Transcript Highlights:

• From the Minnesota perspective, there's great potential for AI to improve the way we analyze data, to
• , AI to improve the way we analyze data, AI to improve the way we analyze data, to<01:20:29.520><
• It's probably a commission on cybersecurity, data privacy, and now AI.
• centers, or if you want to call it a data center, more like servers in a closet, you know, and paying
• centers, or if you want to call it a data center, more like servers in a closet, you know, and paying

Keywords: 1183, house

Transcript Highlights:

• and data centers.
• and data centers.
• Then it’s getting all of that data into a place where your AI can access it, and then making sure that
• Another question in terms of the data that now is in the AI centers.
• It's dispatchable, and we can use that and look at dynamic cycles, whether they be data centers that

Keywords: 908, all

Transcript Highlights:

• And so it's continuously being trained on data and we don't have any control of that data.
• in that Walled Garden, the district's on that data so that it doesn't go out and like train the AI to
• Google does not want to have that data. They do not on that data.
• Israel mentioned before they were to put the personal data within an opened AI platform. It's gone.
• So is there actual AI coursework that teaches you how to learn AI and actual AI coursework that teaches

Transcript Highlights:

• or data center operators... ...of our national security that data center developers or data center operators
• And the correspondence has evolved from no data center to no data centers.
• Data center map is a tool that includes enterprise-level data centers.
• centers, types of data centers.
• data centers.

Keywords: 1184, house, all

Transcript Highlights:

• , which is our traditional data administration, our data analytics, as well as our data science group
• I liked that on the second slide, he said, AI and data science.
• And we'll talk today about the continued dependency between AI and the data it's trained on and how that
• There's definitely a data privacy risk with AI.
• out where they might locate some of these aggregated data centers, we have a ways to go to be a more

Summary: The committee held a work session focused on technology in government, AI, broadband, and digital equity. Seattle CTO Rob Lloyd described the city’s AI strategy, emphasizing responsible use, privacy, security, community input, and data strategy. He said Seattle is using small pilots and partnerships to test AI for tasks such as public records processing, infrastructure inspection, and permitting, while keeping humans as the final decision-makers. Members asked about bias, liability, training on best practices, labor involvement, and public records; Lloyd said AI should remain an assistant tool, not a replacement for human judgment, and that Seattle is still testing solutions for records requests and permitting. WATech CTO Nick Stow and Deputy Director Mark Quimby discussed the state’s broader AI policy, the generative AI executive order, a sandbox with more than 15 agencies, and use cases including a resident portal, cybersecurity, and wildfire detection. They stressed consent, closed systems, human-centered design, and the need to govern all forms of AI, not just generative AI. Committee members raised concerns about federal data access, labor issues, and wildfire detection effectiveness. Spokane County IT staff described a more restrictive approach to AI, citing privacy, bias, and cyber risks. The county standardized on Microsoft Copilot as its only approved chat-style AI tool, blocked other AI chat platforms, and requires human review of all AI-generated content. They said AI is also being used by criminals for phishing and deepfakes, underscoring the need for strong policy and security controls. The committee also received an update from the Attorney General’s AI Task Force. Yuki Ishizuka said the task force has 19 members and eight subcommittees covering ethics, consumer protection, labor, health care, public safety, education, government efficiency, cybersecurity, and industry/energy. The task force is working toward an interim report due December 1, 2025 and a final report due July 1, 2026, and is reviewing recommendations through public forums and advisory committees. Ishizuka warned that a federal budget reconciliation provision could bar states from enforcing AI regulations for 10 years, and several members voiced support for state authority and asked about possible 2026 legislation. The committee then heard updates on broadband and digital equity. Commerce’s Dave Pringle said the BEAD broadband program is being reshaped by new NTIA guidance, which removed or reduced emphasis on several prior priorities, and Washington is now working under an expedited process to submit its state application by September 4. He noted that no projects have been built yet, that four counties did not receive applications in round two, and that the state is trying to keep applicants engaged through office hours and a shortened review window. The Office of Equity and the Digital Equity Forum reported increased participation, new members, and ongoing outreach to tribal, rural, and underserved communities, while previewing recommendations such as creating an interdepartmental digital equity team and improving data use. Finally, Lumen’s Robert Thoms described private-sector broadband deployment challenges, including permitting, regulation, and the economics of extending fiber, while noting continued investment in overbuild projects, a $30 low-cost service option tied to the former ACP, and work with the state, tribes, and libraries. No votes were taken; the meeting consisted of presentations and member questions.

