Transcript Highlights:

• things like AI. things like AI.
• embraced AI. embraced AI.
• have an have AI either have AI focused have an have AI either have AI focused degrees<00:25:03.080
• <00:25:34.440> that whether or not AI how AI fits into that whether or not AI how AI fits
• embraced AI. embraced 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:

• AI usage within classrooms.
• I did a lot of research in terms of AI and AI usage within classrooms.
• Using AI effectively.
• They have AI tutors. They have practice exams that are AI generated.
• They have AI tutors. They have practice exams that are AI-generated.

Summary: The meeting began with a report on institutions of higher education for annual certification/solvency, which required no action and was noted as coming later in the week. The main presentation featured students from Arkansas State University, Valley View High School, and the University of Central Arkansas discussing artificial intelligence in education and the workforce. They argued that AI should be taught responsibly in K-12 and higher education to prepare students for jobs, support Arkansas’s growing tech sector, and reduce misuse such as cybercrime, scams, plagiarism, and academic dishonesty. They also cited survey results from teachers showing broad support for responsible AI instruction, district-level management, and teacher training, while noting concerns about critical thinking, ethics, and unequal access. Examples were given of AI already being used at UCA and the University of the Ozarks, and the group suggested a statewide AI library and related training built on the Access Act framework. Committee members asked about student reactions, and the presenters said responses are mixed, especially in the arts, but that AI is already being used in real-world careers and should be integrated with clear standards. The committee then heard from a Pine Bluff community coalition led by Pastor Jesse Turner about school-based outreach and youth support programs. The group described long-running work in Pine Bluff schools and Watson Chapel, including Pass on Patrol, mentoring, anti-bullying and nonviolence efforts, drug and vaping education, gun-violence prevention, and leadership clubs for students. They emphasized that their approach is nonreligious in the schools, focused on encouragement, citizenship, scholarship, and keeping students engaged in class. They also highlighted the use of free curriculum resources on African American history and said they help students see themselves as having promise rather than being “at risk.” Members asked about whether the programs could be shared elsewhere and about impacts on behavior; the group said some materials are trademarked but can be adapted with support, and cited reported reductions in negative behavior and referrals in participating schools. The meeting ended after members praised both the AI presenters and the Pine Bluff outreach group, and the committee adjourned with no votes taken.

Transcript Highlights:

• He said, 'It's AI-driven.'
• But at some point, if there's no more music and everything's AI-generated, how is AI learning?
• AI feeds on data. The Fair Act starts this overdue conversation. AI feeds on data.
• AI cannot teach students how to use or interact with AI as AI... ...continues to exist in the workplace
• I'm an AI attorney with over a decade of experience in the AI bar.

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:

• AI systems.
• by customers of AI systems.
• We want AI to thrive.
• to get paid for AI training.
• To train AI models.

Summary: The Senate Judiciary Committee and Assembly Privacy and Consumer Protection Committee held an informational hearing at Stanford on the intersection of artificial intelligence, copyright, transparency, and California’s creative economy. Chairs and members emphasized that the hearing was not on a specific bill and no vote would be taken. Opening remarks framed the issue as balancing protection for artists and other rights holders with the need to keep AI innovation and related economic activity thriving in California, while noting that federal action is unlikely and that state policy may influence national standards. The first panel featured Professor Pamela Samuelson and Stanford researcher Rishi Bommasani. Samuelson reviewed the current copyright litigation landscape, including dozens of lawsuits over AI training, and explained the fair use framework, the Google Books precedent, and the uncertainty around newer theories such as market dilution. She said states can likely regulate transparency, deepfakes, privacy, and safety, but warned that some proposals may be preempted by federal copyright law. Bommasani described widespread opacity around training data among major California AI companies, discussed AB 2013 and the EU AI Act as transparency models, and identified gaps in disclosure design, enforcement, and whether transparency alone can address copyright and IP concerns. Members asked about open-source models, opt-outs, machine unlearning, user data, and state options for protecting creators. The second panel included SAG-AFTRA board member Jason George, Animation Guild president Danny Lynn, and OpenAI copyright counsel Mark Gray. George and Lynn argued that AI training on performers’ and artists’ work without consent or compensation threatens jobs, bargaining power, and reputations, and they supported stronger transparency and licensing requirements so creators can identify when their work is used. Gray said AI is already being used as a productivity tool and highlighted partnerships between AI companies and publishers, record labels, and studios, while arguing that specific harmful uses such as deepfakes should be regulated directly rather than restricting general-purpose AI development. Committee members discussed labeling and watermarking of AI-generated content, transparency around model use, and whether state law should require more detailed disclosure of training data; no formal action was taken.

