Transcript Highlights:

• They allow users to communicate with artificial intelligence in a way that simulates human conversation
• <00:25:32.160> The The term artificial intelligence means a machine-based system that can,
• An AI chatbot is a computer program that uses artificial intelligence, particularly natural language
• Um, it's titled *Ensuring a National Policy Framework for Artificial Intelligence*, which proposes a
• Intelligence, which proposes Artificial Intelligence, which proposes a<01:17:35.160> minimally

Keywords: 912, senate, all

Transcript Highlights:

• The rapid advancements in artificial intelligence make these updates not just timely but essential.
• intelligence.
• So I want to give you my personal perspective on how artificial intelligence has impacted my work.
• So I want to give you my personal perspective on how artificial intelligence has impacted my work.
• DBAs at the moment, but this is just an example of how artificial intelligence will rapidly change the

Keywords: 995, all

Summary: The committee opened with procedural guidance for a very large hearing, explaining testimony limits, written testimony procedures, and rules for maintaining order. Members then heard testimony on a wide range of bills, including proposals to define antisemitism using the IHRA definition, regulate facial recognition technology, restrict weaponized robotics and drone use, expand protections for journalists’ confidential sources, address access to decedents’ email accounts, and create or adjust rules around municipal enforcement and animal cruelty fines. Several sponsors and advocates asked for favorable reports, and committee members asked clarifying questions on implementation, costs, and how the bills would interact with existing law. On facial recognition, sponsors and advocates described the technology as a threat to privacy, due process, and civil liberties, and urged adoption of the Special Commission’s recommendations, including warrant requirements, notice to defendants, and limits on untargeted surveillance. Support came from legislators, the ACLU, CDT, EFF, and a UMass professor, while committee members asked about current state law and municipal bans. On robotics, Senator Moore and industry witnesses from MassRobotics, Boston Dynamics, and AUVSI supported a bill prohibiting weaponized robots and requiring warrants for certain law enforcement uses, describing it as a public-safety and trust-building measure. On the shield law bill, newspaper publishers, journalists, NEFAC, and the Reporters Committee argued Massachusetts needs statutory protection for confidential sources, citing costly subpoenas and chilling effects on reporting. The committee also heard testimony on a bill to expand the right of publicity to cover image and voice, with SAG-AFTRA members supporting protections against AI-driven exploitation and some discussion about viral content and consent. Another bill would allow limited access to a decedent’s email accounts, with one witness describing a family’s inability to use a deceased relative’s email to notify friends. The committee then took testimony on psilocybin-related bills: supporters described medical and personal benefits and argued for narrow decriminalization or study, while an opponent warned of public-health risks, impaired driving, and youth exposure; the Massachusetts Psychiatric Society supported limited, safety-based decriminalization. Finally, the committee heard strong support for a “safe reporting” bill for sex workers and trafficking survivors, with advocates saying immunity would encourage victims and witnesses to report crimes without fear of arrest, and members raised questions about how the immunity would work in practice.

Transcript Highlights:

• Artificial intelligence, or AI, is simply a tool.
• That's Senate File 3098, which would prohibit the use of artificial intelligence to dynamically set product
• prohibit the use of artificial prohibit the use of artificial intelligence<00:07:38.360> to
• c><00:07:38.480> dynamically<00:07:39.120> set<00:07:39.440> product intelligence
• to dynamically set product intelligence to dynamically set product prices.<00:07:40.680> So<00

Keywords: 1187, senate, all

Transcript Highlights:

• We've created programs in artificial intelligence.
• programs in artificial created programs in artificial intelligence.<00:04:50.160> We've<00:04
• :50.400> created<00:04:50.720> a<00:04:51.040> military intelligence.
• We've created a military intelligence.
• And as artificial intelligence rapidly expands, our board at its last retreat challenged us ...challenged