Transcript Highlights:

• data.
• misuse of data, and overreliance on AI for decision-making.
• I don't want my child's data being used to train the AI models.
• Parents need to know, is AI being used? Is it generative? What's happening to my children's data?
• Parents need to know, is AI being used? Is it generative? What's happening to my children's data?

Summary: The Senate Committee on Education Pre-K through 12 met to hear a panel discussion on artificial intelligence in K-12 education. Dr. Maya Israel of the University of Florida gave an overview of AI literacy, the benefits of AI for personalized learning and teacher support, and the risks involving data privacy, overreliance, hallucinations, and misuse. She described the Florida K-12 AI Task Force, which published statewide guidance in March and is now providing professional development, case studies, surveys, and resources for teachers and families. She also noted that teacher preparation programs and microcredentials are being developed, but there is not yet a statewide baseline standard for teacher AI training. Superintendents Van Ayers of Hillsborough County and Kevin Hendrick of Pinellas County described district policies and implementation efforts. Hillsborough adopted an AI governance policy, created an implementation guide, and set rules barring generative AI use for students in pre-K through 7th grade while allowing limited, teacher-approved use for older students with district-vetted tools. Pinellas emphasized digital responsibility, parent transparency, data-use agreements, and a governance process for approving tools. Both districts said AI is being used for lesson planning, tutoring, reading-level adjustments, scheduling, and other administrative tasks, but they do not yet have reliable evidence that AI is improving academic performance. They also discussed teacher training, stipends, and certification efforts, including partnerships with universities and vendors such as Microsoft, Google, Magic School, and Gemini. Drew Allen of FSU Inspire offered an industry-focused perspective, arguing that AI is not new but that education must adapt more quickly to industry needs. He described Inspire’s workforce and research mission, its AI and robotics training for teachers, and the need to build teacher comfort and confidence through incentives and applied training. Committee members raised concerns about student dependence on AI, academic integrity, mental health, moral decision-making, data privacy, and whether schools should return to more paper-based testing. The panel generally agreed that AI should be used with strong guardrails, human oversight, and a balance between technology use and traditional learning. No legislation was considered, and the meeting ended with a motion to adjourn, which was adopted without objection.

Transcript Highlights:

• I am not anti-data centers.
• We are in a race right now for AI, and the data centers are a critical part of this.
• We know that in the future jobs and so forth are going to revolve more and more around AI and data centers
• We are in a race right now for AI, and the data centers are a critical part of this.
• We know that in the future jobs and so forth are going to revolve more and more around AI and data centers

Keywords: 1183, house

Transcript Highlights:

• Centers, or SBDCs, to assist small businesses in developing AI technologies into their operations.
• The AI for Main Street Act directs Small Business Development Centers, SBDCs, to provide counseling,
• The AI for Main Street Act directs Small Business Development Centers, SBDCs, to provide counseling,
• Considering and adopting AI, the AI WISE Act will direct SBA to create online AI literacy resources for
• CONSIDERING AND ADOPTING AI, THE AI WISE ACT WILL DIRECT SBA TO CREATE ONLINE AI LITERACY RESOURCES FOR

Keywords: U.S. House of Representatives Floor Proceedings on Tuesday, January 20, 2026, 1012, house, all

Transcript Highlights:

• AI then analyzes the data to learn how to devise strategies to neutralize their program target, which
• I also teach at UC Berkeley, and I'm a senior advisor for AI and elections to the Brennan Center.
• I also teach at UC Berkeley, and I'm a senior advisor for AI and elections to the Brennan Center for
• Health care AI is fundamentally different from other uses of AI.
• More importantly, AI promotes health equity by analyzing millions of anonymized data points and providing

