Transcript Highlights:

• In generative AI, they’re programs capable of generating original content—so text, photos, audio, video
• of AI systems, deployers of AI systems, and then also have protections for consumers more generally
• We've also seen interest in the use of generative AI in elections.
• AI is very general purpose.
• AI has become extremely general purpose.

Keywords: 908, all

Transcript Highlights:

• > AI<00:39:17.440> is about generative Ai and generative AI is about generative Ai and generative
• So AI from the ... how this um generative AI can assist in how this um generative AI can assist in helping
• from AI or generate generated from shown from AI or generate generated from AI<00:47:12.200> does
• , generative AI, as a tool.
• /c><01:22:07.760> generation support Ai and AI um model generation support Ai and AI um model

Keywords: 910, house, all

Transcript Highlights:

• An AI, generative AI, can produce an image, text, code, or audio based on that prompt.
• In generative AI, they're programs capable of generating original content—text, photos, audio, video,
• AI is very general purpose.
• AI has become extremely general purpose.
• AI solutions. ...and we're continuing to develop capabilities in additional generative AI solutions.

Summary: The committee held its first meeting on artificial intelligence and data centers, established a quorum, and heard introductory remarks from Majority Leader Hogue and the chair about the committee’s charge. Members said the goal was to build a factual foundation on AI, hear from experts and stakeholders, and develop practical North Dakota-focused recommendations rather than simply produce a large volume of bills. Legislative Council also reviewed interim committee rules and procedures before the informational presentations began. Staff and NCSL presenters then gave overviews of AI concepts and the state and federal policy landscape. The background memo and presentations covered AI categories and terms, state laws in areas such as consumer protection, algorithmic discrimination, deepfakes, chatbots, children’s safety, health, education, and government use, as well as data center siting and economic impacts. NCSL described a growing number of AI bills introduced and enacted across the states, with comprehensive laws in places like Utah, Colorado, Texas, California, and Illinois, and noted recurring issues around transparency, privacy, liability, and protections for minors. A major focus of the discussion was federal preemption and the tension between state regulation and national AI policy. NCSL said a recent White House executive order and related federal framework seek a light-touch, innovation-friendly national standard, with possible challenges to state laws and possible funding conditions tied to compliance, though no broad federal preemption has yet been enacted. Members asked about Commerce Clause concerns, industry pushback, oversight models, and whether AI policy is bipartisan; presenters said the issue cuts across party lines, with broad agreement on child safety and deepfake restrictions but more disagreement on broader regulatory approaches. No votes or formal actions were taken at the meeting, and the committee recessed briefly for technical issues during the second presentation.

Transcript Highlights:

• So you can see an example here, futuristic city at sunset, and so an AI, generative AI, can produce an
• In generative AI, they're programs capable of generating original content—text, photos, audio, video,
• of AI systems, deployers of AI systems, and then also have protections for consumers more generally
• AI is very general purpose.
• AI has become extremely general purpose.

Summary: The committee held its first meeting on artificial intelligence and data centers, establishing its purpose as a study and policy-development body rather than one aimed at producing many bills. Majority Leader Hogue urged members to move quickly, focus on federal and other states’ AI laws, consider possible federal preemption, child protections, and the siting and economic impacts of data centers. Committee leadership echoed that the goal is practical, balanced governance that protects North Dakota while allowing innovation to continue. Legislative Council staff provided a background memo and NCSL presented a detailed overview of AI concepts and the current state legislative landscape. The presentations distinguished narrow AI, generative AI, agentic AI, and theoretical AGI/ASI, and summarized major state policy themes: comprehensive AI laws in states such as Utah, Colorado, Texas, California, and Illinois; targeted laws on deepfakes, chatbots, health, education, notifications, and digital likeness; and growing use of appropriations and agency inventories. Members asked about Colorado’s repeal and reenactment, Texas’s sandbox and training provisions, oversight structures, and whether AI regulation is bipartisan; presenters said most issues cut across party lines, with broad agreement on child safety and deepfakes but more division on broader regulatory approaches. The federal update focused on executive orders, preemption, and congressional activity. NCSL described a White House framework favoring a single federal standard, a DOJ litigation task force, Commerce Department review of state laws, and possible funding conditions tied to state AI policy, though no formal state-law challenge had yet occurred. The presentation also covered a recent executive order creating a voluntary federal vetting process for advanced frontier models after safety concerns, and congressional proposals including a failed 10-year state moratorium, Senator Blackburn’s child-safety bills, the Kids Online Safety Act, a House-passed children’s digital safety package, a Senate data center moratorium proposal, and a House ratepayer/data-center bill. The committee took no formal action beyond receiving testimony and asking questions.