Transcript Highlights:

• We'll be covering what state legislatures have committees focused on AI, government uses of AI, recent
• While I know a fair amount about AI, I know a whole lot more about AI as it pertains to elections and
• AI bills in every committee.
• covers AI as well.
• covers AI as well.

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:

• But I did that with AI.
• There wasn't even an AI session. And then the next year there was like an AI session.
• And AI does not think like a human. And AI does not think like a human.
• There wasn't even an AI session. And then the next year there was like an AI session.
• AI is not like that.

Keywords: 1182, all

Summary: The newly formed House Artificial Intelligence and Innovation Committee held its first meeting with member and staff introductions, followed by adoption of the committee rules. Staff explained that the rules mirror House rules, including the chair’s control of the agenda and testimony, and deadlines for amendments and agendas. The committee adopted the rules without objection. The chair then delivered an extended presentation on artificial intelligence, describing AI as a rapidly evolving tool that is already affecting many sectors, including note-taking, media, healthcare, workforce, data centers, and semiconductor manufacturing. He emphasized both the opportunities and risks of AI, including misinformation, deepfakes, job displacement, privacy concerns, and potential misuse by governments, while also highlighting Arizona’s role in chip fabrication, infrastructure, and innovation. He said the committee would meet weekly, hear short presentations from industry and subject-matter experts, and focus on responsible governance that supports innovation without overregulation. Members then shared their perspectives. Several expressed cautious optimism, noting AI’s potential in healthcare, education, public administration, and business, while stressing the need for guardrails, cybersecurity, and human oversight. Members also discussed personal uses of AI tools such as ChatGPT, Grok, and transcription apps, and raised concerns about older adults, children, and people with disabilities being affected by AI-generated content or automation. The chair closed by saying the committee would be bipartisan, Arizona-focused, and likely to consider bills as the session progresses, then adjourned the meeting.

Transcript Highlights:

• AI Bill.
• Then we'll start seeing verticalization of AI. Where will I apply AI?
• With AI, it's the same thing: educating them on what AI means, educating them on what AI safety means
• AI and how you cannot leverage AI.
• by AI.

Transcript Highlights:

• I did a lot of research in terms of AI and AI usage within classrooms.
• They have AI tutors. They have practice exams that are AI-generated.
• With AI, everyone...
• them for the careers that are now using AI and requiring AI.
• AI version.

Summary: The meeting opened with a report on annual solvency certification for institutions of higher education, which required no action and was to be distributed later. The main presentation focused on artificial intelligence in K-12 and higher education, delivered by students from Arkansas State University, the University of Central Arkansas, and Valley View High School. They argued that AI is becoming central to education and the workforce, especially as Arkansas adds major data center investments, and said students should be taught to use AI responsibly so they can compete for jobs, improve internships, and keep talent in-state. They also emphasized concerns about academic integrity, cybercrime, and the need for ethics training and district-level guidance. The presenters shared survey findings from educators in several Arkansas districts, saying most teachers support teaching responsible AI use, believe students without access to AI will be disadvantaged, and want training and district-level management. They described existing AI uses at Arkansas colleges, including AI tutors, AI-generated practice exams, homework feedback tools, and classroom applications in business, climate science, and urban forestry. They also proposed an AI library built on the state’s Access Act infrastructure so K-12 and college students could access shared AI tools and resources across Arkansas. Committee members asked about student attitudes, classroom concerns, and whether AI could help standardize course materials and objectives across institutions. The presenters said reactions among students are mixed, with arts students especially worried about copyright and originality, but that many recognize AI’s real-world value. A UCA representative added that faculty training, ethics discussions, and academic dishonesty guidance are already underway there. The chair thanked the students, noted their work on related research projects, and then moved to a second presentation from Pine Bluff community leaders. The Pine Bluff group described community-based school support efforts, including the Pastors on Patrol program, mentoring, anti-bullying and nonviolence training, drug and vaping education, leadership clubs, and a youth diversion effort for students at risk of detention. They said their work is aimed at improving school climate, encouraging citizenship and scholarship, and reducing negative behavior. Members praised the group’s efforts and asked about expanding the programs to other districts; the presenters said their model and curriculum can be shared and adapted. The meeting ended after the chair thanked both groups and adjourned with no further business.