Summary: The committee first heard AB 56, which would require social media platforms to display a warning label about potential mental health harms from prolonged use, with amendments shortening the initial warning and allowing immediate access to the platform. The author and supporters, including a parent who lost a daughter to suicide and a therapist, argued that social media contributes to teen anxiety, self-harm, and other harms and that families need clearer public health information. Opponents from tech and civil liberties groups argued the bill would be ineffective, burdensome, and likely unconstitutional, saying it would create warning fatigue and should be replaced by more targeted tools and digital literacy measures. Several members discussed emergency access concerns, language access, and whether the warning should be more actionable; the bill was moved on a 9-0 vote to the Judiciary Committee. The committee then took up AB 358, which would amend CalECPA to allow law enforcement, with the victim’s consent, to inspect certain abandoned tracking or surveillance devices found in a victim’s home, vehicle, or personal property without first obtaining a warrant. The author and a San Diego prosecutor said the bill is narrowly tailored to devices used solely for spying and is intended to help stalking and domestic violence survivors act quickly before evidence is lost. Opponents from EFF and the ACLU warned the bill would weaken warrant protections, create a loophole around CalECPA, and reduce transparency and accountability. Members debated Fourth Amendment issues, abandonment, and the practical need for rapid access; the bill passed the committee on a 9-0 vote to Appropriations. The committee also heard AB 1137, which builds on last year’s CSAM reporting law by allowing any user to report child sexual abuse material, requiring clearer reporting mechanisms, adding human review in some cases, and mandating third-party audits and public reporting. Supporters, including survivor advocates and a parent of a child victim, said the bill would reduce the burden on survivors and improve removal of abusive content. Tech industry opponents said they support the goal but objected to the human-review mandate, public audit disclosures, and enforcement provisions, arguing they could create security risks and compliance burdens. Members generally supported the bill’s intent but raised questions about audit frequency and human review; the bill was moved on call with seven votes at the time of the transcript.

Transcript Highlights:

• , AI to improve the way we analyze data, AI to improve the way we analyze data, to<00:14:17.519><
• includes the person who provided data or input to train a generative AI model, or an employer if the
• AI >> determining who owns the data that's AI generated<00:19:21.919> when<00:19:22.160
• Um, probably it's a commission on cybersecurity, data privacy, and, uh, now AI.
• centers, or if you want to call it a data center, more like servers in a closet, you know, and paying

Keywords: 1183, house

Transcript Highlights:

• You're talking about AI, quantum computing, everything you see in the news right now about data centers
• Data centers is a really good point. We've got to be thoughtful about that.
• You're talking about AI, quantum computing, everything you see in the news right now about data centers
• Data Centers is a really good point. We've got to be thoughtful about that.
• Are we able to take on the water, the electricity, building these data centers, things like that, that

Keywords: 995, all

Summary: The committee held a hearing on Governor Healey’s economic development proposal, H. 5386, also referred to as the Mass Winds Act, focused on global investment, talent, innovation, housing, and business competitiveness. Governor Healey, Secretary of Economic Development Eric Paley, and Secretary of Administration and Finance Matt Gorzkowicz described the bill as a response to federal uncertainty and global competition, building on the 2024 Mass Leads Act. They highlighted proposed investments in a Global Mass initiative, including a $50 million innovation access fund and $20 million for sites to help international companies locate or expand in Massachusetts, along with support for AI, quantum, robotics, defense innovation, climate tech, downtown revitalization, and creative/cultural economy projects. They also emphasized measures to lower business costs, including reducing the LLC filing fee, expanding the small business energy tax exemption, and streamlining housing and development rules. Committee members questioned the administration about non-compete reform, AI and data-center infrastructure, housing affordability, and whether the bill would help retain workers and companies in Massachusetts. The governor and secretaries argued that the non-compete changes would restore the original compromise by requiring any alternative to garden leave to be negotiated at separation, and they said the bill’s housing and workforce provisions are intended to help young workers stay in the state. They also said Massachusetts is already investing in AI training, an AI hub, and energy-related planning, while acknowledging that data-center growth will require careful attention to water, electricity, and ratepayer impacts. Several witnesses testified on specific sections. Northeastern University supported the internship tax credit, saying experiential learning helps students gain jobs and remain in Massachusetts. The Latino Empowerment Advisory Council supported the waiver of redundant English testing for internationally trained nurses, saying it would speed entry into the workforce without lowering clinical standards. Russell Beck opposed the non-compete changes, arguing they would undermine the 2018 compromise and could reduce other forms of employee compensation. The Secretary of the Commonwealth’s office opposed the LLC fee reduction, citing revenue loss and fraud concerns. Municipal and regional groups, including the MMA and the Metro Mayors Coalition, supported site plan review codification and downtown/arts investments, while urging continued municipal input. The AFL-CIO asked for trigger language to preserve labor protections if federal law changes, and business and industry witnesses generally supported the bill’s competitiveness and global investment provisions. No votes were taken; the hearing was informational, with written testimony invited after the meeting.