Transcript Highlights:

• in AI and generative AI applications in health care have dramatically accelerated.
• But we're at a turning point with generative AI.
• Google's advanced AI and gen AI models can unlock the potential of health information, generating novel
• And we look very closely at the accuracy of these AI-generated notes.
• Using generative AI, we can actually... ...it can save lives and avoid waste.

Summary: The joint informational hearing of the Assembly Health and Privacy Committees focused on generative AI in health care, with opening remarks emphasizing both its potential to improve care and its risks around privacy, bias, liability, workforce impacts, and unequal access. Chair Bauer-Kahan and Chair Bonta framed the discussion around how California can encourage beneficial innovation while protecting patients, especially given the sensitivity of health data and the possibility that AI could worsen existing disparities if not carefully governed. The first panel featured representatives from Cedars-Sinai, Kaiser Permanente, Penguin AI, and Google, who described current uses of AI such as ambient clinical scribes, nursing documentation tools, imaging triage, maternal-fetal risk prediction, and administrative automation. Speakers said these tools can reduce clinician burden, improve patient experience, speed treatment, and in some cases improve outcomes, including a reported mortality benefit from a Kaiser predictive model and faster thrombectomy times at Cedars-Sinai. Members raised concerns about accuracy with accents and multilingual visits, whether predictive tools could reinforce bias or lead to more interventions such as C-sections, and how to ensure a human remains in the loop for important decisions. The second panel, including representatives from the California Health Care Foundation, UC Berkeley, and Stanford, focused on policy and governance challenges. Testimony highlighted examples of AI supporting homelessness outreach and community health work, but also warned that biased algorithms can encode inequities, especially when trained on data that reflect under-treatment of Black, rural, or low-income patients. Witnesses urged clearer standards for trustworthy AI, stronger monitoring and governance structures, better data access for accountability, and attention to the safety net’s limited resources. Several speakers argued that states should require health systems to have AI governance processes, clarify liability between developers and deployers, and regulate downstream uses of AI while preserving access to data for lifesaving research and oversight.

Transcript Highlights:

• UNFORTUNATELY, CONSUMERS ARE GENERALLY NOT MADE AWARE THAT AI HAS BEEN USED TO UNDERWRITE THEIR COVERAGE
• THE RISE OF GENERATIVE AI IS A GAME CHANGER. NOT ABOUT IMPROVING PROCESSES THAT REIMAGINING THEM.
• SULLIVAN MENTIONED, GENERATIVE AI. MAYBE THE TECH PERSON WILL TELL US A LITTLE BIT MORE ABOUT THIS.
• GENERATIVE AI.
• WERE THOSE DENIALS THAT WERE REVIEWED BY AI OR JUST FILES IN GENERAL THAT WERE REVIEWED BY AI?

Transcript Highlights:

• One of my major concerns with AI in general, not One of my major concerns with AI in general, not in
• technology—not generative AI, but AI technology.
• clarity and verify results from generative AI tools.
• brain function as when students wrote prior to generative AI.
• You see some of the programs that we're currently using that have AI and generative AI.

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:

• > yeah<00:14:44.959> chair about AI versus generative AI yeah chair about AI versus generative
• <00:15:42.440> AI from that is that so this generative AI from that is that so this generative
• <01:21:18.880> AI colar uh uh jobs um this generative AI colar uh uh jobs um this generative
• <01:26:07.520> or so with generative AI we can generate or so with generative AI we can generate
• <01:26:14.360> Ai million developers with generative Ai million developers with generative

Keywords: 1187, senate, all

Transcript Highlights:

• and of generative AI uh technology and of generative AI uh technology and around<00:02:09.360>
• everything um from you know generative everything um from you know generative AI<00:03:22.000>
• that is uh the gener the AI revolution. that is uh the gener the AI revolution.
• > which of AI generated content is which of AI generated content is which includes<00:18:39.120
• 00:23:33.679> retrieval generative AI called um uh retrieval generative AI called um uh retrieval

Keywords: 1183, house

Transcript Highlights:

• We talked a lot then about generative AI.
• We have to remember that anything asked, uploaded, generated, or created by AI or generative AI potentially
• generative AI platform.
• informed of AI advancements and its capability and evolve. using AI to generate, or deep fake AI in this
• generative AI platform.

