Transcript Highlights:

• So these RAs plan social programs. They plan educational programs.
• Currently, we have 10 bachelor-level programs, and an 11th program is in the approval process.
• programs, and an 11th program is in the approval process.
• But this is the resources: compute and faculty. Compute was already mentioned.
• Compute and faculty. Compute was already mentioned.

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.

Transcript Highlights:

• So I think the aspiring teacher program, the grow-your-own programs, and other organic programs that
• program um the grow your own programs program um the grow your own programs other<00:08:02.400><
• program to become a dual emer teacher. program to become a dual emer teacher.
• funding for this scholarship program. funding for this scholarship program.
• c> to<01:32:36.159> solve computer using computer science to solve computer using computer

Keywords: 1187, senate, all

Transcript Highlights:

• We have computer science plus biology and computer science.
• computing.
• Not only does the U.S. set first does snow program said on computer science and cybersecurity.
• actions for programs that fall short of those targets in programs do not meet.
• It's 60% of our program.

Transcript Highlights:

• If we look at the Healthy Foods Financing Program, the Trails Plus Grant Program, they're always recurring
• So you have to be able to interface with a quantum computer via a classical computer, which requires
• So the quantum computers, quantum computing companies, sensor companies, and chip-scale atomic clock
• compute and do their work.
• A quantum computer takes about 10 kilowatts.

Bills: SB151, HB8, SB177

Keywords: corporate income tax, franchise tax, gross receipts tax, tax credit, tax deduction, controlled foreign corporation, CFC, bonus depreciation, interest expense, apportionment, unitary group, high-wage jobs tax credit, local journalism, news media, newspaper printer, physician incentive, health care workforce, affordable housing, multifamily housing, construction materials

Transcript Highlights:

• And we're helping students gain program.
• piloting the program five years ago now. piloting the program five years ago now.
• <01:03:49.119> science decide to go into the computer science decide to go into the computer
• We've investing in this pallet program.
• growing the program with your support. growing the program with your support.

Keywords: 958, all

Summary: The Budget Review Subcommittee on Education met without a quorum, so the minutes were not approved. The main presentation was from retired economics professors John Garren and Dr. Kums, who discussed their Bluegrass Institute research on teacher compensation in Kentucky since the Kentucky Education Reform Act era. They said teacher base salaries, adjusted for inflation, have declined over the last decade, while state-paid “on-behalf” benefits such as pension and health insurance contributions have risen sharply; they argued total teacher compensation has increased modestly overall, but less than per-pupil funding. They also presented broader context on staffing growth, declining average daily attendance, Kentucky’s low share of teachers among total school staff, and flat or weak NAEP and ACT performance trends, including widening white-Black score gaps on NAEP. Members questioned the methodology and interpretation of the compensation figures. Representative Bojanowski argued the on-behalf calculations may overstate teacher compensation because they include insurance and pension costs that also benefit classified employees and retirees, and he asked for clarification on the denominator used to derive the per-teacher amount. Representative Truit said the presentation could be misleading if it implies teachers earn $94,000 in salary, and he objected to framing pension stabilization payments as teacher pay. The presenters responded that they were using total compensation, not salary alone, said they had divided total personnel-related on-behalf payments by the relevant staff count, and promised to review and send a technical explanation. Representative Truit and Chairman Typton both emphasized that compensation should be viewed as salary plus benefits, not salary alone, and noted that pension contributions are part of the cost of employing teachers. The presenters said their intent was to show the full compensation package and its relevance to labor supply and teacher shortages, not to claim that individual teachers earn the total compensation figure as salary. No votes or formal actions were taken beyond the decision to revisit the minutes at a later meeting due to the lack of quorum.

Transcript Highlights:

• physics program.
• know about computers.'
• physics program.
• you know about computers.'
• physics program.

