Transcript Highlights:

• I'll bet it's in somebody's computer somewhere.
• And we have a group we call our AISIG group, which is Artificial Intelligence Strategy, Implementation
• So my last couple of assignments were with Space and Missile Defense Command, a lot of artificial intelligence
• intelligence has access to all Where that artificial intelligence has access to all the interoperable
• Okay, so are we giving permissions to this artificial intelligence, whatever that term means, to access

Keywords: 959, house, all

Transcript Highlights:

• It's a memorandum on artificial intelligence and sexual exploitation.
• A comment on, you know, this is talking about artificial intelligence and sexual exploitation, but we
• Today I'm here to discuss artificial intelligence and the growing impact it is having in cases that we
• Artificial intelligence is changing child exploitation in North Dakota.
• So, in closing, artificial intelligence is fundamentally changing child exploitation.

Summary: The committee met to approve prior minutes and then heard a presentation from Dr. Ramona Danielson on adverse childhood experiences (ACEs), focusing on the economic and public-system impacts in North Dakota. She explained that ACEs are a population-level measure, not a diagnostic tool for individuals, and said higher ACE exposure is consistently associated with more chronic illness, mental health challenges, child welfare involvement, justice-system contact, and reduced workforce participation. She emphasized that precise dollar estimates are difficult because of the many interacting factors across a person’s life course, but said the direction of the impact is clear and that evidence-based prevention and protective factors can reduce harm. Members asked about definitions of a “healthy family,” same-sex couples, divorce, substance abuse, historical trends in ACEs, and the role of positive childhood experiences and home visiting. The committee then heard from Allison Mahoney and Missy Barranco about evidence-based home visiting programs in North Dakota, including Healthy Families, Early Head Start, Nurse-Family Partnership, and Parents as Teachers. They described home visiting as voluntary, relationship-based, and tailored to family needs, with referrals coming from hospitals, WIC, human service zones, pregnancy navigators, self-referrals, and other community sources. A parent, Abby, shared that home visiting helped her family after premature births and NICU stays by providing support with postpartum mental health, breastfeeding, developmental screenings, referrals, and parenting guidance. The presenters said the programs are funded through a mix of federal MIECHV/Title IV-E dollars, Medicaid targeted case management, state and tribal funds, philanthropy, charitable gaming, and grants, and they noted that current funding is fragmented and insufficient to serve all eligible families statewide. Members discussed whether the state should expand or better fund these services and how to improve outreach and referrals. Later, the committee received a memorandum on artificial intelligence and sexual exploitation, followed by a presentation from a BCI special agent on how AI is already affecting child exploitation investigations in North Dakota. The memo and testimony described AI-generated child sexual abuse material, deepfakes, sextortion, and risks posed by chatbots, along with relevant federal and state law and recent executive orders. The agent said North Dakota saw 2,698 cyber tips in 2025, the highest on record, and that investigators are increasingly encountering AI-assisted exploitation that is harder to detect and verify. Members discussed the need for child-safety protections, the limits of executive orders, and broader concerns about AI undermining critical thinking and spreading misinformation. No votes were taken on the AI materials during the portion provided, and the committee recessed briefly after the report.

Transcript Highlights:

• I think it's afternoon feels like as you recall, Speaker Perez designated this week as artificial intelligence
• So when we talk about artificial intelligence, we need to balance the risk with innovation.
• for the responsible, secure and ethical use of artificial intelligence.
• Another tool we have is this asked tool called A to artificial intelligence data assessor.
• Having just come back from a national meeting that focused a lot on artificial intelligence.

Transcript Highlights:

• intelligence to flag use artificial intelligence to flag anomalies<00:30:34.799> for<00:30:35.120
• 30:50.559> data artificial intelligence and data artificial intelligence and data management,<
• artificial intelligence fraud The artificial intelligence fraud prevention<00:31:13.120> tool<
• it is really focused on the artificial it is really focused on the artificial intelligence<00:35
• implement vendor-based artificial implement vendor-based artificial intelligence<00:39:56.240>

Keywords: 1183, house

Transcript Highlights:

• It's a memorandum on artificial intelligence and sexual exploitation.
• A comment on, you know, this is talking about artificial intelligence and sexual exploitation, but we
• Today I'm here to discuss artificial intelligence and the growing impact it is having in cases that we
• Artificial intelligence is changing child exploitation in North Dakota, not in theory, but in what we
• So, in closing, artificial intelligence is fundamentally changing child exploitation.