Transcript Highlights:

• Institute under Biden has now been renamed the Center for AI Standards and Innovation.
• Institute under Biden has now been renamed the Center for AI Standards and Innovation.
• Institute under Biden has now been renamed the Center for AI Standards and Innovation.
• and renamed the Center for AI Standards and renamed the Center for AI Standards and Innovation.<
• energy policy, how that affects economic development, particularly around data centers, because that's

Keywords: Meeting Start - 00:00 Roll Call – 00:34 KY Chamber of Commerce KY Business Perspectives – 01:50 COT Update on SB4 – 27:16 Adjournment – 48:18, 958, all

Summary: The 2025 Artificial Intelligence Task Force met for its first meeting of the year and heard updates on federal AI policy, state implementation of Senate Bill 4, and the business community’s perspective on AI regulation. Co-chairs noted that federal legislation could affect the task force’s work later in the year, but said Kentucky still has significant issues to study, including energy, land use, education, social media, and children’s engagement with AI. The task force had quorum and no votes were taken. Kate Shanks of the Kentucky Chamber said the business community supports continued discussion but favors a federal approach over a patchwork of state laws. She described the Trump administration’s new AI executive order as emphasizing innovation over regulation, noted the pending federal AI action plan, and discussed congressional action including the Take It Down Act and industry-specific changes to existing laws. She warned that state-by-state AI rules could increase costs and burden businesses, and said the Chamber would prefer incremental, flexible policy that avoids conflict with existing law and limits private rights of action. Members asked about uniform model legislation, education uses of AI, and civil liability; Shanks said a model approach could help avoid fragmentation and that liability should generally be handled through consumer-protection-style enforcement rather than broad litigation. The Commonwealth Office of Technology then reported on implementation of SB 4, saying it has worked with industry, agencies, other states, and vendors to build an AI policy framework now in final review. Officials said an AI Governance Committee has been established and will meet in July, and a draft RFP is being prepared to meet the bill’s tracking and documentation requirements. They said no major implementation challenges have been identified so far, but the impact of pending federal rules remains uncertain. Members also discussed the need to educate students and teachers about AI, with one member emphasizing that schools should teach both how to use AI and how to think critically about information online.

Transcript Highlights:

• The use of AI will drive demand for data centers.
• The use of AI will drive demand for data centers. Now, you've probably used AI.
• will drive demand for 2027 the use of AI will drive demand for data data data centers<00:10:39.519><
• <00:43:06.760> center too close to a data center too close to a data center site<00:43:09.119
• centers and AI.

Keywords: 1187, senate, all

Transcript Highlights:

• data.
• misuse of data, and overreliance on AI for decision-making.
• I don’t want my child’s data being used to train the AI models.
• of AI.
• Parents need to know, is AI being used? Is it generative? What's happening to my children's data?

Summary: The Committee on Education Pre-K through 12 held a panel discussion on artificial intelligence in K-12 education. Dr. Maya Israel of the University of Florida gave an overview of AI literacy, emphasizing that AI can support personalized learning, school operations, and teacher efficiency, but also raises concerns about data privacy, overreliance, mental health, and the need for human oversight. She described the Florida K-12 AI Task Force, which has produced guidance on policy, ethics, privacy, cybersecurity, classroom integration, and professional development, and is now working on district surveys, webinars, case studies, and teacher/family resources. Superintendents Van Ayers of Hillsborough County and Kevin Hendrick of Pinellas County described district-level implementation. Hillsborough outlined a governance council, a district AI policy, and an implementation guide; it prohibits generative AI for students below eighth grade, allows limited use for older students with teacher permission and district-vetted tools, and uses models for classroom AI expectations. The district also reported growing student enrollment in AI courses, teacher training through summer academies and quick learns, and pilots with tools such as Magic School and Microsoft Copilot. Pinellas emphasized academic integrity, student data privacy, digital responsibility, and the importance of human interaction in learning; it said state assessments already limit technology use and that districts need clear governance and parent transparency. Committee members asked about whether AI improves academic performance, the risk of student dependence, the possibility of returning to more paper-based testing, and who should set guardrails. Witnesses said reliable achievement data is still limited because the technology is new, though districts reported anecdotal gains in tutoring and early literacy. They also said there is no established statewide baseline for teacher AI training yet, so districts are using professional development, stipends, and partnerships with universities to build capacity. The committee also heard from Drew Andrew of FSU’s Inspire program, who argued that industry is moving faster than schools and that education should focus on teaching how AI works, building teacher confidence, and aligning training with workforce needs. No bills were considered and the meeting ended with a motion to adjourn, which was adopted.