Summary: The committee first took up HB 455, a local bill for the City of Lake Wales that would allow open containers in a downtown arts district. The sponsor said the city had invested heavily in the area and wanted to support business growth. An amendment clarified that the allowance was intended for cups, not bottles taken from restaurants, and the bill was then adopted favorably without opposition. Members then heard HB 1049 on building permit requirements, which would remove permits for certain work under $7,500 and for battery or backup power systems, while also preempting local governments from adding extra permitting rules. Two amendments were adopted: one clarifying modular homes on RV lots, and another addressing contractor “splitting” of projects to avoid the threshold and requiring five years of record retention. County and local-government groups raised concerns about inspections and permitting, while several business and advocacy groups supported the bill. It passed favorably. HB 1175, dealing with safety design standards for office surgery suites, was presented as a measure directing the Florida Building Commission and State Fire Marshal to establish new standards to improve safety and efficiency. There was no amendment or public testimony, and it passed favorably. The committee then spent extensive time on HB 221, which would let workers waive the state minimum wage for certain work-based learning, internship, or pre-apprenticeship positions for up to nine months, later narrowed by amendment to 252 days, or 126 days for minors with parental consent, and defining the program as structured learning. Supporters framed it as a way to expand apprenticeships and help small businesses offer training opportunities; opponents argued it would create free or subminimum labor, invite abuse and coercion, and raise constitutional concerns. Despite strong opposition testimony from labor, civil rights, and policy groups, the bill passed favorably after debate. The committee also heard HB 4035, a Palm Beach County local bill requiring applicants for a certificate of competency to pass the licensing exam before applying to the Construction Industry Licensing Board. The sponsor said it would streamline and modernize the process, and members discussed it briefly in support. The transcript ends before the final action on that bill is fully shown.

Transcript Highlights:

• know what the program is doing.
• doesn't know what the program is doing. doesn't know what the program is doing.
• program every possible program is<00:46:59.280> adequately<00:46:59.920> restricted<00
• This computer here is nothing relative to this bill. This computer here is not covered.
• It offers internet access computer.

Keywords: 1189, house, all

Summary: The subcommittee work session focused on House Bill 293, which would prevent minors from accessing obscenity on certain internet-connected electronic devices. Chair Pardell opened by noting the bill had been discussed several times and that the goal was to find language acceptable to the committee. Representative Coutab argued the bill is important for child safety, said parents vary in technical ability, and pointed to Apple as evidence that filtering tools can be implemented. He asked whether the other members saw a path forward and what it might look like. Representatives McFarland and Tur both said they support the underlying concern but questioned the bill’s structure and practicality. McFarland emphasized parental responsibility and individual liberty, said any final language should avoid infringing on rights or creating indirect pressure on corporations, and suggested looking at other states’ approaches and Apple’s closed ecosystem as a limited example. Tur said the bill may solve one problem while creating others, especially by placing the burden on device manufacturers and browsers rather than on the content providers; he cited the recent Texas Paxton decision as an example of a more targeted age-verification approach aimed at websites. Both expressed concern that a broad device-level mandate may be difficult to implement consistently across different platforms. Chair Pardell responded that the bill is intended to add protective measures rather than impose a blanket ban, and compared it to existing restrictions on minors accessing alcohol, tobacco, or pornographic magazines. She said the proposal is meant to ask for the user’s age during device setup, not to require identification or database checks, and stressed that parents would still be responsible for entering accurate information. Members also discussed whether Apple’s tools are generalizable to Android and other ecosystems, whether the market is already developing solutions, and whether a parent-facing filter or device-level controls would be the best route. Pardell said the committee had received public feedback and that another work session would likely be held in October; no vote or final action was taken.

Transcript Highlights:

• number of years. computer science. number of years. computer science.
• It wasn't about computer coding.
• <00:11:42.160> science the stuff related to computer science the stuff related to computer
• computer science specific. computer science specific.
• It wasn't about computer coding.

Keywords: 1136, house, all

Transcript Highlights:

• , assess its capability in the quantum benchmarking program, and integrate emerging computing systems
• You're building a quantum computer. How do we get you here? You're building a quantum computer.
• And we hope very soon to be in a stage C of that program. It's a very tough program.
• programs.
• in the nursing program.