Keywords: 958, all

Summary: The House Budget Review Subcommittee on Postsecondary Education met without a quorum and postponed approval of the minutes. The committee first heard from Northern Kentucky University President Katie Short Thompson, who highlighted NKU’s enrollment growth, student success metrics, national recognition for value, lower student debt, and new programs tied to regional workforce needs, including AI, cybersecurity, supply chain analytics, cardiovascular perfusion, and the Norse Network Hub for employer access. She asked for a $5 million recurring base funding adjustment to align NKU’s general fund support with peer institutions, along with support for tuition waivers with FAFSA requirements, continued debt collection authority through the Department of Revenue, inclusion of fire and tornado insurance premiums in base funding, inflation and performance-funding support, and increased asset preservation funding. She also outlined capital priorities for the Hail College of Business building, Nunn Hall, and the MEP building, and requested $5.4 million to match private support for the Young Scholars Academy, a dual-credit program serving first-generation and low-income students. Representative Tipton questioned NKU about the number of older students using tuition waivers and whether the university could continue the program without a statutory age-based mandate. Thompson said the number of students over 65 using the waiver was small, that some students pursue degrees while others audit classes, and that external fundraising could potentially support the program if state funding changed. Tipton also confirmed NKU’s requested priorities and the $5.4 million match for the Young Scholars Academy. The committee then heard from University of Kentucky representative Dr. Cavallo, who framed UK’s request around accountability, workforce development, research, and health care impact. He described a patient story to illustrate UK’s medical mission, cited growth in enrollment, degrees awarded, hospital patients treated, and research grant revenue, and emphasized UK’s role in extension services and disaster response. He said UK is consolidating services for efficiency and is focusing on future workforce needs, especially artificial intelligence, noting the launch of the state’s first AI bachelor’s degree and a partnership with Microsoft to expand AI tools and training across campus and the Advancing Kentucky Together network. He also discussed demographic challenges, the need to retain graduates in Kentucky, and the importance of aligning programs and funding with long-term state needs.

Transcript Highlights:

• We were also asking to use these resources to be able to support a human-services-focused artificial
• intelligence system to allow us to answer client questions when they're calling in right now, 8 to 5,
• Monday through Friday, we try to answer calls, and if an artificial intelligence assistance can move
• c> allow artificial intelligence system to allow artificial intelligence system to allow us<01:37
• <01:37:42.239> artificial the assistance of artificial the assistance of artificial intelligence

Bills: HF1380, HF1166, HF487, HF1553, HF1472, HF258, HF1911

Keywords: psychiatric treatment, human services, mental health funding, per diem rate, Clay County, disability services, assistive technology, remote support, advocacy, training programs, HF487, Wellness in the Woods, Minnesota human services, grant funding, general fund appropriation, peer support, substance use recovery, addiction recovery, reentry services, reentry after incarceration

Transcript Highlights:

• House Bill 455, an act relating to artificial intelligence and declaring an emergency.
• to >> House Bill 455, an act relating to >> House Bill 455, an act relating to artificial
• <00:12:49.360> intelligence<00:12:50.120> and<00:12:50.200> declaring<00:12:50.640
• > an artificial intelligence and declaring an artificial intelligence and declaring an emergency

Keywords: 958, all

Summary: The House convened with 96 members present, approved the prior journal, excused absences, and suspended rules to allow co-sponsorship and vote modifications. The Senate clerk reported passage of Senate Bills 39, 70, 80, 127, and 154 and requested concurrence. The House then took up several bills on third reading. House Bill 168, relating to boating under the influence, was explained as “Keegan’s Law.” The sponsor said it would require law enforcement to seek a search warrant for blood testing of boat operators and improve notification so Fish and Wildlife officers are alerted more quickly after 911 calls involving incidents on waterways. House Committee Substitute 2 was adopted, and the bill passed 88-0. House Bill 455, relating to artificial intelligence and declaring an emergency, was amended by committee substitute and two floor amendments. Supporters said it clarifies that AI may not perform direct therapy, make independent therapeutic decisions, generate treatment plans without professional review, or detect emotions/mental state, while still allowing therapists to use AI as a tool. It passed 88-7. House Bill 185, relating to employment and occupational licensing for people with felony records, was described as allowing applicants to seek licensing before completing education and requiring a clear connection between an offense and the occupation; it passed 95-0. House Bill 249, relating to involuntary commitment, was explained as closing a gap in the law for mentally incompetent defendants accused of felony sex offenses; House Floor Amendment 1 broadened the qualifying offenses to all felony sex offenses under Chapter 510, and the bill passed 94-0. After the floor action, the House received House Bill 1 back from committee for second reading and heard announcements, including committee meeting notices and a birthday recognition. A member also gave a Black history tribute to Garrett A. Morgan, highlighting his inventions and civic contributions. The House introduced a slate of new bills and resolutions, including measures on high-acuity youth medical treatment, data privacy, municipal utility service, tax credits for employers, campaign finance, infantile seizure disorder, commercial surrogacy, dentistry, paid leave for state employees, crimes and punishments, postnuptial agreements, local government, land use, alcoholic beverages, and several resolutions. The Committee on Committees and Rules Committee then reported referrals and posted bills for the next regular orders, floor amendments were introduced, and the House adjourned until 2:00 p.m. Tuesday, February 24, 2026.

