Transcript Highlights:

• AI is not a therapist.
• We're not saying AI is bad.
• district on safe use of AI with kids. district on safe use of AI with kids.
• You know, a couple years ago we passed a data privacy bill, but that was before AI was, you know, a thing
• What are the limitations of the AI that's being used? How is all the data being used?

Keywords: 958, all

Summary: The committee met with a quorum, approved the prior meeting minutes, and then heard testimony on the use of artificial intelligence in therapy and mental health settings. Representative Lisa Willner and Brenda Rosen of NASW Kentucky argued for “guard rails” on AI chatbots so they cannot present themselves as licensed therapists or replace school counselors, psychologists, or social workers. They said AI can support licensed professionals, but warned that chatbots cannot reliably recognize nonverbal cues, escalate crises, or provide accountable care, and they cited examples of harmful chatbot interactions, including a suicide case and a chatbot telling a user to “Please die.” The witnesses also raised concerns about data privacy, commercialization of sensitive mental health conversations, and the use of personal clinical content to train AI models. They said minors should require parental consent and suggested transparency about how a chatbot is trained and who created it. They distinguished between unvetted consumer chatbots and AI tools that have been scientifically validated or approved as digital therapeutics, noting that some evidence-based tools may be useful for specific conditions such as depression, anxiety, or eating disorders. Committee members asked whether regulation should be handled by the legislature or by professional boards, and whether a multi-state model would be preferable to 50 different state approaches. The witnesses generally favored expert-led standards and said a board or panel of experts could review and approve mental health chatbots, but members cautioned that boards can become too restrictive and that legislation should preserve flexibility and avoid discouraging children from seeking help. The discussion ended with a request for the witnesses to restate their proposed policy ideas, including privacy protections, bans on commercialization, limits on training AI with clinical content, transparency requirements, and informed consent.

Transcript Highlights:

• Our college campuses are community centers in so many ways.
• We have our Center of Excellence at the New Mexico State University, who has AI.
• So, of course, there's data.
• And we know with AI that junior level entry jobs are going away.
• With AI, we're seeing a little bit of a decrease.

Keywords: 996, all

Transcript Highlights:

• For us here in the state, we know we have tremendous energy demands from data centers, from manufacturers
• So that's a lot of data points and information. So that's a lot of data points and information.
• The same infrastructure you saw, those spheres of influence, we wrap those around any type of AI data
• The data that actually feeds into AI systems is a lot of times obfuscated.
• You're literally utilized in multiple areas, analyzing data, especially utilizing AI, different on the

Bills: HB2809

Keywords: cybersecurity, post-quantum encryption, CMMC 2.0, state agencies, data protection, US-based vendors, 1182, all

Summary: The Committee on Science and Technology heard two informational presentations before taking up its only bill, HB 2809. The first presentation, from the University of Arizona, focused on fusion energy research and commercialization. The presenter described fusion as a clean, safe, long-term energy source with major potential for Arizona, emphasized growing U.S. and Chinese investment in the field, and argued that Arizona could become a hub for fusion supply chains, talent, and deployment. Members asked about timelines, regulation, and how fusion might compare with small modular reactors and other energy sources; the presenter said fusion could be commercially deployable in roughly 12 to 15 years if public-private investment continues. The second presentation, from XRDNA, described a spatial-temporal addressing system for physical objects and events, aimed at improving coordination across space, infrastructure, logistics, and defense. The company said it is testing with Space Force and launch providers, uses AI provenance tools, and sees its main near-term use case in logistics and space operations. HB 2809 would require state agencies handling sensitive data, including elections, public safety, benefits, finance, and infrastructure information, to implement post-quantum encryption meeting or exceeding CMMC 2.0 validation, using a U.S.-based vendor and U.S.-developed, manufactured, or maintained components. An amendment clarified that agencies would not be required to connect offline systems to the internet to install encryption, and that agencies could use offline methods such as removable media. The sponsor argued the bill is needed because Arizona’s legacy systems are vulnerable, cited prior cyber incidents and audit findings, and said the bill would secure data even on older systems while keeping the encryption key with the Auditor General. Members generally supported the concept but raised questions about implementation, costs, the Auditor General’s role, and the need for more stakeholder input. No one signed in opposition; the Secretary of State’s office was noted as neutral. The committee adopted the Pingarelli amendment and then passed HB 2809 as amended on a 9-0 vote, giving it a due pass recommendation. Several members explained their yes votes as support for the bill’s goal while emphasizing the need for careful implementation and broader discussion. The meeting then adjourned.