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:

• One of my major concerns with AI in general, not Address it.
• , with the exception of district educational tools that incorporate AI technology—not generative AI,
• clarity and verify results from generative AI tools.
• Now using generative AI, one of the tools we use with our teachers is how can you use AI at each one
• You see some of the programs that we're currently using that have AI and generative AI.

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:

• A GENERATIVE AI TOOLS CAN PERFORM SOME TASKS AT LESS EXPENSE AND WITH GREATER ETHICS THAN HUMAN WORKERS
• TWO YEARS BACK EVERYONE WAS TALKING ABOUT CHAT GPT, GENERATIVE AI AND ALL.
• AND I MEAN, FOR EXAMPLE, IN MANY CASES THE FULL CONTEXT IS A DIVISION OF GENERATIVE AI.
• AND AS I SAID EARLIER THAT THE WORLD WILL NOT STAY STAGNANT A GENERATIVE AI.
• JUST USING THE COPY AND PASTE KNOWLEDGE OF GENERATIVE AI WILL NOT MAKE THE CUT.

Transcript Highlights:

• We know the generative AI moment is here.
• AI being a technology, uh generative AI being a primary<00:09:54.680> medium<00:09:55.080>
• AI moment is So, we know the generative AI moment is here.<00:10:11.520> This<00:10:11.760>
• in and susceptibility to AI-generated in and susceptibility to AI-generated characters,<00:44:42.440
• um,<00:51:02.800> they're general purpose AI chatbots, um, they're general purpose AI chatbots

Keywords: 912, senate, all

Transcript Highlights:

• But at some point, if there's no more music and everything's AI-generated, how is AI learning?
• These reports recognize that AI and generative AI are accelerating change across our innovation sectors
• threat is using generative AI to evaluate educator performance in K-12 classrooms.
• Briefly, I'd ask that legislators think carefully about AI-generated content.
• The bill defines AI-generated content so broadly that it captures common, content.

Keywords: 995, all

Summary: The committee held a hearing on several artificial intelligence bills, opening with remarks about the 9/11 anniversary and then broad statements from the co-chairs about AI’s promise and risks. Chair Farley-Bouvier and Senator Moore emphasized the need for guardrails, transparency, and worker and consumer protections, while Senator Finegold described Senate Bill 37, which would create a framework for AI model training with safety assessments, audits, incident reporting, Attorney General oversight, and workforce reporting. Members also discussed Massachusetts’ position relative to other states and the need for state action in the absence of federal regulation. A large portion of the hearing focused on the Fair Act, House 77 and Senate 35, which would limit workplace surveillance, restrict collection of biometric and location data, require notice and human review for automated employment decisions, and protect workers from retaliation. Labor leaders, including AFL-CIO, AFSCME, AFT, SEIU, building trades, and other worker representatives, testified in support, describing harms from bossware, automated benefits denials, hiring and promotion screening, scheduling, and monitoring in workplaces ranging from health care and education to manufacturing and construction. They argued that AI systems are already affecting wages, benefits, safety, and job security, and that Massachusetts should act now to set clear rules. The committee also heard testimony on House Bill 74, which would require informed consent and clear contract terms for digital replicas of voices and likenesses, with SAG-AFTRA representatives supporting the bill as a protection for performers and creators. Another major topic was Senate Bill 51 on social media algorithm accountability and transparency; child safety advocates, researchers, and a public health expert described harms from engagement-based algorithms, including exposure to harmful content, eating disorders, and youth mental health impacts, and supported independent audits and public reporting. A few industry and civil liberties witnesses supported regulation but urged balance, warning against overly burdensome rules while acknowledging the need for privacy, transparency, and accountability. No votes or final committee actions were taken in the hearing excerpt.

Transcript Highlights:

• The general expert on AI at NCSL is Heather Morton. She unfortunately could not make it here today.
• What it specifically does, it codifies protections for the digital replica generated by AI, extending
• do think that's a fine line to walk, but I think if your parody is effectively an indistinguishable AI-generated
• As I mentioned, Heather Morton is the general expert on AI and sits with her.
• As I mentioned, Heather Morton is the general expert on AI and sits with her.