Transcript Highlights:

• The other question I have is your take on artificial intelligence—how is that going to play into this
• Artificial intelligence is allowing these criminal elements to operate at scale, where they can— Artificial
• intelligence is allowing these criminal elements to operate at scale, where they can quickly reproduce
• So this artificial intelligence is going to be a big driver for the volume of ads.

Summary: A joint House-Senate Insurance and Commerce meeting focused on the growing threat of financial fraud in Arkansas, with members hearing from bankers, regulators, law enforcement, AARP, and mortgage and insurance industry representatives. Witnesses described a wide range of scams, including spoofed bank calls and texts, fake websites and social media impersonation, romance and investment scams, business email compromise, gift card fraud, check fraud, wire fraud, reverse mortgage scams, and crypto kiosk schemes. Several speakers emphasized that fraud is increasingly organized, technology-driven, and amplified by artificial intelligence, and that seniors are disproportionately targeted and often suffer the largest losses. Testimony highlighted both prevention and recovery efforts. Bankers said institutions spend heavily on training, customer education, and fraud detection, but often cannot stop losses once customers have been convinced to authorize transfers. The Attorney General’s office described its Consumer Protection Division, a new Financial Fraud Task Force, and examples of recovering funds quickly from crypto kiosk and wire fraud cases. The State Bank Department and Securities Department said Arkansas’s 2025 crypto ATM legislation and related education requirements have helped, and they urged continued public education. The Insurance Department reported major insurance-fraud trends, including fake insurance cards, forged policies, premium-finance schemes, and staged auto accidents, and said it prosecutes these cases aggressively. Members asked about reporting scams, the security of tap payments, how fraud losses are tracked, the role of crypto kiosks, and whether Arkansas should pursue model legislation or stronger action against telecom and social media companies. Witnesses said tap payments are generally safer than chip or swipe, that crypto transfers are often unrecoverable, and that spoofed caller ID and impersonation ads remain major problems. Paul Benda of the American Bankers Association urged state and federal action against telecom and social media platforms and supported national scam legislation. No new bills were voted on at the meeting, but members approved the November 3, 2025 minutes and several witnesses offered to share model legislation, consumer education materials, and state-by-state fraud data with the committee.

Transcript Highlights:

• We're talking about an update on artificial intelligence in schools.
• give us one that is so realistic, like a selfie, kind of speaks to how fast we are moving with artificial
• intelligence.
• So you won't see specific references to artificial intelligence.
• One is specifically devoted to artificial intelligence and literacy, and the other is for informatics

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:

• deliberation throughout the interim. and the legislative process to the unprecedented growth of artificial
• intelligence applications.
• Again, this is House Bill 149. the Texas Responsible Artificial Intelligence Governance Act, creating
• Committee Substitute House Bill 149, relating to the regulation of the use of artificial intelligence
• Committee Substitute House Bill 149, relating to the regulation of the use of artificial intelligence