Keywords: 996, all

Transcript Highlights:

• SO PROGRAMS LIKE THIS PROGRAM CAN SERVE THAT DUAL PURPOSE.
• THIS SLIDE IS A SNAPSHOT OF ALL THE PROGRAMS OFFERED BY THE COLLEGE OF AI CYBERSECURITY AND COMPUTING
• NOT ONLY DOES USF OFFER TRADITIONAL DEGREE PROGRAMS ON COMPUTER SCIENCE AND CYBERSECURITY BUT WE ALSO
• HAVE BEEN HAVING AN INTERDISCIPLINARY PROGRAM THAT CUTS ACROSS MAJORS AND CERTIFICATE PROGRAMS AND MICRO
• PROGRAM THAT CUTS ACROSS MAJORS AND CERTIFICATE PROGRAMS AND MICRO CREDENTIALING UPSCALING OPPORTUNITIES

Transcript Highlights:

• . we need three new these new computers. we need three new computers<00:14:03.920> to<00:14:04.160
• And what's the total cost of the program, our inspection program? >> Let's see.
• , program, program, the<00:33:47.600> our<00:33:47.919> inspection<00:33:48.480> program
• the our inspection program? the our inspection program? >> Let's<00:33:49.519> see.
• . program. program.

Keywords: 916, all

Transcript Highlights:

• These are national programs.
• Programming and funding that we are overseeing.
• We have several programs at TO.
• First two programs listed here existed.
• I mentioned that one of our programs is our business assistance program, which started as a pilot last

Transcript Highlights:

• One of them is computing, and computing literally started here in Minnesota.
• you know for a meeting like so Computing you know for a meeting like so Computing is<00:20:07.720
• so already this Confluence of computing so already this Confluence of computing and<00:21:42.400
• The computers came about. They could multiply and add, but now computers can do so, so much more.
• I direct research computing.

Keywords: 1187, senate, all

Transcript Highlights:

• Again, machine learning enables computers to learn without explicitly being programmed, using examples
• Program.
• You would tell the computer how to follow these steps, and that's how computing was done.
• How does that really affect how things are done computably?
• And, you know, I certainly see this right now in, say, programming, where a lot of computers are doing

Keywords: 908, all

Transcript Highlights:

• <00:15:17.720> guided there's these sort of computer guided there's these sort of computer
• <00:36:09.400> and the demands are for for computers and the demands are for for computers
• the housekeeper to be clear the programs the housekeeper to be clear the programs are<01:10:20.679
• <01:15:10.520> as certain entitlement B fit programs as certain entitlement B fit programs
• we all know that there are computer we all know that there are computer models<01:37:51.960>

Keywords: 1187, senate, all

Transcript Highlights:

• or Low-Earth Orbit Destination Program, CLD.
• And it's every program, every grant program, and so on and so forth, and there's no control mechanism
• This is a technology that is going to significant orders of magnitude faster computing. the computing
• We're witnessing revolution in computing.
• One of the big problems with quantum computing is people say quantum computer and there are multiple

Bills: HB3146, HB3719, HB3895, HB3923, HB4748, HB4751, HB4936, HB4952, HB4990, HB4991, HB5061, HB5196, HB5238, HB5246, HB5487

Keywords: State Office of Administrative Hearings, SOAH, administrative hearings, contested case, contested case hearing, administrative law judge, ALJ, final decision, proposed decision, agency hearing, hearing continuance, rescheduling, Texas administrative law, Government Code Chapter 2001, workers' compensation, Department of Human Resources, Texas Labor Code, Transportation Code, Agriculture Code, Insurance Code

Transcript Highlights:

• quantum computer.
• quantum computer.
• quantum computer.
• quantum computer.
• quantum computer.

Keywords: 1183, house

Transcript Highlights:

• from a highly-restricted program.
• Diversion program funding.
• within the state of California and the programs that are served?
• Alejo the the program is administered in 2019-2020.
• Education and prevention are essential to our program.

Keywords: 988, house, all

Transcript Highlights:

• being programmed, using examples and training data.
• Natural language processing and computer vision are tools used by AI.
• It really is a whole different way of viewing how computing works.
• You would tell the computer how to follow these steps, and that's how computing was done.
• I certainly see this right now in programming, where a lot of computers are doing the work of junior

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:

• being programmed, using examples and training data.
• You would tell the computer how to follow these steps, and that's how computing was done.
• So instead of telling the computer exactly what it needs to do, ...instead of telling the computer exactly
• How does that really affect how things are done computably?
• I certainly see this right now in programming, where a lot of computers are doing the work of junior

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.