Transcript Highlights:

• The recommendation centers around ongoing legislative oversight.
• So they will look at the data an incoming applicant.
• TYPES OF DATA THAT IT COULD DO IT IN AN AUTOMATED FASHION.
• And I think it's good to have that data to know.
• Center will... Move in. Thank you, Mr. Grant.

Keywords: 1187, senate, all

Transcript Highlights:

• We can get out, instead of collecting different data in 10 different locations, we've got all the data
• Instead of collecting different data in 10 different locations, we've got all the data right here, and
• Number one is AI will be much more efficient than having offices full of people trying to interpret data
• And I think that if it's done right, AI is just... ...data. So that always works better.
• And I think that if it's done right, AI is just priceless.

Keywords: 1204, all

Transcript Highlights:

• Oftentimes, these are AI-operated programs that are pulling data in from all over the internet.
• Of the data centers, all of the industrial uses, all of the Bitcoin mining here.
• Yeah, isn't the UT Health Science Center... has been collecting data. They have.
• That's the data. That's part of the data collection.
• from UT Health Science Center. ...is collecting the data.

Bills: HB24, HB45, HB15, HB35, HB38, HB47, HB318, HB349, HB554, HB1359, HB1373, HB1647, HB2254, HB2259, HB2853, HB3073, HB3088, HB353, HB355, HB786, HB762, HB705, HB932, HB849, HB 1160, HB 1119, HB1612, HB3041, HB713, HB3104, HB3970, HB3962, HB5061, HB4042, HB4115, HB4490, HB1731, HB1705, HB2607, HB3556, HB138, HB3689, HB1788, HB1887, HB1914, HB2402, HB2306, HB1809, HB2350, HB3000, HB3237, HB3326, HB3211, HB 1056, HB2081, HB2187, HB3092, HB3308, HB3526, HB3750, HB3527, HB4219, HB4230, HB4290, HB5238, HB4804, HB4749, HCR6, HCR12, HCR34, HCR50, HCR55, HCR58, HCR70, HCR71, HCR72, HCR74, HCR75, HCR78, HCR80, HCR93, HCR100, HCR107, HCR116, HCR117, HCR90, SB1806, SB783, SB1271, SB326, SB1637, SB769, SB897, SB1035, SB1706, SB1185, SB1194, SB384, SB1426, SB1468, SB1215, SB1066, SB599, SB1930, SB2065, SB767, SB1619, SB1738, HB1500, HB718, HB23, HB34, HB 119, HB 128, HB 130, HB132, HB2756, HB166, HB406, HB186, HB331, HB380, HB1583, HB1584, HB621, HB303, HB552, HB366, HB463, HB 1211, HB1327, HB1461, HB923, HB1760, HB2467, HB5333, HB1592, HB1576, HB1552, HB2018, HB3511, HB1781, HB2013, HB2340, HB2508, HB2970, HB865, HB2851, HB3385, HB3336, HB3309, HB 1127, HB 1232, HB1397, HB4236, HB4041, HB1965, HB2730, HB3698, HB3699, HB163, HB201, HB272, HB405, HB519, HB654, HB694, HB791, HB 1136, HB 1240, HB 1266, HB 1275, HB1437, HB1532, HB1675, HB1842, HB1868, HB1894, HB1943, HB1990, HB2029, HB2061, HB2286, HB2523, HB2622, HB2652, HB2692, HB2842, HB2885, HB3016, HB3096, HB3248, HB3255, HB3479, HB3611, HB3623, HB3803, HB3804, HB3805, HB3806, HB3810, HB3816, HB4129, HB4163, HB4187, HB4238, HB4454, HB4588, HB4643, HB4738, HB4739, HB4945, HB5015, HB5616, HB1749, HB1775, HB 118, HB1762, HB2520, HB24, HB45, HB15, HB35, HB38, HB47, HB318, HB349, HB554, HB1359, HB1373, HB1647, HB2254, HB2259, HB2853, HB3073, HB3088, HB353, HB355, HB786, HB762, HB705, HB932, HB849, HB 1160, HB 1119, HB1612, HB3041, HB713, HB3104, HB3970, HB3962, HB5061, HB4042, HB4115, HB4490, HB1731, HB1705, HB2607, HB3556, HB138, HB3689, HB1788, HB1887, HB1914, HB2402, HB2306, HB1809, HB2350, HB3000, HB3237, HB3326, HB3211, HB 1056, HB2081, HB2187, HB3092, HB3308, HB3526, HB3750, HB3527, HB4219, HB4230, HB4290, HB5238, HB4804, HB4749, HCR6, HCR12, HCR34, HCR50, HCR55, HCR58, HCR70, HCR71, HCR72, HCR74, HCR75, HCR78, HCR80, HCR93, HCR100, HCR107, HCR116, HCR117, HCR90