Bills: SB203, SB317, SB731, SB801, SB823, SB867, SB1232, SB1380, SB1798, SB2082, SB2603, SB2607, SB2717, SB2797, SB2841, SB2919, SB3074, HB2, HB6, HB18, HB43, HB47, HB120, HB143, HB149, HB171, HB180, HB285, HB305, HB449, HB647, HB742, HB748, HB908, HB1024, HB1240, HB1306, HB1397, HB1443, HB1445, HB1533, HB1866, HB1902, HB2001, HB2011, HB2026, HB2282, HB2355, HB2402, HB2434, HB2440, HB2492, HB2516, HB2518, HB2560, HB2674, HB2688, HB2697, HB2712, HB2713, HB2715, HB3153, HB3161, HB3421, HB3424, HB3464, HB3486, HB3510, HB3627, HB3966, HB3986, HB4042, HB4044, HB4076, HB4263, HB4384, HB4396, HB4413, HB4426, HB4429, HB4945, HB4996, HB5033, HB5246, HB5436, HB5515, HB5667, SJR5, SB3, SB4, SB9, SB20, SB21, SB23, SB27, SB33, SB34, SB40, SB75, SB213, SB269, SB379, SB458, SB528, SB647, SB648, SB650, SB681, SB740, SB840, SB843, SB924, SB1061, SB1120, SB1121, SB1150, SB1188, SB1198, SB1202, SB1253, SB1318, SB1333, SB1405, SB1423, SB1535, SB1566, SB1574, SB1621, SB1709, SB1789, SB2037, SB2078, SB2268, SB2544, SB2570, SB2601, SB2778, SB1, SB17, SB260, SB509, SB1506, SB1637, SB1833, SB2155, SB2308, HB2525, SJR36, SJR50, SJR63, SCR12, SCR39, SB2023, SB62, SB666, SB847, SB284, SB854, SB810, SB1505, SB583, SB507, SB1434, SB1772, SB2016, SB1122, SB731, SB397, SB508, SB1436, SB287, SB1882, SB393, SB1791, SB209, SB2429, SB1085, SB1975, SB2717, SB1262, SB636, SB2056, SB884, SB1200, SB1845, SB2458, SB801, SB3014, SB3013, SB758, SB2797, SB2076, SB2876, SB1640, SB1449, SB1181, SB1234, SB2926, SB2841, SB1528, SB1854, SB317, SB1250, SB2082, SB1237, SB2819, SB629, SB2608, SB1602, SB2009, SB867, SB640, SB1698, SB2680, SB913, SB1071, SB1086, SB1087, SB1483, SB1444, SB1553, SB1556, SB1703, SB2133, SB2297, SB2298, SB2622, SB2955, SB2334, SB1367, SB2044, SB2363, SB2565, SB1888, SB3036, SB3057, SB3043, SB3063, SB3035, SB203, SB2688, SB2522, SB2459, SB2655, SB2251, SB1884, SB2928, SB2566, SB1749, SB2549, SB2553, SB2919, SB1944, SB1232, SB1798, SB2603, SB2607, SB2683, SB1319, SB3038, SB3045, SB1538, SB3071, SB3065, SB823, SB3062, SB3074, SB1380, HJR133, HB2715, HB2, HB26, HB388, HB2712, HB1633, HB685, HB1606, HB1458, HB1240, HB2791, HB1397, HB2061, HB647, HB4738, HB2563, HB128, HB766, HB2259, HB2358, HB4384, HB748, HB5180, HB3806, HB3804, HB3803, HB1522, HB3597, HB1612, HB4224, HB1314, HB1237, HB3126, HB2856, HB3114, HB3505, HB5652, HB2025, HB3395, HB18, HB2516, HB2713, HB24, HB519, HB609, HB1592, HB120, HB1533, HB2421, HB2273, HB2464, HB2011, HB5084, HB3424, HB4396, HB43, HB5686, HB2518, HB4310, HB180, HB149, HB4945, HB2434, HB3161, HB3745, HB4044, HB5155, HB5667, HB4996, HB2697, HB2492, HB2355, HB2282, HB2001, HB1902, HB1866, HB1445, HB1443, HB1306, HB1024, HB908, HB305, HB285, HB449, HB171, HB47, HB3464, HB2637, HB4263, HB5436, HB4429, HB3986, HB3966, HB3510, HB2560, HB2026, HB2688, HB4076, HB5246, HB3487, HB3486, HB4226, HB216, HB742, HB2402, HB143, HB5033, HB4413, HB4042, HB2440, HB4426, HB49, HB4112, HB3233, HB2310, HB5515, HB3627, HB2674, HB322, HB1481, HB126, HB3062, HB3421, HB3180, HB2530, HB2524, HB1916, HB3153, HB5650, HB4894, HB3120, HB1629, HB103, HB3234, HB3680, HB5698, HB3171, HB5693, HB2694, HB5664, HB3732, HB2508, HB2293, HB1991, HB2014, HB5331, HB5247, HB4751, HB4690, HB4668, HB4464, HB4395, HB4063, HB3833, HB3623, HB3214, HB3512, HB3250, HB3016, HB2520, HB2221, HB2213, HB3824, HB2067, HB1732, HB1562, HB700, HB1545, HB252, HB146, HB5596, HB1851, HB3619, HB3071, HB3556, HB851, HB4230, HB5320, HB5651, HB5670, HB5665, HB5437, HB5679, HB5699, HB5661, HB5662, HB5654, HB5672, HB5656, HB5149, HB4903, HB4743, HB4666, HB4377, HB4535, HB4129, HB3812, HB3801, HB3595, HB3057, HB2035, HB721, HB35, HB346, HB2974, HB2512, HB5695, HB5694, HB5671, HB5674, HB5688, HB1586, HB5154, HB2038, HB163, HB413, HB3463, HB3185, HB2761, HB2593, HB2348, HB2073, HB1828, HB1422, HB75, HB1871, HB108, HB2306, HB2017, HB1135, HB144, HB3689, HB5308, HB101, HB2193, HB5666, HB5677, HB5682, HB5680, HB5658, HB5696, HB4144, HB3159, HB3254, HB3866, HB3010, HB4520, HB3642, HB3928, HB3815, HB2686, HB2012, HB1960, HB227, HB654, HB1690, HB2128, HB4158, HB4530, HB4630, HB5659, HB1523, HB2078, HB2427, HB145, HB1973, HB3333, HB3697, HB3546, HB3225, HB3181, HB3133, HB3053, HB2885, HB2820, HB2294, HB2253, HB1661, HB1506, HB1234, HB640, HB621, HB551, HB521, HB493, HB272, HB229, HB223, HB201, HB186, HB119, HB2080, HB2818, HB5394, HB4795, HB4466, HB4454, HB3940, HB3749, HB3151, HB3284, HB1403, HB1106, HB2844, HB2851, HB1500, HCR141, HCR118, HCR127, HCR40, HCR59, HCR10, HCR135, HCR142, HCR9, HCR76, HCR108, SB823, SB1380, SB3074, HB47, HB143, HB149, HB171, HB285, HB305, HB449, HB742, HB908, HB1024, HB1240, HB1397, HB1443, HB1533, HB1866, HB1902, HB2001, HB2011, HB2355, HB2402, HB2434, HB2440, HB2492, HB2560, HB2688, HB2697, HB2712, HB3153, HB3161, HB3421, HB3424, HB3464, HB3486, HB3510, HB3986, HB4042, HB4076, HB4263, HB4413, HB4426, HB4429, HB4945, HB4996, HB5246, HB5515, HB2, HB2282, HB3627, HB5033, SR560, SR561, HB1904, HB2240, HB3686, HB3793, HB4202, HB1904, HB2240, HB3686, HB3793, HB4202