Transcript Highlights:

• There's a teaching with AI and there's the teaching about AI.
• but AI technology.
• of AI.
• You see some of the programs that we're currently using that have AI and generative AI.
• Every one of our courses will have an AI element inside of them. And all AI is, and Dr.

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:

• . >> As I said, what that means per technology tool is that it's AI-enabled or it's AI-powered varies
• They also apply when using AI.
• tool that it's AI enabled or it's<00:03:11.760> AI<00:03:12.239> powered<00:03:13.120>
• So we knew early on in the Gen AI revolution governance would need to have a unique focus for AI.
• that is uh the gener the AI revolution. that is uh the gener the AI revolution.

Keywords: 1183, house

Transcript Highlights:

• AS A PIONEER IN NURSING AND AI, WE HAVE ALSO PARTNERED WITH COALITION FOR HEALTH AI TO BE THE ONLY NURSING
• THAT'S WHAT WE DO HERE IS NOT TO LEVERAGE AI OR TEACH OUR STUDENTS ALL ABOUT AI AND FORGET ABOUT THE
• BEYOND THE TWO WORDS AI.
• LET'S NOT GO TO THE TWO EXTREMES ABOUT WE ARE SO FEARFUL OF AI THAT WE SHOULD NOT ALLOW AI IN HEALTHCARE
• OF WHAT AI CAN DO FOR ALL OF YOU.

Transcript Highlights:

• and the AI ecosystem.
• AI diagnosis better than humans. AI diagnosis better than humans.
• AI writes and tests all code. I Coders. AI writes and tests all code.
• of AI? of AI?
• <00:58:23.760> in<00:58:24.559> AI know, I mean, Target has an AI in AI know, I mean

Keywords: 1187, senate, all

Transcript Highlights:

• In 2018 and 2019, the top academics who work in AI got together to create the next roadmap for AI.
• This is the—sometimes people will call it generative AI, sometimes people call it Gen AI.
• AI, but he also warned us of some potential challenges around AI.
• , managing ethical issues with AI, and final decision making based upon AI.
• AI final decision making based upon Ai AI final decision making based upon Ai and<01:03:24.559> so

Keywords: 1187, senate, all

Transcript Highlights:

• It is AI.
• These are what are called AI agents. These are what are called AI agents.
• the AI.
• And so the thing is this is also not just an AI that is just arresting AI.
• This is a proactive AI to arresting AI.

Keywords: 958, all

Summary: A presenter from Fast Health Corporation described a proposed Kentucky Health Command System tied to Senate Bill 175, which would create a state-sanctioned AI platform for rural hospitals and telehealth. The company said the system would help rural residents get health information remotely, triage minor issues, and escalate more serious cases to Kentucky providers, with use cases including blood pressure, diabetes, maternity care, smoking cessation, and other preventive-care topics. The presenter argued the system would help rural hospitals compete with out-of-state telehealth companies and keep patients connected to local care. The presentation also emphasized a commercial model the sponsor said would generate new revenue through ads and branded interactions, with the bill reportedly directing 80% of that revenue to rural hospitals and 20% to the state to maintain the system. The presenter said the technology would augment, not replace, doctors and nurses, and claimed it could improve access and convenience in underserved areas. Committee members raised concerns about liability, whether the AI could provide medical advice, and whether there was evidence it had reduced emergency room visits; the presenter said the system could not give medical advice and acknowledged the technology is still very new. The sponsor of the bill said the goal was to help transform rural health care, reduce unnecessary ER use, and capture revenue that would otherwise go to commercial search engines and out-of-state companies. No vote or final action was taken during the portion of the meeting provided, and the discussion ended with questions about branding, loyalty, and the legal limits of the AI system.

