it overlooks critical factors such as the environment in which an AI solution is implemented, the handling of sensitive data, and the nature of decision-making involved. He emphasized that the bill primarily targets the fundamentals of AI systems and concluded that this approach may not effectively shield the public from the potential dangers posed by the technology.

    Reactions and Future Prospects

    In August, Nancy Pelosi described the California AI bill as "well-intentioned but ill-informed" and was among the first to commend Newsom for his decision to terminate the initiative.

    Although a new similar bill is expected to emerge, it will be crafted in collaboration with experts like Fei-Fei Li, Jennifer Tour Chayes, and Tino Cuellar. For those interested in understanding this field better, “Introduction to Generative AI” by Numa Dhamani and Maggie Engler is available on Amazon for $36.99 in Kindle format (currently at a 26% discount), or in paperback for $44.77 (with a 10% discount).