Keywords: student privacy, numerical class rank, education policy, academic programs, high school, monuments, memorials, public property, historical significance, civil penalties, local governance, SB 731, Texas, Texas Department of Housing and Community Affairs, TDHCA, low-income housing tax credits, LIHTC, affordable housing, senior housing, 55 and older

Transcript Highlights:

• Madam Chair, I would like for us to look at data privacy and artificial intelligence as it relates to
• Uh regulating artificial intelligence and cannot be passed or enforced in states for the next 10 years
• full quote, no state or political subdivision thereof may enforce any law or regulation regulating artificial
• intelligence models, artificial intelligence systems, or automated decision systems during the 10-year

Transcript Highlights:

• intelligence systems.
• To be clear, an algorithm in social media is an artificial intelligence system.
• intelligence system.
• The amendments proposed by the opposition would allow them to artificially inflate the prices and then
• Assembly Bill 412 by Assembly Member Bauer-Kahan and others, an act relating to artificial intelligence

Summary: The Assembly met in session, established a quorum, and opened with an Asian American and Pacific Islander Heritage Month ceremony. Members adopted House Resolution 35 recognizing May as AAPI Heritage Month, with extensive floor remarks from caucus leaders and members highlighting AAPI history, contributions, and solidarity with other communities. The chamber then honored 14 AAPI honorees from across the state, including public servants, advocates, artists, health professionals, and community leaders, before moving to the regular file. On the floor, the Assembly passed a series of bills on social media harms to minors, labor privilege, foster care family-finding, low-impact camping areas, student body association governance, drink-spiking prevention at music festivals, behavioral health access, greenhouse gas recapture, physical therapy access, housing enforcement, insurance licensing, density bonus clarification, water district proxy voting, park district updates, secured transactions, and property tax relief during emergencies. Most measures passed with broad or unanimous support; notable votes included AB 2 on social media platform accountability passing 59-0, AB 1109 on union communications privilege passing 45-4, AB 409 on student body association open meetings passing 55-6, AB 518 on low-impact camping passing 55-0, AB 668 on drink-spiking protections passing 72-0, AB 348 on behavioral health access passing 69-0, AB 663 on HFC recapture passing 71-0, AB 574 on physical therapy access passing 68-0, AB 712 on housing enforcement passing 57-1, AB 943 on insurance pre-licensing reform passing 63-0, AB 87 on density bonus law clarification passing 63-0, AB 523 on Metropolitan Water District proxy voting passing 62-1, AB 769 on park district code cleanup passing 68-0, AB 771 on secured transactions passing 69-0, and AB 1416 on property tax installment deferrals passing 66-0. The Assembly also took up AB 446, the Surveillance Pricing Protection Act, which would prohibit businesses from using personal data to charge different prices for the same product or service. Supporters described the practice as predatory and discriminatory, while noting ongoing concerns about preserving legitimate discounts and loyalty programs. The bill was presented as a consumer protection measure aimed at preventing hidden price discrimination and reducing cost-of-living pressures. The transcript ends amid repeated and partially duplicated readings of AB 446, without a final vote shown for that item.

