Transcript Highlights:

• It's also any group that's part of the controlling group that controls the data.
• uh from<00:10:45.040> the<00:10:45.279> sale<00:10:45.440> of<00:10:45.600> data
• ,<00:10:45.920> then<00:10:46.160> you're from the sale of data, then you're from the
• sale of data, then you're you're<00:10:46.480> you're<00:10:47.040> covered<00:10:47.360
• ><00:11:07.360> the controlling group that controls the controlling group that controls the data

Bills: HB351, HB351

Keywords: ad valorem tax, road funding, local government, referendum, Choctaw County, data privacy, consumer rights, personal data, data protection, Alabama Personal Data Protection Act, 1136, house, all

Transcript Highlights:

• HOW DO WE DEAL WITH SUCH AS THE ATTORNEY ASKED AI HOW WITH THIS CASE AND HE ASKED FOR DATA AND IT GAVE
• THAT IS FROM OUR PERSPECTIVE A MICROCOSM OF AI. THE CENTER OF GRAVITY FOR AI IS INDUSTRIAL AI.
• THESE NEW TECHNOLOGIES ARE BRINGING THOUSANDS OF TERABYTES OF DATA TO THE IN INDUSTRIAL AI IT NEEDS TO
• BECAUSE YOU HAVE TO BUILD A DATA PILED TO START OUR TRAINING AI TOOL.
• WHILE SOME ROLLS WILL BE DISPLACED AT NEW EMERGING IN AI DEVELOPMENT, DATA GOVERNANCE, HUMAN AI COLLABORATION

Transcript Highlights:

• THAT'S WHAT WE DO HERE IS NOT TO LEVERAGE AI OR TEACH OUR STUDENTS ALL ABOUT AI AND FORGET ABOUT THE
• BEYOND THE TWO WORDS AI.
• THERE IS ALSO AI TECHNOLOGY THAT IS NOW BEING OFFERED TO MANAGE CALL CENTERS, THEY HANDLE BUSINESS FUNCTIONS
• AI CAN AUTOMATE THAT BY PULLING THE NECESSARY DATA FROM FAX DOCUMENTS IN REAL-TIME AND IN ONE HEALTH
• WE NEED TO KNOW ONE OF THE DATA THAT ARE USED TO GENERATE THE PREDICTED AI MODELS.

Transcript Highlights:

• Either what percentage of the data centers are AI or crypto mining?
• I doubt there's actually an up and operational AI-specific data center.
• Dan Diorio: There will be AI compute in a data center, but it won't be exclusively dedicated to AI.
• Prior witness just said, we really don't have AI data centers right now in Texas.
• So there are AI applications happening within data centers. Mr. Raymond: Got it.

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:

• use of AI, setting a public model for responsible, worker-centered AI adoption that could extend into
• 00:09:53.120> AI model for responsible worker centered AI model for responsible worker centered
• <00:20:55.960> used<00:20:56.280> as call centers where AI is being used as call centers
• And then it comes into the need of, you know, data centers, which is something that I've been talking
• something know data centers which is something know data centers which is something that<00:35:57.200

Keywords: 1187, senate, all

Transcript Highlights:

• So speaking specifically about data centers, what are we seeing for data centers in North Dakota?
• center on record, the worst data center we can find.
• Regarding the data center buildout specifically, the book *Empire of AI* chronicles the history of AI
• A similar example put the world on notice for the need for more data centers to train AI occurred with
• A similar example put the world on notice for the need for more data centers to train AI occurred with

Keywords: 908, all

Transcript Highlights:

• I doubt there's actually an up and operational AI-specific data center.
• Dan Diorio: There will be AI compute in a data center, but it won't be exclusively dedicated to AI.
• Prior witness just said, we really don't have AI data centers right now in Texas.
• So there are AI applications happening within data centers. Mr. Raymond: Got it.
• And AI and data centers and the work that you're doing and competing with China.

