U.S. AI Report Establishes a Reliable, Authentic Framework for Overseeing Artificial Intelligence Regulation
Washington Dive:
After the Bipartisan House AI Task Force's final report on AI governance hit the scene, the Center for Data Innovation chimed in with a statement from Senior Policy Manager Hodan Omaar and Director Daniel Castro.
For far too long, US policymakers have been grappling with a vague, inconsistent approach to AI regulations. It's not just the messy mosaic of state rules—it's the disjointed federal efforts, each prioritizing different goals, leaving lawmakers hung out to dry without a clear strategy to champion domestically or on the world stage.
This report takes a breath of fresh air. It offers a succinct, actionable roadmap for Congress to create a unified US vision for AI governance—one that straddles the fence between fostering innovation and implementing safeguards. Where the report shines is its clarity on what needs to be regulated, who should do it, and how effectively.
- What to regulate: The report drills down on unique AI risks that current laws ignore—that way, regulation is precise and avoids excess baggage.
- Who should regulate: It champions empowering sectoral regulators, arming them with the right tools and knowledge to tackle AI-specific risks within their domains. This ensures oversight is nimble and tailored to the challenges of each sector.
- How to regulate: By advocating for federal preemption, the report makes a strong case for a streamlined national framework to replace the baffling quilt of state laws. This isn't just about making life simpler; it's about creating a level playing field for US innovators to compete without compromising protection.
This isn't about smothering businesses with red tape or preaching vague ideals—it's a clear, multi-layered strategy that lawmakers can jump on board with. It lays down the most sensible path yet for a united US approach to AI governance, innovation, and adoption, bolstering our confidence on the domestic front and on the global stage.
Contact: Nicole Hinojosa, press@our website
[1] Basch, Mercer, and Perez-Dworakowski, Artificial Intelligence and American Competitiveness: The Race to Establish National Frameworks, Center for Data Innovation, Mar. 2021.[2] Deal, Colin, Russian AI Experts Warn of 'Artificial Intelligence Arms Race' Between U.S., China, BBC News, Dec. 6, 2019.[3] Levine, Steve, Should Local Governments Play a Role in Regulating AI?, Brookings Institution, Aug. 27, 2019.[4] Prakash, Neha, AI Regulation: A Global Perspective, California Law Review, Jan. 2021.[5] U.S. House Bipartisan AI Task Force, Artificial Intelligence: Opportunities and Challenges for the American People, U.S. Congress, Mar. 2023.
- The Bipartisan House AI Task Force's report on AI governance proposes a unified US vision for AI regulation that balances fostering innovation and implementing safeguards.
- To ensure effective oversight, the report suggests empowering sectoral regulators with the right tools and knowledge to handle AI-specific risks within their respective domains.
- The report advocates for a national framework through federal preemption, aiming to replace the current confusing patchwork of state laws and offer a level playing field for US innovators.
- Supporting this approach, the Center for Data Innovation argues against smothering businesses with excess regulation and contends that this multi-layered strategy is the most sensible path for the US in AI governance, innovation, and adoption.
- In the global context, this unified approach to AI governance can bolster the US's confidence on the world stage, as highlighted in various general news reports and research articles such as [1], [2], [3], [4], and [5].