Keywords: 1182, all

Summary: The Arizona House Advanced Artificial Intelligence and Innovation Committee heard a presentation from Adam Cook Hook of the National Conference of State Legislatures on recent AI policy trends across the states. He described how AI has rapidly become a major legislative issue, with all 50 states plus several territories introducing AI bills in 2025, and noted that states have created AI-focused committees, task forces, inventories, impact assessments, procurement rules, and government pilot projects. Examples discussed included state efforts in Colorado, Kentucky, West Virginia, Hawaii, Arkansas, Ohio, and others, along with NCSL resources such as its AI legislation database and policy toolkit. Much of the discussion focused on deepfakes, elections, and synthetic media. Hook said many states have enacted disclosure requirements or prohibitions for AI-generated political messaging, and have also passed laws addressing sexually explicit deepfakes, nonconsensual intimate images, and commercial use of a person’s likeness, voice, or image. Members asked about the best state approaches to protecting likeness rights, how parody and satire affect deepfake laws, and whether such laws can avoid First Amendment problems. Hook pointed to recent court cases in California and Hawaii that struck down some deepfake laws as overly broad, especially where they lacked parody/satire exceptions or allowed too broad a private right of action. The committee also asked about practical government uses of AI, including retrieval-augmented chatbots used by agencies such as Montana’s Ethics Commission and the Ohio Secretary of State to help answer public questions or guide election officials. Hook said states are pursuing both regulation and innovation, citing comprehensive laws in Colorado, Utah, California, and Texas that combine disclosure, risk assessment, and anti-discrimination requirements with innovation efforts such as sandboxes and state support for AI research. No bills were heard or voted on, and the meeting ended with the chair thanking the presenter and adjourning the committee.

Transcript Highlights:

• Generative AI, which is central to our mission, is capable of creating original content, including text
• Specifically, we would recommend updating existing penal code sections on CSAM to include AI-generated
• By leveraging natural language processing and generative AI, government agencies can deploy chatbots
• You have the Department of Environmental Protection; they're exploring generative AI assistance to use
• I believe I spoke to that earlier, but that's essentially ensuring that all AI-generated audio-visual

Summary: The subcommittee met to hear a panel discussion on artificial intelligence and automation in Florida government. Panelists from Worldwide Technology, OpenAI, the James Madison Institute, and the Florida Digital Service described AI as a tool to improve efficiency, constituent services, fraud detection, translation, HR workflows, public safety, and regulatory review, while emphasizing that AI should supplement rather than replace workers. They also stressed the importance of data readiness, workforce training, governance, and having existing technology systems and policies in place before broader deployment. Members asked about public records concerns, vendor vetting, model integrity, and how to balance innovation with privacy and security. Chief Schoonover said agencies are already using or exploring AI in areas such as Medicaid analysis, environmental data, emergency management, tax forms, and child support, and noted that the Digital Service publishes prohibited vendor and application lists. OpenAI discussed its red teaming, safety evaluations, privacy controls, and government products such as ChatGPT Gov, and said it does not train on personal data or target users with ads. The committee also discussed concrete examples of efficiency gains, including reduced call times, faster translation turnaround, and streamlined HR classification work, as well as concerns about job disruption and constituent access. In closing, members raised data center infrastructure and energy needs, with panelists noting that AI depends on substantial compute, power, cooling, and utility capacity. The chair concluded by encouraging continued dialogue and noting that future AI legislation should be targeted to specific problems rather than overly broad.

Transcript Highlights:

• :59.400> as<00:25:59.520> I and AI generated education courses, as I and AI generated education
• For example, disclosing the use of generative AI.
• It sounds like you're using some real AI other than generative AI?
• So my question is, all this focus is on generative AI, but there's a lot of other AI.
• It sounds like you're using some real AI other than generative AI?