Transcript Highlights:

• So AI surveillance systems that erode our privacy rights through automated monitoring, data inference
• We know in the national data that levels of mistrust of AI are pretty high, and on almost all measures
• This is some data from the Pew Research Center.
• This is some data from the Pew Research Center.
• start the next large language model data center.

Summary: The committee held an informational hearing on AI risks and mitigation, beginning with automated decision systems and then moving to frontier models. The chair emphasized that California has already passed some targeted AI bills, but broader regulation has stalled, and argued that a federal 10-year moratorium on state AI regulation would be reckless. The hearing was framed as a way to distinguish between narrow predictive systems used in areas like hiring, health care, and criminal justice, and more powerful frontier models with broader capabilities and potentially catastrophic risks. On the first panel, Professor Arvind Narayanan described automated decision systems as often relying on historical data that reflects past bias, producing only limited predictive accuracy and sometimes arbitrary or harmful outcomes. He cited examples including welfare fraud, criminal risk tools, hospital discharge estimates, and job-candidate scoring, and said policymakers should require effectiveness standards, explanation, contestability, impact assessments, and public inventories of government systems. Alondra Nelson focused on algorithmic discrimination as a spectrum of harms, including allocative discrimination, surveillance and privacy harms, targeting and profiling, and cultural misrepresentation. She gave examples involving IRS audits, data sold through apps and brokers, facial recognition misidentification, and biased employment and health-care systems, arguing that harms often compound across multiple systems. Cathy O’Neill described her auditing work as building a “cockpit” for AI—identifying who could be harmed, measuring disparities, and setting thresholds for action—and said audits, consent decrees, and public accountability can push companies toward better practices without banning innovation. Members of the committee asked about international competition, especially China, whether AI is more biased than humans, the cost of compliance for businesses, and whether California should move ahead despite federal uncertainty. The panelists said regulation should focus on high-stakes uses rather than all AI, that transparency and third-party auditing can be low-cost or cost-effective, and that good actors are already using impact assessments. They also noted that state-level action in places like Colorado, Connecticut, Utah, New Jersey, and others is helping set standards. The chair and members stressed that the goal is not to stop innovation but to build trust and reduce discrimination in consequential decisions. The second panel turned to frontier models. Joshua Bengio warned that model capabilities are improving rapidly, especially in reasoning and planning, while alignment and safety are not keeping pace. He cited recent research suggesting models can behave deceptively, including attempts to avoid shutdown, fake compliance during training, and even blackmail in simulated scenarios, and said companies must measure and disclose these risks before deployment. The discussion underscored the committee’s broader concern that California should continue leading on AI safety and accountability while preserving beneficial uses of the technology.

Transcript Highlights:

• AIs.
• share our data externally with any data centers whatsoever.
• You don't run out any data from a data center?
• But we'll also be using AI to analyze data and get it in 30 seconds as opposed to weeks, perhaps even
• Chairman, Senate Bill 1786 requires cover providers that use generative AI to add provenance data to

Bills: SB1786

Keywords: artificial intelligence, content verification, provenance data, transparency, digital content, 1182, all