Summary: The committee first approved the December 16 minutes and then heard a presentation from Dr. Ramona Danielson on adverse childhood experiences (ACEs) and their economic and public-system impacts. She explained that ACEs are population-level risk indicators, not individual diagnostic tools, and said higher ACE exposure is associated with more chronic illness, mental health challenges, child welfare and justice involvement, and lower workforce participation. She cautioned that precise dollar estimates are difficult because of the many interacting factors across the life course, but said the direction of the impact is clear and that evidence-based interventions and protective factors can reduce harm. Members asked about definitions of a “healthy family,” same-sex couples, divorce, substance abuse, trends in ACEs, and home visiting; she emphasized supportive relationships, protective factors, and the importance of positive childhood experiences. The committee then heard from Allison Mahoney and Missy Barranco, along with a recorded family story from Abby, about evidence-based home visiting programs in North Dakota. Abby described how Healthy Families North Dakota supported her family after a premature birth and NICU stay by providing weekly in-home coaching, developmental screenings, postpartum mental health check-ins, referrals, and parenting support. The presenters explained that home visiting is voluntary, relationship-based, and usually begins prenatally or shortly after birth, with referrals coming from hospitals, WIC, pregnancy navigators, human service zones, self-referrals, and other community partners. They said North Dakota currently has four main evidence-based models operating through 12 organizations, with Healthy Families available in all 53 counties, though only a fraction of eligible families are served. Funding was described as a patchwork of federal MIECHV/Title IV-E, Medicaid, state and tribal funds, philanthropy, charitable gaming, and other grants; members discussed whether the Legislature or agencies should expand support and how to improve outreach and sustainability. Finally, the committee received a memorandum on artificial intelligence and sexual exploitation, focusing on AI-generated child sexual abuse material, deepfakes, sextortion, and chatbot-related risks. The report summarized federal and state law, including North Dakota’s existing computer-generated image provisions, the federal PROTECT Act, the Take It Down Act, and recent federal executive orders on AI policy. Members discussed the need for child-safety protections, the limits of executive orders, and broader concerns about AI’s effect on critical thinking and misinformation. The committee then heard from BCI Special Agent Cassidy Halsef, who said AI is already driving a sharp rise in child exploitation cases in North Dakota, including AI-generated explicit images of real minors and school-based incidents involving mass-shared manipulated images. She said investigators are seeing more cyber tips, more difficult forensic work, and lasting harm to victims and families, and urged stronger legal penalties, specialized training, victim services, and prevention education in schools and communities.

Transcript Highlights:

• Last summer the National Science Foundation selected UT Austin and the Texas Advanced Computing Center
• intelligence.
• This transdisciplinary college intentionally merges the disciplines of computer science. computer engineering
• As a highlight UTMB was the first in Texas to deploy artificial intelligence as a comprehensive screen
• It's all about data, data sciences, bioinformatics and artificial intelligence. as the only school in

Keywords: 1184, house, all

Transcript Highlights:

• organizations the ability to accept online payments, provide transparency, and conduct unbiased computer
• Simply eliminating the administrative prohibition on electronic and computer-generated play slips and
• A deepfake is a realistic photo or video generated using artificial intelligence to mimic the image of
• It's artificial. ...are aimed at images taken of people, and we especially protect children in those
• But for artificial intelligence, there's no protection for children, and so you get images that can be

Bills: SB82, SB1807, SB2254, HB119, HB130, HB581, HJR98, SB1988, SB 18, SB 34

Keywords: business liability, concealed carry, handgun policy, premises liability, criminal acts, civil liability, business premises, concealed handgun, property liability, property rights, gun regulations, criminal liability, protective order, confidentiality, personal information, court records, victim protection, charitable raffle, nonprofit, wildlife conservation

Transcript Highlights:

• <00:02:16.160> intelligence<00:02:16.720> or definition of artificial intelligence
• We're opposed artificial intelligence.
• 44.240> general artificial intelligence as a general artificial intelligence as a general topic
• <00:25:13.200> these artificial intelligence will make these artificial intelligence will
• Artificial intelligence will and is shaping our future.