Keywords: 958, all

Summary: The Artificial Intelligence Task Force met and adopted the prior minutes before turning to AI in education. Jeff Gagne of the Southern Regional Education Board described SREB’s Commission on AI in Education, which has organized its work into committees on policy, K-12 instruction, postsecondary instruction, and skills development. He highlighted eight commission recommendations covering statewide AI networks, targeted guidance for different user groups, professional development, standards and curricula, local capacity assessments, risk management, procurement, and AI-ready workforce skills. He also emphasized that states need more specific guidance for students, teachers, faculty, administrators, and parents, and that training is essential because many educators have not been prepared to use AI in instruction. Gagne also summarized two recent SREB reports: one on AI-ready workforce skills and one on AI use in K-12 classrooms. The workforce report recommends embedding AI across standards, strengthening computer science and digital learning standards, collaborating with industry and workforce agencies, building AI competencies into training and upskilling, providing educator professional development, and monitoring readiness. He said the report identifies three skill areas: success skills, industry baseline skills, and technical skills. The classroom guidance report promotes responsible AI adoption, with four pillars focused on increasing cognitive demand, streamlining teaching and administrative work, supporting personalized learning, and developing ethical AI users. He also noted that the report includes an AI procurement tool for school districts. Members thanked Gagne for providing outside examples and resources. One member noted JCPS has an introductory AI professional development offering for educators. Gagne said Kentucky’s David Couch serves on the SREB commission and that the commission’s member list and reports are available on SREB’s website. The committee then heard from Travis Powell of the Council on Postsecondary Education, who said CPE had surveyed campuses and found that Kentucky institutions have broadly embraced AI in teaching, research, student services, and administrative operations. He said all institutions have AI-focused degrees, minors, or courses, and many are integrating AI into general education and across disciplines. Powell also said CPE is considering an AI consortium and that campuses are using AI in research partnerships and applied work, while continuing to focus on ethical and effective use.

Transcript Highlights:

• This is actual, like, generative AI, and these other things are, you know, robotic process automation
• So finally, the December 2025 EO has, I would say, generally had a chilling effect on state AI legislation
• and AI in education, also very important, AI in health care, generative AI, all important topics, all
• and AI in education, also very important, AI in health care, generative AI, all important topics, all
• And one of the things that the AI companies and social media companies more generally are doing is trying

Keywords: Technology and Science, Joint Commission on, 976, house, all

Summary: The commission opened its first 2026 meeting by calling the roll, confirming a quorum, welcoming new members, and reelecting Delegate Cliff Hayes as chair and Senator Barbara Favola as vice chair. Members also adopted the commission’s annual virtual participation policy, which allows remote participation but does not permit virtual attendance to count toward a quorum. The commission then heard an introductory presentation from VITA CIO Mike Watson, who outlined the agency’s mission and structure, including cybersecurity, infrastructure, governance, and procurement. He emphasized VITA’s role in protecting state systems, managing statewide technology contracts, overseeing major contract recompetes, and developing an approach to artificial intelligence that keeps a human in the loop. Members asked about AI executive orders, cybersecurity support for localities, and what the General Assembly could do to help VITA serve state and local partners; Watson stressed the need for clear policy direction, process modernization, and guardrails that allow innovation without reckless deployment. Executive Director Jody Coon presented the 2026 work plan, including a schedule of meetings, a broader focus on science topics, and planned presentations from Virginia Sea Grant, the Hampton Roads Sanitation District, and a health-tech company. She reviewed prior commission recommendations, noted that several AI-related bills were not introduced in 2026 because of the federal executive order, and outlined this year’s studies and deliverables, including workgroups on .gov domains and caller ID accuracy, a study on age verification, a brief on companion chatbots, and a major study on independent verification organizations. The commission discussed whether the AI study would duplicate work by another legislative body and agreed to proceed with coordination and to include best practices and other-state comparisons in resource briefs; the work plan was then adopted. Dr. Kira Allman and Steve Wimmer provided presentations on federal and state AI policy. They described recent White House executive actions, including an executive order and national framework that seek to preempt burdensome state AI laws, and explained how those actions have chilled some state legislation, especially where BEAD broadband funding could be affected. They also reviewed how different states have responded—some pulling back, others moving ahead with AI bills on chatbots, deepfakes, transparency, and child protections—and suggested Virginia focus on carve-outs, state-specific applicability, regulatory sandboxes, and coordination with other states. Members debated the balance between innovation and guardrails, the risks of federal retaliation, and the need to protect children and address AI harms while avoiding unnecessary conflict with federal policy.

Transcript Highlights:

• protects voters and candidates from AI protects voters and candidates from AI generated<00:04:52.240
• <00:04:59.160> generated clear disclosures when AI generated clear disclosures when AI generated
• generated to cast a claiming it is AI generated to cast a serious<00:13:55.399> chill<00:13:55.800
• If you're going to use an AI-generated audio or video, you just say it's AI-generated.
• Audio or video that you just say it's AI-generated. That is it.