Keywords: zoning, public notice, local government, residential development, protests, peer support, first responders, mental health, confidentiality, emergency services, information network, health services, client referral, data privacy, disaster preparedness, accreditation, community services, sexual assault, victim rights, forensic examination

Transcript Highlights:

• Data centers are not research facilities.
• So data centers are exempt from this bill.
• It's all the data centers is the anchor, so to speak.
• I'm not against data centers at all.
• I'm curious as to why we Would exclude data centers.

Keywords: 996, all

Transcript Highlights:

• In addition to the mission-critical data centers, there are the AI data centers.
• And so these AI data centers... Have different uptime requirements.
• So you mentioned mission-critical data centers and then AI data centers. Help me.
• And there is a ton of—we talk about AI data centers that can do this.
• AI data centers are really into this.

Bills: HB1951, HB2715, HB3092, HB3237, HB3278, HB3511, HB3592, HB3675, HB3778, HB3782, HB3826, HB3970, HB4016, HB4049, HB4341, HB4344, HB4406, HB4427

Keywords: collective bargaining, public works, government contracts, labor agreements, state funding, removal from office, political subdivisions, local government, judicial proceedings, administrative judicial region, electric transmission, public convenience, landowner consent, utility regulation, energy infrastructure, energy consumption, higher education, governmental entities, sustainability, electricity reduction

Transcript Highlights:

• Let us take a moment to pause and center ourselves.
• The premise of this bill is simple: If it's AI, it has to say it's AI.
• This is not an anti-AI bill.
• It merely means if they're using AI, they have to say they're using AI.
• There are 40 child advocacy centers across Pennsylvania.

Summary: The House convened with prayer, the Pledge of Allegiance, guest recognitions, and a quorum call before moving into committee reports and floor action. Committees reported a number of bills and resolutions, including measures from Local Government, Energy, Health, Judiciary, Appropriations, Rules, and Finance. The chamber also announced caucus and committee meetings, then recessed and later reconvened for final consideration of legislation. Several bills passed the House finally, including House Bill 2299 on body cameras for county probation officers, House Bill 167 designating a scenic byway along Allegheny River Boulevard, House Bill 95 requiring disclosure when content or advertising is generated or substantially modified by artificial intelligence, House Bill 1944 expanding medical amnesty and Good Samaritan protections on campuses, House Bill 2443 creating a child victim recovery fund, House Bill 246 updating references from the Public Welfare Code to the Human Services Code, and House Bill 2586 establishing title protection for music therapists. The House also adopted House Resolution 463 recognizing Korean-American Citizenship Day, House Resolution 499 recognizing Juneteenth Independence Day, and House Resolution 547 directing a study of electronic monitoring as an alternative to incarceration. The House spent significant time on amendments to House Bill 133, which concerns reinstatement of parental rights, and House Bill 138, which addresses parental incarceration and termination of parental rights. Both bills received bipartisan amendments adding guardrails and exceptions, and the amendments were adopted unanimously. The chamber also debated House Bill 2224, the Fair Act, with multiple amendments on utility rates, return on equity, and scope; some amendments were adopted, several tied votes failed, and the bill was left amended for reprinting. House Bill 2544, dealing with school administrators’ rights and negotiations, saw an amendment to allow individual bargaining, but that amendment failed and the bill was agreed to. The session ended with a correction to the record on House Bill 1944, a motion to recommit several bills to Appropriations, and adjournment until June 22, 2026.

Transcript Highlights:

• to study the environmental impact of data centers.
• data centers in the the construction of data centers in the state<00:18:55.919> and<00:18:56.080
• There's a lot of fear about data centers.
• the environmental impact of data centers.
• environmental impact of data centers. environmental impact of data centers.

Keywords: 1189, house, all

Transcript Highlights:

• I'm using AI. And it is happening. Okay, so they are required. I'm using AI.
• Some of my favorite data is our exit survey data over the years.
• Our centers operate wellness centers with gyms.
• Long-term data indicates...
• claims data, and they use AI, data mining techniques, and other really cutting-edge methodologies.