Keywords: 1187, senate, all

Transcript Highlights:

• It also limits the use of technology and artificial intelligence to substitute for parts of patient assessment
• The intention of this bill is not to fully prohibit the use of technology or artificial intelligence.
• The intention is that artificial intelligence and technology will not replace the thinking of the nurse
• technology or artificial intelligence. technology or artificial intelligence.
• is that artificial intention is that artificial intelligence<00:55:55.760> and<00:55:56.000><

Keywords: 1187, senate, all

Transcript Highlights:

• <00:36:59.599> Um artificial intelligence generally.
• Um artificial intelligence generally.
• Um, just trying to define what artificial intelligence is is a big enough job.
• c><00:46:38.319> intelligence to define what artificial intelligence to define what artificial
• <01:14:15.199> intelligence verification for artificial intelligence verification for artificial

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:

• Can you get a little bit of how we're using artificial intelligence and some of the different projects
• I am the computational data science department manager in our scientific computing and AI division, part
• intelligence and machine learning. ...at combining all the laboratory data together using artificial
• 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.

Transcript Highlights:

• This bill repeals the sales and use tax exemption for computer data center equipment.
• Artificial intelligence is changing the world faster than almost any technology in modern history.
• Artificial intelligence is changing the world faster than almost any technology in modern history.
• Colleagues, we've said a lot about data centers today and to this side about artificial intelligence
• Artificial intelligence and disruptive technology, right?

Summary: The House convened with a quorum, recognized several guests in the gallery, and then took up a series of committee reports, referrals, and floor actions. Early business included concurrence in committee reports on bills and resolutions from Game and Fisheries, Professional Licensure, Health, and Children and Youth, along with referral of Senate Bill 1377 to Transportation. The chamber also signed House Bill 1344 after the Senate returned it without amendment. Later, members announced caucus and committee meetings, including Rules, Intergovernmental Affairs and Operations, Insurance, and Appropriations, before recessing and then reconvening for floor votes. The House adopted several resolutions, including House Resolution 537 designating Rail Safety Week, House Resolution 449 recognizing the 25th anniversary of the September 11 attacks, and House Resolution 568 designating Javei Syndrome Awareness Day. The chamber also considered House Bill 2037 on cryptocurrency corruption, where Amendment A03882 narrowing the bill to public officials and immediate family members was adopted, while two later amendments were tabled or failed. House Bill 2198, repealing the sales and use tax exemption for computer data center equipment, was amended to take effect immediately and to bar KOZ use for data centers, then agreed to. House Bill 2559, concerning a university conveyance and other conveyances, was agreed to after out-of-order amendments were ruled on. A major portion of the session focused on data center policy. House Bill 2496, creating a 180-day pause on data center proposals to give municipalities time to update zoning and planning, drew extensive support from members emphasizing local control, environmental concerns, and the need for time to assess impacts; it passed final passage 201-1. House Bill 2650, creating the Governor’s Responsible Infrastructure Development certification for data centers, also generated lengthy debate over energy use, water, community benefits, and tax treatment; it passed 134-68. The House also passed House Bill 2162 on temporary licensing for drug manufacturers before FDA approval, House Bill 2388 on rounding cash payments when pennies are unavailable, House Bill 2437 on county and municipal bridge repair funds, House Bill 2555 on equine dealer recordkeeping, and House Bill 2621 directing a Department of Health survey on maternal and infant outcomes. Other actions included final passage of House Bill 1006 on milk tester and wearer sampler certification periods, House Bill 2014 on opportunities for minors and emergency service organizations, House Bill 2512 prohibiting ride-share pricing based on device condition, House Bill 2644 authorizing itemized capital bridge projects, and Senate Bill 1058 updating the E85 flex-fuel reference. The House also adopted House Bill 2162, House Bill 2388, House Bill 2437, and House Bill 2555 by recorded votes, and several committee reports were agreed to throughout the day. The session ended with additional committee referrals, a motion to recommit several bills to Appropriations, and adjournment until the next morning.

Transcript Highlights:

• The rapid growth of artificial intelligence is only the latest wave of that change, and I understand
• So one is there's research done by the Allen Institute of Artificial Intelligence, a Seattle-based organization
• , that doesn't... ...Institute of Artificial Intelligence, a Seattle-based organization, that did research
• They're using techniques called adversarial artificial intelligence or prompt filtering to prevent you
• intelligence, if you will, to make these decisions.