Transcript Highlights:

• Members this bill is about artificial intelligence and it's mobilization health insurance health insurers
• are aggressively adopting artificial intelligence to increase efficiency, but there have been concerns
• They are also utilizing artificial intelligence in an inappropriate way. way to boost profits at the
• for watching. are misusing artificial intelligence. to more algorithmically and systematically deny decisions
• intelligence that really are not a real doctor.

Bills: SJR57, SCR8, SB8, SB14, SB24, SB108, SB112, SB125, SB213, SB251, SB315, SB318, SB371, SB378, SB379, SB472, SB487, SB502, SB513, SB565, SB621, SB650, SB689, SB707, SB710, SB761, SB763, SB815, SB854, SB875, SB896, SB916, SB925, SB958, SB961, SB965, SB973, SB987, SB990, SB995, SB1006, SB1018, SB1019, SB1024, SB1026, SB1146, SB1194, SB1198, SB1253, SB1330, SB1343, SB1362, SB1379, SB1497, SB1498, SB1527, SB1532, SB1547, SB1596, SJR36, SJR12, SJR57, SCR22, SCR12, SCR8, SB565, SB765, SB62, SB666, SB707, SB888, SB687, SB847, SB1248, SB14, SB1006, SB504, SB925, SB995, SB857, SB305, SB296, SB284, SB815, SB1379, SB1497, SB1499, SB1498, SB241, SB304, SB621, SB1023, SB1024, SB686, SB112, SB371, SB204, SB609, SB670, SB502, SB850, SB854, SB413, SB1362, SB1346, SB1033, SB1220, SB1073, SB810, SB987, SB1539, SB447, SB875, SB406, SB985, SB965, SB1119, SB1505, SB24, SB1194, SB1253, SB1215, SB1532, SB1302, SB856, SB650, SB583, SB673, SB213, SB681, SB1172, SB1252, SB378, SB1343, SB608, SB487, SB955, SB957, SB988, SB990, SB1019, SB1021, SB1120, SB251, SB958, SB761, SB541, SB315, SB379, SB1018, SB1737, SB266, SB1415, SB1527, SB125, SB599, SB1330, SB53, SB916, SB896, SB1352, SB973, SB785, SB710, SB472, SB1450, SB1502, SB1566, SB414, SB1062, SB1547, SB961, SB1038, SB513, SB578, SB711, SB746, SB942, SB1404, SB1448, SB1738, SB108, SB8, SB318, SB507, SB533, SB689, SB1026, SB1349, SB1355, SB1433, SB1434, SB1596, SB1403, SB1198, SB1146, SB763, SB667, SB1059, SB617, SB1567, SB503, SJR37, SB16, SB310, SB311, SB396, SB505, SB1209, SB1210, SB1470, SB264, SB924, SB1029, SB1185, SB1202, SB1358, SB1364, SB1569, SB1697, SB1376, SB1228, SB519, SB878, SB1350, SB462, SB1535, SB827, SB1585, SB207, SB1207, SB1619, SB1396, SB920, SB1484, SB1273, SB1741

Keywords: central bank digital currency, CBDC, Federal Reserve, digital dollar, digital currency, cashless payments, financial privacy, cybersecurity, government surveillance, financial surveillance, money laundering, terrorism financing, illicit finance, banking policy, monetary policy, payments system, commercial banks, Texas Legislature, concurrent resolution, federal reserve digital currency

Transcript Highlights:

• I still have deep concerns just about adding surveillance that is driven by artificial intelligence.
• , and legal strategies when it comes to artificial intelligence, particularly around safety and in schools
• This is why I'm here in opposition to House File 3753. artificial intelligence audits artificial intelligence
• <00:45:10.480> intelligence<00:45:11.400> particularly artificial intelligence particularly
• artificial intelligence particularly around<00:45:12.600> safety<00:45:13.000> and<00:

Bills: HF3753, HF4299, HF4700, HF4282, HF4139, HF3530, HF4031

Keywords: school safety, threat assessment, pilot project, education, real-time monitoring, public safety, HF4299, school safety specialists, Minnesota School Safety Center, appropriation, general fund, fiscal year 2026, school security, school violence prevention, student safety, Department of Public Safety, school resource support, education funding, peace officer, training reimbursement

Transcript Highlights:

• The event will include a panel discussion in partnership with MassAbility, focused on artificial intelligence
• The panel will focus on artificial intelligence and its impact on individuals with disabilities.
• And as Oz mentioned earlier, we've been exploring artificial intelligence.

