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George Whitesides (D-CA) and Pat Harrigan (R-NC) introduced the Self-Improving AI Monitoring Act, bipartisan legislation to reduce the risk of superintelligent AI by monitoring how capable frontier AI systems are becoming at conducting AI research and development on their own.\n\nThe largest AI labs are increasingly using their own AI systems to run experiments, write code, and drive research internally, and the most advanced systems at those labs are not always the ones the public sees. Last month,an AI system broke out of its testing environment during an internal evaluation and autonomously compromised a third party’s production systems — an episode no federal agency had advance visibility into. Today, the U.S. government has no reliable way to track how fast these internal capabilities are accelerating, or when they make a sudden, dramatic leap.\n\n“Just in the past few months, we have seen AI systems break out of their testing environments and threaten the security of entire systems,” said Rep. Whitesides. “When you take humans out of the driver’s seat and let machines train machines, small glitches can snowball into major security risks fast. Today, Washington is essentially flying blind on how fast this handoff is happening. This legislation ensures that when frontier labs partner with federal evaluators, we understand who is actually training and improving these models.”\n\n“AI is beginning to play a role not just in solving problems, but in building the next generation of AI itself, and we need to understand what that means before the technology outruns our ability to measure it,” said Congressman Pat Harrigan. “I’m proud to co-lead the Self-Improving AI Monitoring Act to give NIST the visibility it needs to track these capabilities as they develop.”\n\nThe bill responds directly toPacing the Frontier, a July statement signed by more than 1,300 employees of leading AI companies – including CEOs, co-founders, and chief scientists – asking the U.S. government to support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.\n\nThe Self-Improving AI Monitoring Act would:\n\nTrack AI self-improvement by directing Center for AI Standards and Innovation (CAISI) to monitor capability trends, specifically how AI systems autonomously research and develop subsequent AI models to drive scientific breakthroughs.\n\nAdd transparency to government-industry testing agreements by giving federal evaluators the authority to request internal developer metrics on AI-driven development, including estimates and methodologies for work completed without human review.\n\nStandardize autonomous R&D evaluations by ensuring federal pre-deployment evaluations directly test a frontier model’s ability to autonomously conduct AI research and development.\n\n###","url":"https://whitesides.house.gov/2026/08/29/rep-whitesides-introduces-bipartisan-bill-to-reduce-the-risk-of-superintelligent-ai-by-monitoring-self-improving-ai-systems/","published_at":"2026-08-29","ai_topics":["safety","transparency","research","regulation","national_security"],"ai_stance":"support","ai_summary":"Whitesides introduces the Self-Improving AI Monitoring Act to give federal evaluators visibility into frontier labs' automated AI R&D and reduce superintelligence risk.","ai_processed":true,"bill_ids":["f81273d3ca4e5add"],"ai_relevance_score":null,"bill_refs":[{"bill_id":"f81273d3ca4e5add","method":"title"}],"classifier":null},{"id":"de05d35b917fc73c","politician_id":"W000830","type":"press_release","content":"WASHINGTON, D.C. – Today, Reps. George Whitesides (CA-27), April McClain-Delaney (MD-06), and Andrea Salinas (OR-06) introduced the Understanding AI in the Classroom Act. The use of artificial intelligence in the classroom has expanded greatly, yet very little research is being done to understand the real effects it has on students. As teachers and administrators evaluate if and how to permanently integrate AI into their classrooms, more data is needed to understand how it could affect students and their learning. The Understanding AI in the Classroom Act directs the National Science Foundation (NSF) to examine our knowledge of AI’s impact on the classroom and determine what gaps in our understanding need further research.\n\n“Artificial intelligence is already reshaping the way students learn, but without concrete data, it is nearly impossible to create sustainable policies that protect students’ development,” said Rep. Whitesides. “This bill is a step towards increasing our ability to research and understand AI’s role in our children’s education, and what measures we need to implement to make sure schools are deploying technology responsibly.”\n\n“As a mom of four and a longtime advocate for children’s online safety and well-being, it’s vital we study how artificial intelligence can impact our kids’ learning and development before it becomes embedded in their classrooms,” said Rep. McClain-Delaney. “While AI holds great potential, it also poses risks when its impact is not well vetted or understood. Our country owes it to our children to study how integrating AI in schools impacts them cognitively, socio-emotionally, and physically. A few years ago, the Children and Media Research Act (CAMRA) authorized NIH to study the impacts of social media on our kids, and I’m proud to co-lead this similar effort with Rep. Whitesides to ensure innovation in the classroom is guided by science and accountability.”\n\n“AI is already changing how students learn, but we still have serious questions about how it affects their attention, development, and reliance on technology,” said Rep. Salinas. “Parents and teachers deserve clear, evidence-based answers before these tools become even more common in classrooms. The Understanding AI in the Classroom Act takes a practical first step by bringing experts together to identify gaps in the research, without imposing new mandates on schools. We need to understand how AI affects children of different ages and needs so educators can make informed choices that help every student succeed.”