Transcript Highlights:

• AIs.
• AIs.
• But the ultimate in terms of AI, I believe, is what I call Enterprise Lab AI.
• to someone who uses AI.
• But with the AI, they're 100%.

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:

• And I hear a lot of optimism about what we can use AI to... Creating this AI.
• AI in China.
• or not using AI.
• So somehow we have to make sure we get AI that is not inferior to the Chinese AIs.
• AI, frontier AI in particular, is still in many ways new technology.

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:

• I was asked to provide an update on OSPI's AI guidance, in addition to the 2025 AI Innovation Summit,
• It defines what AI is and what AI isn't.
• AI is not designed to be a replacement to learning. AI is an enhancement tool to learning.
• , what they need to do to monitor as they're using AI, and where they want to go with AI.
• to do to monitor as they're using AI and where they want to go with AI.

Summary: The committee met to hear an overview of Washington’s alternative learning experience (ALE) programs and then an update on artificial intelligence in schools. OSPI’s Anissa Sherritt explained that ALE is a course-level funding designation for instruction that occurs partly or wholly away from the traditional seat-time model, with online, site-based, and remote course types. She emphasized that ALE is still basic education, subject to the same public school requirements, and that OSPI provides technical assistance, annual reporting review, and program reviews. Representatives from several programs described different models: Washington Virtual Academy (a large online ALE operated through Omak School District and partnered with for-profit Stride), Columbia Virtual Academy in Valley School District (a district-run, nonprofit online/remote program), Pearl in Quilcene (a K-8 remote parent partnership program), and River Home Link in Battleground (a site-based hybrid program). They discussed student supports, special education, enrichment, family choice, transportation, and how they measure outcomes. Members asked for follow-up information on funding, demographics, racial and ethnic data, multilingual learners, and post-graduation outcomes, and OSPI agreed to provide additional data where available. The committee then heard from OSPI and several districts about AI guidance and implementation. OSPI’s Holly Ryan Calloway described the agency’s human-centered AI framework, three guidance documents for schools, statewide professional learning, an AI innovation summit, and new AI literacy and informatics course frameworks and CIP codes. Quincy School District described a multi-year effort to integrate AI by centering student needs, creating district policy and classroom guidance, and training teachers to use AI responsibly while building an AI readiness plan from elementary through high school. Peninsula School District described its AI action research team, teacher professional learning, and classroom uses of generative AI to support science instruction, communication, and prompt engineering, while stressing that AI should enhance rather than replace learning. Members raised questions about privacy, energy and water use, prompt engineering, workforce and university connections, and the need for clear standards and ongoing educator training. No votes were taken.

Transcript Highlights:

• It is established as an AI oversight body responsible for developing AI use standards for state government
• agencies use AI effect efficiently while agencies use AI effect efficiently while maintaining<00
• American citizens to standardize the AI American citizens to standardize the AI governance<00:03
• are being mindful of how we use um AI are being mindful of how we use um AI while<00:04:40.000><
• If you're going to use an AI-generated audio or video, you just say it's AI-generated.

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:

• , build American AI infrastructure, and lead in AI diplomacy and security.
• AI.
• 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
• Thank you. of social media and AI.

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

Transcript Highlights:

• If it was building an AI ready.
• When we say AI ready, an AI first.
• expand access to AI skills.
• AI fields.
• Ai is going to begin to do things for you either because you tell AI to do things for you or because