Transcript Highlights:

• We included a definition, a CDC Centers for Disease Control definition for chronic health condition and
• and advocates have made to Senate Bill 20, but Blue Cross still has concerns, and those concerns center
• We get about 2,000 calls a year into our resource center on this issue alone.
• We get about 2,000 calls a year into our resource center on this issue alone.
• What we hear in our Resource Center and from the seniors we meet with regularly all across New Mexico

Bills: SB20, SB21, SB166, SB177, SB181, SB189, SM6

Keywords: prior authorization, pharmacy benefits manager, PBM, health insurer, prescription drugs, step therapy, formulary, auto-adjudication, electronic portal, appeals, medical necessity, serious mental illness, mental health, schizophrenia, bipolar disorder, major depression, substance use disorder, addiction treatment, cancer, autoimmune disorder

Transcript Highlights:

• But there is no central data deposit anymore.
• The bill does not eliminate homeless navigation centers.
• data that it shows.
• to public schools versus those centers that are not near.
• Since 1907, the Center for Transforming Lives, formerly the YWCA, has served as the center for transforming

Bills: SB604, SB843, SB1636, SB2395, SB571, SB1224, SB1832, SB2392, SB747, SB2623, SB2624, SB2185

Keywords: bonds, education funding, Texas Permanent School Fund, financial transparency, speculative rating, school funding, deferred maintenance, tax revenue, education budget, school districts, education, finance, Texas Education Code, misconduct, child abuse, educators, investigation, criminal offense, education law, suspension

Transcript Highlights:

• My office has received this data from Austin Police Department as an example.
• . an elementary school without a navigation center in the vicinity.
• Again, the bill does not eliminate homeless navigation centers.
• versus those centers that are not near them.
• Since 1907, the Center for Transforming Lives, formerly the.

Bills: SB604, SB843, SB1636, SB2395, SB571, SB1224, SB1832, SB2392, SB747, SB2623, SB2624, SB2185

Keywords: bonds, education funding, Texas Permanent School Fund, financial transparency, speculative rating, school funding, deferred maintenance, tax revenue, education budget, school districts, education, finance, Texas Education Code, misconduct, child abuse, educators, investigation, criminal offense, education law, suspension

Transcript Highlights:

• bill does not mandate new inter- It simply ensures that Texas policymakers are informed with proper data
• is my honor to be a partner with McPar to package up the new transport vent thousands in our base center
• Be sure that we're using the best available data and making those other meteorologists talk to each other

Bills: HB 13, HB143, HB144, HB145, HB366, HB470, HB805, HB912, HB13, HB143, HB144, HB145

Keywords: emergency communication, infrastructure, first responders, grant program, interoperability, Texas Interoperability Council, local governments, HB 143, Texas Railroad Commission, Public Utility Commission of Texas, Natural Resources Code, oil and gas, well site, surface facility, electrical power line, National Electrical Code, NEC, electrical safety, utility disconnect, service disconnection

Transcript Highlights:

• If you're dealing with AI, I would ask you what AI is, but it's the new reality in this world.
• AI is used. Free and fair elections form the bedrock of our Constitution.
• and sounded the alarm about a lot of this stuff, especially AI.
• AI in elections. The feds were mentioned a little while ago.
• We talked a lot about AI deep fakes this morning.

Bills: HB 13, HB143, HB144, HB145, HB366, HB470, HB805, HB912, HB13, HB143, HB144, HB145

Keywords: emergency communication, infrastructure, first responders, grant program, interoperability, Texas Interoperability Council, local governments, HB 143, Texas Railroad Commission, Public Utility Commission of Texas, Natural Resources Code, oil and gas, well site, surface facility, electrical power line, National Electrical Code, NEC, electrical safety, utility disconnect, service disconnection

Transcript Highlights:

• in insertion of AI in data science in insertion of AI in data science in climate<00:54:33.200>
• located in large data centers that are located in large data centers that are located usually<01
• build those data centers um so in build those data centers um so in particular<01:21:38.120>
• to build data centers to support<01:22:05.239> Ai<01:22:06.199> and<01:22:06.440> AI
• data centers so the run in those large data centers so the necessity<01:23:10.639> for<01:23:

Keywords: 910, house, all

Transcript Highlights:

• So speaking specifically about data centers, what are we seeing for data centers in North Dakota?
• So speaking specifically about data centers, what are we seeing for data centers in North Dakota?
• Let's look for the thirstiest data center on record, the worst data center we can possibly find from
• Regarding the data center buildout specifically, the book *Empire of AI* chronicles the history of AI
• A similar example put the world on notice for the need for more data centers to train AI occurred with

Summary: The committee met in Grand Forks, approved the February 26 minutes by voice vote, and recessed for a tour of the Mincota Power Cooperative headquarters before returning for presentations on large energy consumers, especially data centers. The first presentations focused on how North Dakota should respond to rapid growth in energy-intensive projects, with speakers emphasizing the need for reliable transmission, local decision-making tools, and factual information for county and township officials who are being asked to weigh major projects with limited staff and technical support. The North Dakota Transmission Authority director said local governments are being asked to make high-impact decisions on pipelines, transmission lines, large agriculture, wind, solar, carbon dioxide pipelines, direct-air capture, and data centers, and urged development of simple statewide decision tools and support from the League of Cities and Association of Counties. The Department of Environmental Quality’s air division director said North Dakota’s air remains among the cleanest in the nation, but large data centers can create air-quality concerns because of diesel backup generation; he said the department is requiring air monitors at some facilities and expects grid power and, potentially, cleaner natural gas backup to reduce emissions. Members asked about emissions standards, misinformation, monitoring costs, and staffing succession at DEQ. The Department of Water Resources director said North Dakota’s water law is based on common ownership and prior appropriation, and that data centers generally use relatively small amounts of water, often in closed-loop systems. He said the Missouri River and groundwater supplies are ample for projected needs, that the department’s permitting process protects senior water rights, and that even a worst-case data center scenario would use a very small share of Missouri River flow. Members asked about downstream impacts and compared data center water use with fracking. Later, McLean County State’s Attorney Ladd Erickson urged the committee to study how other states regulate data centers, warned against litigation-driven delays and overly broad local ordinances, argued reclamation bonding should be handled at the state level if at all, and said data centers can bring jobs and tax base but should remain subject to local zoning. The committee ended the morning session for lunch and later heard an EERC update from CEO Charles Gorecki on the center’s 75 years of work in energy and environmental technologies, especially oil and gas development and related research.

Transcript Highlights:

• data is critical.
• Analytics Center.
• ...including AI.
• centers, whether it's the Center for Medicaid or the Center for Medicaid and CHIP services.
• To what data?

Keywords: artificial intelligence, waste reduction, fraud prevention, government efficiency, improper payments, data reliability, oversight

Summary: The meeting was chaired by Chairman Schweikert and involved a comprehensive discussion on how to utilize artificial intelligence (AI) for reducing waste, fraud, and improper payments within federal programs. Key witnesses, including Mr. Andrew Canarsa from the Council of the Inspectors General, provided insights on the potential of AI in enhancing government efficiency. The committee emphasized the importance of reliable data and thorough examination of AI application to avoid unintended consequences while addressing the estimated $162 billion in improper payments reported by the federal government. Concerns were raised regarding the recent firing of inspectors general and the impacts that could have on oversight and accountability processes.

Transcript Highlights:

• It is AI.
• Avatars are the representatives of the AIs, and to tether data to them is very important.
• the AI.
• ; So is the data integrated like the data >> So is the data integrated like the data from<00:45
• This is a proactive AI to arresting AI.

Keywords: 958, all

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

Transcript Highlights:

• Yeah, so I think that we're already seeing also the data centers that have popped up, and one is being
• So right now, data center is very hotly debated in the Labor Committee.
• So right now, data center is very hotly debated in the Labor Committee.
• So right now, data center is very hotly debated in the Labor Committee.
• So right now, data center is very hotly debated in the Labor Committee.