\n\nThe Understanding AI in the Classroom Act specifically creates a pathway for NSF to convene experts that can help us to understand what research needs to be done on AI in the classroom, and how it could impact students. It directs NSF to study childrens’:\n\nAttention span and learning independence.\n\nCognitive, social, emotional, or behavioral development.\n\nOver-reliance or undue trust on artificial intelligence.\n\nResponse to AI based on:\n\nAge.\n\nLearning disabilities, English as a Second Language (ESL) learners, and socioeconomic disadvantages.\n\nThe AI’s traits and characteristics, such as over-flattering or praise.\n\n###","url":"https://whitesides.house.gov/2026/08/04/reps-whitesides-mcclain-delaney-and-salinas-introduce-bill-to-help-study-impact-of-artificial-intelligence-in-the-classroom/","published_at":"2026-08-04","ai_topics":["research","children","safety"],"ai_stance":"support","ai_summary":"Whitesides and colleagues introduce a bill directing NSF to study AI's effects on students so schools deploy the technology responsibly, without new mandates.","ai_processed":true,"bill_ids":["dfd9e7f66d300d08"],"ai_relevance_score":null,"bill_refs":[{"bill_id":"dfd9e7f66d300d08","method":"title"}],"classifier":null},{"id":"7645a0edcd99e792","politician_id":"W000830","type":"press_release","content":"Washington, D.C. – Today, Representatives George Whitesides (D-Calif.-27) and Bob Latta (R-Ohio-5) and U.S. Senators Adam Schiff (D-Calif.) and Jim Banks (R-Ind.) are introducing new bipartisan legislation to enhance the ability for AI labs and security researchers to combat distillation attacks from foreign adversaries and other frontier AI risks that pose a national security risk to the U.S.\n\nThe Collaboration on Adversarial Threats and Security Risks Act would allow for increased information sharing between industry and stakeholder groups to share information about AI security threats and coordinate their responses with other model developers. It includes strict guardrails, including protection against anti-competitive behavior, and permits the Attorney General to seek an injunction against non-Federal entities that abuse the exemption.\n\nDuring distillation attacks, foreign labs systematically harvest data from U.S. AI models to produce their own advanced AI models at a fraction of the cost, posing an enormous threat to continued U.S. leadership and investment in developing the most powerful and efficient AI models and staying ahead of foreign competition. With the rise of AI, foreign labs have increasingly attacked proprietary models with millions of queries and use the resulting data to train rival, foreign-based systems, essentially reverse-engineering American technology at a lower cost and with less strain on valuable computational resources.\n\n“As the Representative for a district at the heart of California’s aerospace and technology industry, I’ve seen firsthand how vital American innovation is to our national security. But as AI models grow exponentially more capable, the risk of these systems being exploited or weaponized poses a direct threat to public safety,” said Congressman Whitesides. “By authorizing threat intelligence sharing to defend against hostile foreign attacks, this bipartisan bill prevents our technology from being turned against us. Safeguarding our technological edge isn’t a partisan issue, and I’m proud to help lead this effort to keep America safe.”\n\n“We cannot allow China, or any foreign adversary, to steal American technological advancements in AI, and then weaponize those advances to undermine our own national security,” said Senator Schiff. “The solution we are proposing would protect against AI distillation attacks and other security risks by allowing increased information-sharing among U.S. AI labs to counter the threat of foreign theft. As new AI innovations are developing faster than ever, it’s critical that Republicans and Democrats continue to work together to address potential misuse of AI development by hostile actors at home and abroad.”\n\n“The AI race is one that America can’t afford to lose. Communist China is working every day to steal our technology and close the gap with the United States,” said Senator Banks. “American AI companies must be able to collaboratively defend against our adversaries. This bill gives them the tools to protect America’s technological edge and helps ensure we maintain our competitive edge.”\n\n“Protecting the American people means ensuring the systems they rely on every day, including our hospitals, water systems, and electric grid, remain safe, secure, and reliable,” said Congressman Latta. “Our adversaries are constantly looking for new ways to target our critical infrastructure, and we must make sure we are prepared to respond. This bipartisan legislation, which I am proud to lead alongside Senators Schiff and Banks and Rep. Whitesides will help strengthen collaboration between American companies and ensure that when a threat is identified, we can quickly share information and take action to protect our communities. Our adversaries are working together to undermine us, and we must work together to defend America.”\n\nSpecifically, the Collaboration on Adversarial Threats and Security Risks Act would create a statutory exemption that allows non-Federal ent","url":"https://whitesides.house.gov/2026/07/23/sens-schiff-and-banks-reps-latta-and-whitesides-introduce-bipartisan-bill-to-combat-ai-distillation-and-other-attacks-to-national-se/","published_at":"2026-07-23","ai_topics":["national_security","safety","innovation"],"ai_stance":"mixed","ai_summary":"Whitesides supports legislation enabling AI labs to share threat information to defend against foreign distillation attacks, easing antitrust limits while adding guardrails.","ai_processed":true,"bill_ids":[],"ai_relevance_score":null,"bill_refs":[],"classifier":null}],"donations":[{"id":"4080520261555695567","politician_id":"W000830","donor_name":"ZIEGLER, DANIEL","donor_type":"individual","donor_employer":"ANTHROPIC 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