Keywords: 1184, house, all

Transcript Highlights:

• House File 3 is designed specifically to create data that already exists, concentrated into one report
• data that they have and assign values to it so that you can understand when agencies have fulfilled
• directing the Ola to create new data directing the Ola to create new data it's<00:21:48.600>
• > that it's to aggregate existing data that it's to aggregate existing data that they<00:21:50.720
• But how much does it surprise you in today’s AI?

Keywords: 1183, house

Summary: The meeting focused on a package of anti-fraud bills and oversight reforms. House File 3 would direct the Office of Legislative Auditor to compile existing audit and recommendation data into a matrix or numeric score showing how well agencies have implemented past recommendations over a five-year look-back period, with the goal of giving legislators a clearer, more usable accountability tool. Supporters said it would not create new data, only aggregate what already exists, and estimated the bill’s cost at about $240,000. They argued it would help lawmakers identify agencies that repeatedly fail to address waste, fraud, and abuse. House File 2 would require state employees and agencies to immediately report suspected fraud to law enforcement and to legislative committee leaders, require unannounced in-person site visits for grant recipients, and add criminal penalties for failing to carry out those duties. House File 1 would create an independent state Office of Inspector General to investigate fraud in state government, with subpoena power, authority to stop payments, and the ability to share information with other agencies. Speakers said the new office should be independent and nonpartisan, separate from existing agency inspector general functions, and more focused on investigations than the Legislative Auditor. Members also discussed the new fraud and oversight committee, which will meet on Mondays and plans to invite DHS Commissioner Jodi Harpstead to testify. The committee said it will work alongside standing committees, create a whistleblower reporting website, and investigate issues as they arise. In response to questions, Robbins said HF 3 already had a fiscal note and HF 2’s fiscal note was still pending. She also said the committee is considering AI tools to flag irregularities in state programs, and that such tools might have detected problems like those seen in Feeding Our Future.

Transcript Highlights:

• <01:58:56.160> the the chief data and AI officer from the the chief data and AI officer from
• And that what we were hearing from the AI director and the chief data and AI officer was that they needed
• And that what we were hearing from the AI director and the chief data and AI officer was that they needed
• director and the hearing from the AI director and the chief<02:09:49.680> data<02:09:50.000><
• > that chief data and AI officer was that chief data and AI officer was that they<02:09:52.880

Keywords: 926, house, all

Summary: The House opened with a devotional reading for St. Patrick’s Day, followed by the Pledge of Allegiance and the reading of a resignation letter from Representative Hooper of Burlington. The letter said the House environment had changed significantly and that he was resigning before the next cycle, while thanking colleagues and urging bold leadership to address major problems facing Vermonters. Members then received first readings and referrals for a large slate of bills. House bills introduced included measures on tax administration, hunting license fees, emergency management, oath and affirmation language in statutes, judiciary procedures, a Vermont homelessness response continuum, paperwork reduction, public utility subjects, municipal regulation of agriculture, miscellaneous agricultural subjects, and municipal permitting of ground-mounted solar arrays. Senate bills referred to House committees included vocational rehabilitation, home improvement and land improvement fraud, advanced metering infrastructure devices, water quality, and fair employment practices. Several other bills on the notice calendar were also referred to Ways and Means or Appropriations because they affected state revenue or carried appropriations. The House adopted two concurrent resolutions on the consent calendar: HCR 214, honoring Irish-American patriots and their role in American independence, and HCR 220, welcoming the USS Vermont’s namesake visit and designating April 18, 2026 as USS Vermont Day. Members also offered announcements recognizing guests from the USS Vermont and related veterans’ groups, remembering former Representative Ken Harvey, and noting upcoming events such as March Madness pools, the Legislative Cabaret, a Rural Caucus meeting, and a NAMI Walks team. On the floor calendar, H. 723 on posting of land was taken up, amended as recommended by the Committee on Environment, and ordered to third reading on a 10-0-1 committee vote. The House then began second reading of H. 757 on manufactured homes and limited equity cooperatives; committee members described manufactured housing as a key affordable housing option in Vermont and said the bill would clarify how these homes are purchased, titled, taxed, and financed, while reducing costs and improving consistency for homeowners, lenders, and municipalities.