Keywords: 1187, senate, all

Transcript Highlights:

• Also, AI has a well-documented tendency toward bias, because it is trained on the data of our own history
• AI, by its design, relies on patterns and data and statistical associations.
• Who is centered for AI and digital policy that's noted in the analysis, just in follow up to his question
• Who is centered for AI and digital policy that's noted in the analysis, just in follow up to his question
• And the only official feedback we've received is that the Center for AI and Digital Policy would like

Summary: The committee heard several bills focused on artificial intelligence, child safety, mental health, and privacy. SB 574 by Senator Umberg would require transparency and human oversight when attorneys, judges, and court neutrals use AI; it drew support from privacy advocates and committee members, with no opposition. SB 1276, the End Child Exploitation Act, would update child sexual exploitation laws to cover live-streamed and AI-generated abuse material and clarify that viewing such content can be criminally punishable; prosecutors, child advocacy groups, and others supported it, while no one appeared in opposition despite opposition on file. SB 813 would create a California AI standards and safety commission and a voluntary two-tier certification framework for AI safety standards; supporters said it would create scalable, independent oversight, while TechNet and CalChamber opposed it as duplicative, under-defined, and likely to create a de facto mandate. The committee discussed market pressure, federal preemption concerns, and the role of voluntary standards, but no final vote was taken in the excerpt. Senator Padilla also presented SB 300, which would strengthen protections for minors from sexually explicit chatbot content by moving from a reasonableness standard to an affirmative duty to prevent such exposure and to prohibit facilitation. Supporters said new evidence showed greater risks and that companies can and should build stronger safeguards; opponents, including TechNet and CCIA, argued the bill was premature because SB 243 had only recently taken effect and warned it could create strict-liability-like exposure. Padilla then presented SB 903, which would bar AI chatbots from being advertised as therapists, require licensed clinician oversight and informed consent for AI use in psychotherapy, and protect patient confidentiality; it received broad support from mental health professionals and labor groups, while industry and health associations were opposed unless amended over triage and crisis-detection language. The committee members emphasized the need for human judgment in mental health care and noted ongoing negotiations on amendments. The committee also heard SB 1119, a companion to AB 2020, which would require annual risk assessments, crisis-response protocols, default child settings, parental controls, limits on data use, public incident reporting, and third-party audits for chatbots used by children. Supporters argued the bill would address documented harms and improve transparency, while industry groups objected to ambiguous standards, liability exposure, and the private right of action. A roll call vote was taken on SB 1119 after quorum was established; the motion to pass to Appropriations succeeded on a 5-1 vote, with one no vote and the measure left on call for absent members. Finally, SB 354, a privacy bill for insurance consumers, would modernize outdated insurance privacy rules, bar sale of personal information, and expand consumer rights to know, correct, and delete data. Supporters said it would implement Proposition 24’s privacy mandate, while a large coalition of insurers, agents, brokers, and related businesses opposed unless amended, mainly seeking a small-business exemption and narrower treatment of publicly available information; members and the author said negotiations were ongoing and the bill had already been substantially revised.

Transcript Highlights:

• They are a center within the BCA that collects and shares data across state and federal government entities
• They are a center within the BCA that collects and shares data across state and federal government entities
• center.
• Hey, let's put all the location<01:15:20.719> data location data location data historically<01
• Automated record systems, AI-assisted tools, and interagency data sharing increasingly determine what