Summary: The committee first heard a presentation from Sonora Quest Laboratories on how the company is using artificial intelligence and innovation in clinical lab work. Testimony emphasized that AI is already being used in digital pathology, cytology, genetics, genomics, predictive analytics, and quality control, with a strong focus on human oversight, validation, and closed, secure systems that keep patient data in-house. Speakers said AI can improve accuracy, speed diagnosis, reduce repeat testing, support precision medicine and pharmacogenomics, and potentially help with rare disease management and drug selection, while also noting the need for governance and safeguards. Members asked questions about accuracy, safeguards, data security, whether AI could reduce repeat specimen collection, expand to other hospital labs, and how AI might affect treatment decisions such as step therapy and pharmacogenomics. The presenters said AI outputs are reviewed by specialists, that the systems are validated and monitored, and that the organization uses a closed ecosystem with no external data sharing. They also discussed future possibilities such as digital twins, earlier cancer detection, and more tailored medication choices, while acknowledging that AI is still developing and must be used carefully. The committee then took up Senate Bill 1786, as amended, which requires covered providers using generative AI to add provenance data to AI-created or significantly modified video, image, or audio content, using methods like watermarking or metadata, with exceptions for minor edits and certain interactive or non-user-generated content. The amendment clarified that identifiable individual information generally cannot be included unless the user opts in, protected trade secrets, and set an effective date of February 1, 2027. After discussion about consumer transparency, scope, and possible legal issues, the committee adopted the amendment and voted 4-2 with one absent to give SB 1786 as amended a do pass recommendation.

Transcript Highlights:

• We included a definition, a CDC Centers for Disease Control definition for chronic health condition and
• and advocates have made to Senate Bill 20, but Blue Cross still has concerns, and those concerns center
• We get about 2,000 calls a year into our resource center on this issue alone.
• We get about 2,000 calls a year into our resource center on this issue alone.
• What we hear in our Resource Center and from the seniors we meet with regularly all across New Mexico

Bills: SB20, SB21, SB166, SB177, SB181, SB189, SM6

Keywords: prior authorization, pharmacy benefits manager, PBM, health insurer, prescription drugs, step therapy, formulary, auto-adjudication, electronic portal, appeals, medical necessity, serious mental illness, mental health, schizophrenia, bipolar disorder, major depression, substance use disorder, addiction treatment, cancer, autoimmune disorder

Transcript Highlights:

• But there is no central data deposit anymore.
• The bill does not eliminate homeless navigation centers.
• data that it shows.
• to public schools versus those centers that are not near.
• Since 1907, the Center for Transforming Lives, formerly the YWCA, has served as the center for transforming

Bills: SB604, SB843, SB1636, SB2395, SB571, SB1224, SB1832, SB2392, SB747, SB2623, SB2624, SB2185

Keywords: bonds, education funding, Texas Permanent School Fund, financial transparency, speculative rating, school funding, deferred maintenance, tax revenue, education budget, school districts, education, finance, Texas Education Code, misconduct, child abuse, educators, investigation, criminal offense, education law, suspension

Transcript Highlights:

• My office has received this data from Austin Police Department as an example.
• . an elementary school without a navigation center in the vicinity.
• Again, the bill does not eliminate homeless navigation centers.
• versus those centers that are not near them.
• Since 1907, the Center for Transforming Lives, formerly the.

Bills: SB604, SB843, SB1636, SB2395, SB571, SB1224, SB1832, SB2392, SB747, SB2623, SB2624, SB2185

Keywords: bonds, education funding, Texas Permanent School Fund, financial transparency, speculative rating, school funding, deferred maintenance, tax revenue, education budget, school districts, education, finance, Texas Education Code, misconduct, child abuse, educators, investigation, criminal offense, education law, suspension

Transcript Highlights:

• bill does not mandate new inter- It simply ensures that Texas policymakers are informed with proper data
• is my honor to be a partner with McPar to package up the new transport vent thousands in our base center
• Be sure that we're using the best available data and making those other meteorologists talk to each other

Bills: HB 13, HB143, HB144, HB145, HB366, HB470, HB805, HB912, HB13, HB143, HB144, HB145

Keywords: emergency communication, infrastructure, first responders, grant program, interoperability, Texas Interoperability Council, local governments, HB 143, Texas Railroad Commission, Public Utility Commission of Texas, Natural Resources Code, oil and gas, well site, surface facility, electrical power line, National Electrical Code, NEC, electrical safety, utility disconnect, service disconnection