Keywords: 995, all

Summary: The Massachusetts Permanent Commission on the Status of Persons with Disabilities met virtually and in person for its June meeting. Members approved the March meeting minutes and heard a chair’s report on recent “Meeting the Moment” community conversations, including the successful Lowell event and plans for a July 14 Northampton event and an October National Disability Employment Awareness Month celebration at the State House. The October event will include a panel with MassAbility on artificial intelligence and its impacts on people with disabilities, with discussion of both accessibility benefits and risks such as bias and discrimination. A major presentation came from the Supplier Diversity Office on its Empowering Abilities in Contracting and Employment (EAC) program. Staff described the program’s evolution from a pilot launched after 2016 legislation to a statewide policy now included in new state contracts. The program aims to increase certification of disability-owned and service-disabled veteran-owned businesses, expand workforce participation by people with disabilities, and use vendor reporting to track progress toward a 3% workforce goal. The office reported about 292 active certified businesses, roughly 40 vendors currently on EAC contracts, and expectations that the number of participating vendors will grow to about 130 by November. Commissioners praised the program and asked about its reach, data, and potential replication in other states or institutions. The advisory council update highlighted broad engagement across topics including accessibility, employment, youth transition, housing, health equity, transportation, technology, AI, and supported decision-making. Members were asked to share fact sheets and resources for posting on the commission website, and two council members will help plan the October employment event. Subcommittee reports followed: the employment subcommittee reviewed transition-to-employment barriers, the disability employment tax credit, veteran services, and a SEED policy brief; the workforce supports subcommittee discussed apprenticeships and a May webinar on addressing workforce barriers through apprenticeships; and the long-term services and supports/health equity subcommittee heard about care coordination training resources and a presentation on post-COVID health care inequities for people with disabilities. The executive director also reported on ongoing work with state agencies, MassHealth-related conversations, caregiver and aging issues, and AI planning. The meeting ended with commissioner announcements on the Paul Spooner Generational Leadership Summit and a Medicaid summit, followed by adjournment by vote.

Transcript Highlights:

• You know, for example, I had a conversation yesterday with him about the artificial intelligence piece
• I don't think that the requester necessarily has an issue with artificial intelligence.
• I don't think that the requester necessarily has an issue with artificial intelligence being used in

Bills: HB3048, HB3259, HB3646, HB3696, HB3780, HB3781, HB3802, HB3818, HB4294, HB4488, HB2929

Keywords: insurance, nonadmitted insurers, surplus lines, insurance regulation, Oklahoma, health insurance, contracting entities, medical providers, enrollment, beneficiary rights, property and casualty, rates, filing, Insurance Commissioner, regulation, property, regulations, actuary, rate filing, independent review

Transcript Highlights:

• I don't see any artificial intelligence, which is undefined.
• see any All I see is artificial see any All I see is artificial intelligence,<04:04:08.239> which
• As artificial intelligence expertise.
• of um overseeing artificial of um overseeing artificial intelligence,<04:41:16.958> we're
• analysis is using artificial analysis is using artificial intelligence<04:46:17.840> to<04

Keywords: 1189, house, all

Transcript Highlights:

• transactions involving virtual currencies distributed ledger technologies, including blockchain, artificial
• intelligence and other technological developments.
• material produced and distributed without the consent of the subject and has been altered with artificial
• intelligence to know shown non consensual, intimate or explicit content.
• It is images that are created through artificial intelligence based on the the likeness of someone creating

Keywords: 999, senate, all

Transcript Highlights:

• Recently, we've been permitted to increase our ISR, our intelligence. surveillance, and reconnaissance
• with Mexico to go address the cartel violence in terms of— sending more troops and intelligence sharing
• So intelligence and awareness of what the terrorists are thinking and planning and plotting, I think,
• You both know about the importance of artificial intelligence systems and the pivotal role that they
• Anything in the future that you'll see from us incorporating artificial intelligence certainly will always

Keywords: national security, China, Russia, cybersecurity, border security, military deployment, transnational crime, defense modernization, military strategy

Summary: In this meeting, key topics included national security concerns with an emphasis on threats from China, Russia, and transnational criminal organizations. Senior military officials provided testimony on the evolving risks posed by these adversaries, particularly focusing on cybersecurity and advancements in weaponry. The discussion highlighted the importance of a cohesive strategy among government departments to effectively respond to the challenges presented by these threats, emphasizing the need for modernization in defense capabilities. Committee members grilled the witnesses on border security and the implications of deploying military resources in domestic operations.