Summary: The Assembly Privacy and Consumer Protection Committee met with a new membership roster and adopted its committee rules after quorum was established. The hearing then began with AB 412, the AI Copyright Transparency Act, which would require generative AI developers to provide copyright holders notice when registered copyrighted works are used in training data. The author and supporters, including SAG-AFTRA, the Transparency Coalition, voice actors, writers, labor groups, and other creators, argued the bill would give artists a practical way to learn whether their works were used and to vindicate their rights. Opponents, including EFF, CalChamber, RIAA, CCIA, Chamber of Progress, Bay Area Council, BSA, and TechNet, said the proposal was technically unworkable, could burden startups, conflict with existing law and pending litigation, and raise federal preemption concerns. Members discussed the bill’s amendments, including a fingerprinting approach and narrowing the bill to model developers, and the committee voted 8-2 to pass AB 412 as amended to the Judiciary Committee. The committee then heard AB 446, which would prohibit “surveillance pricing,” or the use of personal data to charge different prices for the same product or service. The author and supporters, including Consumer Watchdog, UFCW, labor organizations, and consumer/privacy groups, described examples of differential pricing tied to device type, location, shopping behavior, and digital price tags, and argued the bill would protect consumers from discriminatory and predatory pricing. Business and industry opponents, including CalChamber, grocers, retailers, travel, broadband, and other associations, said the bill could conflict with the CCPA, interfere with loyalty and rewards programs, and create confusion about personalized discounts and dynamic pricing. The discussion focused on how the bill would treat loyalty programs, whether existing privacy law already covers the issue, and whether the proposal would unintentionally affect legitimate discounts and promotions.

Transcript Highlights:

• DATA CENTERS AGGREGATE COLLECT COMPUTING DEMANDS EFFICIENTLY AND SECURELY.
• PREVIOUSLY THESE TYPES OF COMPUTING RESOURCES WERE CROSSING BUSINESSES FAR CURED BY CENTRALIZING COMPUTING
• AI AND HIGH PERFORMANCE COMPUTING ARE EMBEDDED ACROSS OUR OPERATION.
• THE FIRST ONE I WANT TO HIGHLIGHT HIS COMPUTER VISION.
• Conerly: YOU MENTIONED THE SPEED WITH WHICH DECISIONS CAN BE MADE NOW USING ARTIFICIAL INTELLIGENCE.

Transcript Highlights:

• Um, proposals to regulate artificial intelligence and other computational tools have proliferated in
• Um, proposals to regulate artificial intelligence and other computational tools have proliferated in
• Um, proposals to regulate artificial intelligence and other computational tools have proliferated in
• In an era where<01:20:17.600> artificial<01:20:18.159> intelligence, In an era where artificial
• <01:21:26.159> intelligence,<01:21:27.040> cryptocurrency, artificial intelligence, cryptocurrency

Keywords: 1189, house, all

Transcript Highlights:

• Data centers play a central role in the continued growth of artificial intelligence and its many applications
• Artificial intelligence is advancing at an extraordinary pace, and the demand for electricity, infrastructure
• Artificial intelligence is advancing rapidly, and the energy requirements being discussed...
• Artificial intelligence is advancing rapidly, and the energy requirements being discussed by industry
• intelligence can thrive.

Summary: The committee heard several bills focused on energy, public safety, and environmental cleanup. House Bill 455 would create a historic preservation license plate to raise funds and awareness for Delaware preservation efforts, and House Bill 471 would tighten rules and penalties for off-highway vehicles on shared private roads, with golf carts excluded. House Substitute No. 1 for House Bill 439, the Truth in E-Bike Marketing Act, would require clearer disclosures when selling electric mopeds and electric motorcycles so consumers understand classification, power, and licensing/insurance requirements. House Substitute No. 1 for House Bill 407, related to the Hazardous Substance Cleanup Act and brownfields, would shift funding for brownfield cleanup from the original realty transfer tax approach to a dedicated share of the hazardous substance cleanup fund and raise civil penalties for fraudulent acts. The committee also approved the June 18, 2026 minutes once quorum was reached. Most of the meeting centered on House Substitute No. 1 for House Bill 233, as amended, a large-load/data center bill intended to protect ratepayers from costs tied to massive new electricity users. The sponsor and Public Advocate said PJM’s warnings about a coming reliability backstop auction made it urgent to establish a Delaware framework now, requiring large energy users to sign utility agreements, cover their share of transmission, distribution, and capacity costs, and comply with curtailment and other protections. Supporters from environmental groups and some labor and business voices said the bill was needed to prevent cost shifts to households and small businesses, while opponents argued it was being rushed, could deter investment, and might unintentionally affect other industries; several asked for more time and clearer definitions. No vote was taken in the portion provided. The committee also took up House Bill 470, which would authorize Delmarva Power, with PSC approval, to build and operate utility-owned battery storage and spread costs across the customer base. The sponsor and Delmarva said the bill would improve reliability quickly and help avoid outages, while the chair expressed concern that the state had not yet fully studied whether utility-owned or competitively procured storage is the best model, noting a recent SEU storage study and broader policy questions. Supporters said utility storage could be deployed faster and help with peak shaving, while others urged a competitive process; the transcript cuts off before any final action on HB 470.