Transcript Highlights:

• And will AI do that?
• We weren’t there; you know, we’re always behind the ball, even with AI. AI.
• The data centers you're seeing have thousands and hundreds of thousands of chips.
• The big Colossus data center that runs Grok and XAI has about 500,000 computer chips in order to try
• I think the main thing again is that at the AI data center in Tennessee, 500,000 GPUs, graphic processing

Transcript Highlights:

• Research Services Center and the Department of Commerce.
• So I don't know that there's good data on that yet.
• I don't think the data...
• I mentioned people-first AI solutions. I tell our staff this is not AI coming for your job.
• Then this partnership with GovStream AI came about.

Summary: The Senate Housing Committee heard presentations on a range of housing finance, permitting, and affordability tools. Chattanooga described its affordable housing PILOT program, which uses a per-unit property tax abatement tied to the rent loss from providing affordable units, with a 15-year term and annual compliance monitoring. Committee members asked about the program’s structure, whether it had been used elsewhere, and who was participating; the presenter said the first mixed-income project would bring 278 units with 42 affordable units and that the model was attracting private market-rate developers. Shoreline then described its MFTE and inclusionary zoning approach, emphasizing that longer tax exemption periods and station-area zoning changes had helped spur development, with most current pipeline projects concentrated near light rail stations. The committee also heard from the Municipal Research Services Center and the Department of Commerce on tax increment financing, proportional impact fees, and permit timelines. Commerce explained that TIF can fund public improvements such as roads, utilities, broadband, and some affordable housing or child care facilities, while proportional impact fee guidance is intended to help jurisdictions charge fees more closely aligned with actual project impacts. On permit timelines, Commerce presented its first annual report under recent law changes, using 2024 as a baseline year and noting that reported timelines were generally longer than statutory goals; members asked about outliers, paper versus electronic processing, and whether back-and-forth between applicants and staff was driving delays. Commerce said it would follow up with more data, including on CHIP funding and permit reform practices. Several local governments then shared permitting process improvements. Auburn reported relatively short review cycles and described its move to fully electronic permitting, internal performance standards, and a stock plan program that speeds review for repeated home designs. Bellevue described an AI permitting pilot with a local startup to help with pre-application questions, document triage, and plan review, aiming to reduce incomplete applications and revision cycles. Seattle presented a pilot for accessory dwelling unit co-development in which a mission-driven partner would help homeowners split lots, finance, build, and manage ADUs, with the homeowner eventually buying out the partner and retaining ownership; committee members asked about rent setting, management fees, and default risk, and staff said they would follow up. The committee also heard brief overviews of community land trusts and limited equity cooperatives as permanent affordability models, with presenters urging continued state and local funding support and policy recognition for these approaches.

Transcript Highlights:

• Center.
• So, then between 2007 and. 2009, the data center services consolidated servers and outsourced state server
• center to the DIR data center.
• TIERS is in a really old data center, the Winters data center. right behind the North Austin complex.
• Um, you know, AI drive thrives on high quality. well-structured and accessible data.

Bills: HB150, HB869, HB876, HB 1043, HB1494, HB1522, HB150

Keywords: cybersecurity, state command, information resources, data protection, incident response, information technology, classification officer, job descriptions, state positions, competency-based, information sharing, government efficiency, public sector, private sector, distributed ledger, title registry, real estate, property liens, pilot program, healthcare

Transcript Highlights:

• Rodney, Western Center on Law and Poverty, in support. Thank you.
• substantive extraction and compilation of data to proceed.
• secure data destruction.
• So they don't own the data. That's what we are.
• I appreciate the work of the Chancellor's AI Council and addressing the fears that AI could replace faculty

Summary: The committee heard several higher education bills. It first approved the consent calendar, which included SB 67 and SB 619. The main discussion centered on SB 437, which would direct the CSU system to develop a fair, evidence-based process for verifying whether someone is a descendant of a person enslaved in the United States, as part of the state’s reparations work. Supporters said the bill fills a gap left by the Reparations Task Force and would create a transparent, credible lineage-verification process; opponents argued genealogy methods already exist, the bill would waste money and delay action, and some raised constitutional concerns. The committee took a vote on SB 437, but the roll was left open after the initial tally showed three ayes and three noes. The committee then heard SB 790, which would allow California to join the interstate reciprocity agreement for online postsecondary education. The author and supporters said the bill would improve consumer protections for California students taking out-of-state online courses and help California institutions compete more effectively by reducing the burden of seeking separate state approvals. Opponents, including University of Phoenix and other groups, argued the bill conflicted with the existing reciprocity framework, could exclude some institutions, and might not actually secure California’s entry into the agreement. The committee voted 3-1 to pass SB 790 as amended to the Business and Professions Committee, with the roll left open. The committee also heard SB 391, which would authorize the Community College Chancellor’s Office to charge fees for research partners seeking access to data. Supporters said the office is absorbing significant unfunded workload from data requests and that fees would help recover costs; opponents, including the California Teachers Association community college association, warned the fees could create barriers for faculty and smaller researchers. Members discussed possible exemptions and implementation details. The committee voted 5-1 to pass SB 391 as amended to the Appropriations Committee, with the roll left open. Finally, the committee heard SB 685, a pilot program to provide cost-of-attendance assistance at four CSU campuses for students who experienced homelessness in high school. Supporters said it would help students cover housing, food, and transportation costs and reduce dropout risk; members asked about eligibility and implementation, and the author explained the bill would use McKinney-Vento homelessness designations and target students at risk of “summer melt” and college homelessness.