Transcript Highlights:

• We trained a artificial intelligence.
• and of course artificial intelligence. and of course artificial intelligence.
• The Office of Education Technology rolled out our artificial intelligence guidance brief to districts
• The Office of Education Technology rolled out our artificial intelligence guidance brief to districts
• intelligence guidance brief artificial intelligence guidance brief to<00:47:29.680> districts

Keywords: Call to Order and Roll Call - 0:25 Approval of Minutes – 3-50 2025 RS SB 253 – 4:25 Computer Science and AI Literacy – 27:36 Fayette County School District Budget Update – 51:46 Adjournment – 2:09:46, 958, all

Summary: The committee first handled routine business, including roll call, introductions, and approval of the previous meeting minutes by voice vote. It then heard a presentation on SB 253, focused on expanding support for teacher apprenticeship and teaching-and-learning pathways. Senator Hickman and staff from the Kentucky Department of Education and Nelson County Schools described how the program uses dual credit, work-based learning, and registered apprenticeship to help students earn an associate degree in high school and continue toward a teaching degree. They said the goal is to address the teacher shortage by creating a sustainable pipeline into the profession. Witnesses emphasized that the main barrier is cost. Mary Taylor said Kentucky’s youth apprenticeship model has been successful in other fields and that education should be added as an in-demand sector, but an associate degree alone will not solve the teacher shortage because teachers still need a bachelor’s degree and certification. Laura Arnold of Nelson County Schools described the district’s Lead Nelson program, saying the district has invested more than $800,000 since 2021, currently has 37 students in the pathway and seven committed apprentices, and spends about $85,000 per apprentice from freshman year through certification. She said district staffing, planning, and university partnerships are also significant hurdles. Members asked about job guarantees, tenure, and retirement; Arnold said employment is performance-based and retirement issues are being considered. Senator Hickman said the bill would use lottery funds to help cover tuition and dual credit costs so more districts can participate, noting that a prior version died because of a high fiscal note. Representative Payne and Representative Tipton praised the program but stressed the need for funding and noted inconsistencies between statute and budget language on Work Ready Kentucky and dual credit support. Representative Tipton also cautioned that lottery revenue may not keep pace with demand and said the General Assembly may need to make broader funding decisions. After the apprenticeship discussion, the chair moved the committee to the next agenda item on computer science and AI literacy, where Code.org began a presentation on the importance of computer science for all students.

Transcript Highlights:

• Can you get a little bit of how we're using artificial intelligence and some of the different projects
• intelligence and machine learning. ...at combining all the laboratory data together using artificial
• In expanding those focus areas, we certainly included the areas of intelligent supply chain analytics
• So we're looking at very machine learning, artificial intelligence focused, analytics focused areas in
• Digital innovation, including artificial intelligence and advanced modeling, is integrated to accelerate

Summary: The meeting opened with remarks about the value of public engagement and the quality of questions from the group, followed by a series of technical presentations from Idaho National Laboratory staff. Joe Renovitz described recent nuclear regulatory changes tied to presidential executive orders, including NRC Part 53 for advanced reactors, the forthcoming Part 57 for very small reactors, and DOE updates to reactor authorization standards. He emphasized efforts to align DOE and NRC processes, use risk-informed and performance-based licensing, support reactor deployment for AI/data centers and national security, and use AI to speed communications and crosswalks between DOE and NRC requirements. In response to questions, he said there was no plan to merge agencies, but rather to improve coordination and public outreach through groups like GAIN and NEI. David Tolman then discussed the nuclear fuel cycle, including uranium mining, conversion, enrichment, fuel fabrication, spent fuel storage, transportation, disposal, and reprocessing. He explained high-assay low-enriched uranium (HALEU), why it is needed for advanced reactors, and DOE’s HALEU Availability Program and related investments in enrichment, transportation, deconversion, and supply chain development. He also covered spent fuel management, the possibility of centralized storage or a fuel-cycle campus, the Center for Used Fuel Research, and ongoing work on high-burnup cask testing and reprocessing technologies. Tolman described aqueous, pyrochemical, and fluoride-volatility reprocessing approaches, noting the advantages and waste characteristics of each, and said several companies are working with INL on these technologies. Ashley Shields presented INL’s AI and nuclear work, focusing on the Genesis initiative and the Prometheus effort to use AI to design, license, build, and operate reactors with far less human intervention. She described INL’s broad use of generative AI tools, the need to manage large volumes of legacy technical data, and applications in reactor design, materials discovery, autonomous laboratories, and digital twins. Shields said AI is being used to reduce the enormous documentation burden in nuclear licensing and to support autonomous or remotely operated reactor demonstrations, while stressing that humans remain in supervisory roles. In discussion, she addressed data security, model access, and the continued need for software engineers. The session then recessed briefly and resumed with Mitch Kerman beginning a presentation on critical minerals and materials.