Transcript Highlights:

• This is the advancement of data centers, artificial intelligence, machine learning capabilities, the
• the growth of artificial intelligence and machine learning and all the new ways that it's serving businesses
• Dan Diorio: The demand for data continues to grow rapidly, driven by cloud computing, artificial intelligence
• Artificial intelligence has changed everything about how the world thinks about energy and infrastructure
• intelligence.

Summary: The Committee on State Affairs convened to discuss data centers and their impact on Texas's energy infrastructure. The meeting featured testimony from key representatives of the Public Utility Commission (PUC) and ERCOT, who outlined the evolving landscape of energy generation and the challenges posed by the rapid growth of data centers. Notably, ERCOT reported over 450,000 MW of generation resources planned for connection, with a significant portion attributed to data centers, which now represent around 87% of new large load interconnection requests. The committee explored proposed changes to the interconnection process, including a new 'batch study' approach aimed at streamlining the approval of multiple projects simultaneously. This change is intended to address the challenges of managing numerous simultaneous requests and to provide more certainty for developers regarding their energy needs. Testimonies emphasized the importance of ensuring that the costs of infrastructure upgrades are borne by the data centers rather than residential ratepayers, with discussions around the financial commitments required from developers. Several data center developers also provided testimony, highlighting the economic benefits of their projects, including job creation and increased local revenues. They expressed concerns about the potential for a moratorium on future growth due to the new interconnection rules and emphasized the need for a collaborative approach to address water usage and environmental impacts. The committee plans to continue discussions on these topics in future hearings, with a focus on balancing economic growth with energy reliability and resource management.

Transcript Highlights:

• This is the advancement of data centers, artificial intelligence, machine learning capabilities, the
• the growth of artificial intelligence and machine Chairman: learning and all the new ways that it's serving
• Dan Diorio: The demand for data continues to grow rapidly, driven by cloud computing, artificial intelligence
• Artificial intelligence has changed everything about how the world thinks about energy and infrastructure
• intelligence.

Transcript Highlights:

• Okay, House Bill 2311, artificial intelligence service disclosures requirements.
• Rhonda: Madam Chair, members, House Bill 2371, arbitration divorce proceedings, artificial intelligence
• Miranda: Madam Chair, members, House Bill 2409, artificial intelligence statewide education program.
• The bill establishes the Arizona Artificial Intelligence Program within the Department of Education.
• Madam Chair, members, House Bill 2410, artificial intelligence, privileged communications.

Keywords: 1182, all

Summary: The caucus reviewed a long calendar of House bills across education, health, water, land, housing, labor, public safety, and taxation. Several measures dealt with artificial intelligence, including bills on AI disclosures for minors, AI-assisted divorce arbitration, an Arizona AI education program, AI privilege protections, and a required AI course in schools. Other topics included ESA administration funding, a prohibition on public money for certain foreign-controlled genetic sequencing devices, towing regulations, DUI and ignition interlock changes, health facility and nursing facility complaint timelines, internationally trained physicians, nurse anesthetist reimbursement, pharmacy penalties, childhood cancer research, cybersecurity encryption, school mental health instruction repeal, superintendent performance pay, adoption disclosures in student health settings, anti-Semitism in schools, and a range of water, land, and housing bills. Members frequently raised concerns about local control, unfunded mandates, constitutional issues, and the scope of state intervention. Several bills drew criticism for affecting school curriculum, public education, reproductive rights, protest activity, or tribal communities. Others were supported as technical fixes, consumer protections, or funding measures. The caucus also discussed a series of bills related to the Mexican gray wolf, state land management, solar and wind siting, groundwater transport, and rural development, with some members objecting that the proposals would undermine federal protections or tribal interests. A number of bills were pulled from consent for further discussion, including HB 2020, HB 2957, HCR 2044, HB 2352, HB 2667, HB 2906, HB 2093, HB 2386, HB 2481, HB 2830, HB 2076, HB 2411, HB 2136, HB 2665, and HB 2904. The meeting ended with an announcement of the Latino Caucus guest presentation and an emotional tribute to Reverend Jesse Jackson, followed by presentation of an Affordability Award to Representatives Lorena Austin and Stephanie Simacek for work on economic justice and working families. The caucus then adjourned.

Transcript Highlights:

• Artificial intelligence, or AI, is simply a tool.
• And yet, because it's a computer,<00:04:01.800> it's<00:04:02.000> not.
• And I find that to computer, it's not.
• 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

Keywords: 1187, senate, all