Transcript Highlights:

• So we keep it to just infant on centers.
• This mandate only applies in child care centers and only in the centers that receive public funding.
• centers centers and<00:10:33.880> only<00:10:34.360> in<00:10:34.520> the<00:10
• :34.640> centers<00:10:35.480> that<00:10:35.600> receive and only in the centers
• there was an increase in AI-generated there was an increase in AI-generated child<00:13:22.360><

Keywords: 1183, house

Transcript Highlights:

• Our third priority I want to talk to you about is the enterprise data center.
• If you look at data centers, they run anywhere from $6,000 to $7,500 a square foot.
• into those things, so an enterprise data into those things, so an enterprise data center,<01:36:
• Our second request is the Center for AI Excellence and IT Infrastructure.
• <01:48:40.239> center<01:48:40.480> upgrades, UK, but this is data center upgrades,

Keywords: Meeting Start 00:00:00 Attendance Roll Call 00:00:55 Approval of Minutes 00:02:01 Information Items 00:02:10 Review of Executive Branch Agency Plans 00:02:20 A. A. Eastern Kentucky University 00:02:48 B. B. Kentucky Community and Technical College System 00:15:21 C. C. Kentucky State University 00:31:43 D. D. Morehead State University 00:41:44 E. E. Murray State University 01:01:56 F. F. Northern Kentucky University 01:16:09 G. G. University of Kentucky and Hospital 01:25:00 H. H. University of Louisville 01:42:52 I. I. Western Kentucky University 01:56:17, 958, all

Summary: The meeting opened with prayer and the Pledge of Allegiance, followed by a roll call establishing a quorum. The committee then approved the prior meeting’s minutes. Members were reminded to silence cell phones, and the chair noted an informational item on capital plan amendments made by state agencies during the latest revision period before moving to university capital plan presentations. Eastern Kentucky University President David McFaden outlined EKU’s enrollment growth, strong Kentucky student retention, and signature programs in nursing, occupational therapy, criminal justice, education, manufacturing engineering, and aviation. EKU’s main capital priorities were a new health innovation project to support a proposed osteopathic medical program, including a $50 million escrow requirement until accreditation; a collaborative center for health innovation to address outdated health sciences facilities; a $5 million startup request for an air traffic control program; aircraft upgrades for the aviation fleet; and continued asset preservation funding. In response to questions, EKU said roughly 40% of the new health facility would be dedicated to the medical school, with shared simulation space for multiple health programs, and that aviation maintenance needs are currently being met through KCTCS partners but could be expanded if demand grows. KCTCS representatives then described the system’s scale and capital needs, noting service to 107,000 students, extensive dual credit and workforce training, and a network of 342 buildings across 70 campuses. They said prior legislative support, including $277 million in asset preservation and $90 million released for approved projects, had helped with safety, roofs, energy efficiency, and campus security. Their current priorities include about $30 million for systemwide safety and security upgrades, renovations tied to consolidation and footprint reduction under Senate Joint Resolution 179, and broader asset preservation needs estimated at roughly $300 million to $325 million. Members discussed the need to preserve and expand skilled trades training, and KCTCS said its plan includes construction trades and flexible, multiuse facilities that can adapt to changing workforce needs. No votes were taken beyond approval of the minutes, and the presentations concluded with questions and discussion only.

Transcript Highlights:

• Yet, if there's bias data.
• that community center.
• But what I mean by light is that I don't see any of these data aggregation centers—very few in the Southeast
• And also, ma'am, it's only BCSO's data. It doesn't include APD's data as well.
• The other point you started to discuss is the data and the data sharing.