Keywords: 919, house, all

Summary: The committee continued its hearing on enforcement and compliance with the Minnesota Government Data Practices Act, first taking additional public testimony from Melissa Zimmerman and Matt Senot of the East Side Corridor residents in Owatonna. They described submitting roughly two dozen data requests across several government entities related to a proposed highway project, saying some agencies responded but others did not, and that even after they substantially prevailed in a data practices complaint and the court imposed a maximum civil penalty, they still did not receive meaningful access to the records. Zimmerman said the lack of access harmed their ability to comment on the project’s environmental review, and both witnesses argued that the law needs stronger enforcement, realistic timelines, better communication, and more accessible remedies for requesters who cannot afford repeated litigation. They also raised practical barriers such as inaccessible file formats, missing software on a county-provided laptop, and the need for electronic delivery options. The committee then heard from Eric Johnson of Anoka County, who testified about Chapter 13 issues involving third-party polygraph data used in probation monitoring. He argued that when the state relies on third-party-generated summaries, the responsible authority’s obligations for access, retention, and correction are unclear, and there is no effective remedy when the third party does not respond. Johnson said the county directed him to seek raw data from the third party, which had not responded, and he warned that short retention periods can make data subject rights unenforceable if the records are destroyed before a request is resolved. Members asked about statutory citations and retention schedules, and several commented that the issue may warrant review of data-retention rules. During member discussion, legislators broadly agreed that the Data Practices Act’s enforcement mechanisms are not working well enough and that many requesters cannot afford to pursue administrative or court remedies. Co-Chair Scott suggested staff compile the testimony into a report to identify possible legislative fixes, while Senator Lucero said there may be some “low-hanging fruit” that could be addressed quickly in the short session. The chair also floated the idea of involving the Office of Collaboration and Dispute Resolution in a mediation role to improve communication and reduce gridlock, though members noted that any process would still need to produce results consistent with the law. The committee then moved on to its next agenda item, a discussion of the BCA Fusion Center and its annual reporting requirements.

Transcript Highlights:

• Does DOE actually collect this data?
• I looked at the data, everybody.
• When I looked at the data, the data demonstrated something I found interesting.
• So E-Verify is only as good as the data that goes into it, and the data is messed up.
• It's all about what we do with the data; it depends on the quality of the data.

Bills: SB 5, SJR 3, HB 11, HJR 72, HB 48, HB 27, HB 144, HB 37, HB 1481, HB 581, HB 1696, HB 2216, HB 1035, HB 1633, HB 742, HB 754, HB 1689, HB 1690, HB 2669, HB 391, HB 517, HB 1775, HB 1024, HB 1607, HB 252, HB 1716, HB 1562, HB 4116, HB 1866, HB 1741, HB 2103, HB 2637, HB 2884, HB 3707, HB 503, HB 1089, HB 1757, HB 2986, HB 972, SB 365, SB 1786, SB 5, SJR 3, HB 14, HB 43, HB 36, HB 26, HB 149, HB 121, HB 206, HB 136, HB 3114, HB 2733, HB 1732, HB 3700, HB 467, HB 1130, HB 1846, HB 1442, HB 1147, HB 2176, HB 2701, HB 805, HB 2890, HB 1154, HB 1644, HB 2118, HB 1718, HB 2488, HB 2596, HB 2468, HB 484, HB 2578, HB 3204, HB 1041, HB 307, HB 685, HB 538, HB 2525, HB 3125, HB 2027, HB 2894, HB 3077, HB 106, HB 18, HB 11, HJR 72, HB 48, HB 27, HB 144, HB 37, HB 1481, HB 581, HB 1696, HB 2216, HB 1035, HB 1633, HB 742, HB 754, HB 1689, HB 1690, HB 2669, HB 391, HB 517, HB 1775, HB 1024, HB 1607, HB 252, HB 1716, HB 1562, HB 4116, HB 1866, HB 1741, HB 2103, HB 2637, HB 2884, HB 3707, HB 503, HB 1089, HB 1757, HB 2986, HB 972

Keywords: dementia, research institute, Alzheimer's disease, Parkinson's disease, funding, grants, state health initiatives, research funding, state budget, prevention, healthcare, medical research, Dementia Prevention and Research Institute, licensing, reciprocity, regulation, Texas Department of Licensing and Regulation, interstate agreements, tax exemption, intellectual disability