Keywords: Meeting Start 00:00 Roll Call 00:36 SB 4 Discussion 01:16 SB 4 Vote 28:30 SB 130 Discussion 31:18 SB 130 Discussion 36:02, 958, all

Summary: The committee first took up Senate Bill 4, as amended by a committee substitute, which would create a state artificial intelligence governance framework for Kentucky government agencies and address AI-generated misinformation in campaigns and elections. The bill’s sponsors said it is intended to regulate only state government use of AI, not the private sector, and would require oversight by the Office of Technology, agency reporting, and annual reporting to the General Assembly. They also said the elections provisions were narrowed to focus on AI-generated audio and video, remove image disclosures, eliminate prior restraint and monetary damages, and rely on disclosure requirements modeled on laws they said had survived constitutional review in Texas. Testimony on SB 4 was mixed. Supporters emphasized transparency, human accountability, and the need to prepare state government for rapidly changing AI tools, citing possible uses such as fraud detection, inmate classification, and transportation planning. An opponent from the Foundation for Individual Rights and Expression argued the bill would burden core political speech, create First Amendment problems, and invite litigation and abuse, especially in the election context. Members asked about litigation, constitutional concerns, costs, and whether the bill should be expanded later to cover ordinary citizens harmed by AI-generated content. Several members expressed support but noted reservations about the election sections or the need for future amendments. After discussion, the committee voted on SB 4 and reported it favorably. The roll call showed the measure passing with favorable expression, with some members explaining votes as supportive but cautious, and one member initially passing before later recording a yes vote. The chair then moved to Senate Bill 130, and Senator Scott Maiden and Kentucky Retail Federation representative Shannon Stiglets began presenting it as a response to gift card scams and theft of redemption information, describing recent large-scale supermarket fraud cases in Kentucky and saying the problem is tied to broader organized retail crime.

Transcript Highlights:

• is a very general.
• We're looking at the integration of AI use into our general education program as we look to revamp that
• and then use AI as an assistive technology and then develop AI tools.
• So not just use AI, but think about using AI.
• Also, not banning AI, because when we think about it, AI is everywhere.

Summary: The committee spent much of the meeting hearing presentations on student mental health supports at Central Washington University, Washington State University, the University of Washington, and the State Board of Community and Technical Colleges. CWU described high levels of student distress, loneliness, anxiety, depression, suicidal ideation, and basic-needs insecurity, along with a campus-wide holistic well-being model that includes behavioral intervention teams, emergency aid, peer outreach, community partnerships, and a collegiate recovery community. WSU emphasized loneliness, common presenting concerns such as anxiety, depression, PTSD, and relationship distress, and the role of housing and residence life, resident advisors, living-learning communities, and coordinated crisis response in identifying and supporting students. UW highlighted prevention and support programs through LiveWell, including alcohol and other drug consultations, confidential advocacy, suicide intervention, student needs navigation, peer health educators, and peer wellness coaches. The community and technical college system reported persistent access barriers, especially for students ages 18 to 24 and those facing housing or food insecurity, and said the legislature-funded mental health pilot at four colleges expanded counseling access, telehealth, and referral pathways, while broader system efforts focus on awareness, telehealth, basic-needs supports, and workforce training in behavioral health fields. Members asked each panel how they gather student feedback, and the institutions said they use surveys, evaluations, and ongoing outreach to students in services. Questions also focused on substance-use and recovery resources, Greek life outreach, and whether colleges have enough licensed mental health staff versus academic advisors; the community college board said not all colleges have licensed mental health providers on staff, and some rely on community contracts or telehealth. The committee also discussed whether counseling services are increasing because of post-pandemic effects or because students are more willing to seek help, with presenters saying both factors likely play a role. The committee then shifted to artificial intelligence in higher education. Washington State University, the University of Washington, Western Washington University, and the community and technical college system described campus AI task forces, governance structures, and efforts to set policies for students, faculty, and staff. Presenters said institutions are requiring course-level AI use statements, promoting ethical and transparent use, expanding access to approved tools such as Microsoft Copilot, and using AI for teaching, research, advising, and administrative support while guarding privacy, equity, and academic integrity. Members raised concerns about deepfakes, bias, student monitoring, and whether AI should be used to screen applications or evaluate student work; presenters said human review remains essential and that some institutions prohibit AI use in hiring or admissions screening. The final presentation, from OSPI, described the statewide rollout of the School Links high school and beyond plan platform under 2023 legislation, saying it will standardize career and college planning across K-12, provide better data and student guidance, and connect students to postsecondary pathways and employers; OSPI said the rollout is underway but current funding only extends through June 30, 2026.