Bills: HB300, HB40, SB19, HB283, HB179, HB296, HB300, HB40, SB19, HB283, HB179, HB296

Keywords: HB300, Choctaw County, probate court, probate judge, recording fee, filing fee, deed tax, mortgage tax, deeds, mortgages, property records, recordation, county local act, local legislation, technology upgrades, digitalization of records, recordkeeping, county treasury, special fund, court administration

Transcript Highlights:

• , such as FEMA's Atlas 14 data.
• We can't keep up with data because we literally have so much development going on.
• It's hard to believe, but you look at the data, look at the data, why we need this.
• The program offers two forms of aid: matching grants and loans.
• So really, Representative Darby, this data supports adding an individual component to the matching grant

Bills: HB48, HB66, HB68, HB71, HB75, HB164, HB171, HB254, SB3, SB18, HB123, HB149, HB117

Keywords: HB 48, Texas alert notification systems, emergency alerts, public warning systems, alert fatigue, notification fatigue, Texas Division of Emergency Management, Department of Public Safety, DPS alerts, emergency management, State of Texas Emergency Assistance Registry, STEAR, disaster notifications, weather alerts, Amber Alert, Silver Alert, Blue Alert, missing persons alerts, accessible alerts, hearing impaired

Summary: The committee met in special session to hear a series of flood, preparedness, and youth-camp safety bills, with members repeatedly noting that many of the measures were intended as planning, warning, or authority-clarifying bills rather than direct spending bills. House Bill 254 would expand eligibility for the Rural Infrastructure Disaster Recovery Program to include Kerr County and 18 other flood-affected counties by raising the GDP cap and lowering the poverty threshold; it drew no opposition and was left pending. House Bill 68 would direct a study of flood mitigation in flatland areas, especially in the Rio Grande Valley, to develop cost-effective drainage and infrastructure recommendations; local officials and advocates supported it, and it was also left pending. The committee then heard several youth camp bills tied to the recent Hill Country flooding. House Bill 75 would impose flood-aware building and site standards for youth camps near floodplains, and House Bill 71 would require camps and youth activity entities to submit emergency preparedness plans to TDEM, coordinate with local responders, and maintain readiness protocols; both bills were supported by safety advocates and camp representatives, and both were left pending. House Bill 171 would require campgrounds near flood-prone waters to give written flood-risk notice to campers and obtain signed acknowledgment; it was presented as informed consent and left pending. Testimony on these bills emphasized Camp Mystic and other recent flood tragedies, with some witnesses urging broader building-code and floodplain reforms. The committee also heard House Bill 117, which would let counties regulate impervious cover for flood mitigation in unincorporated areas. Supporters, including county officials, environmental groups, and residents, argued that rapid development in the Hill Country and other growing areas is worsening runoff and downstream flooding; opponents from the builders’ association said counties already have substantial authority and warned about overreach into rural property use. After extensive testimony, the bill was left pending. Senate Bill 18 would streamline permitting for certain flood control districts to repair dams and reservoirs and build small holding areas, and it was left pending after supportive testimony from Plum Creek Conservation District. Senate Bill 3 would create a state-backed outdoor flood warning siren program for identified flood-prone areas, funded through a grant program; witnesses generally supported it, though some cautioned that sirens are not sufficient by themselves and may not be heard indoors or in overnight storms. It too was left pending. The committee also began hearing House Bill 149 on public-safety radio interoperability, but the transcript cuts off before the bill’s full testimony or action is shown.

Transcript Highlights:

• And that penalty matches the Judicial Data Protection Act and the penalties included in there.
• And that penalty matches the Judicial Data Protection Act and the penalties included in there.
• Um and that penalty matches um the<00:09:37.839> Judicial<00:09:38.240> Data<00:09:38.640
• Thus, publicly disclosing data, business data, without an owner's knowledge.
• that missing to get that missing data. that missing to get that missing data.

Bills: HF3676, HF2959, HF3233

Keywords: Safe at Home, address confidentiality, domestic violence, sexual assault, stalking, harassment, victim privacy, survivor protection, confidential address, protected address, secret address, identity protection, residential confidentiality, program participant, nondiscrimination, court disclosure, protective order, service of process, driver's license, state ID

Bills: HF2440

Keywords: labor market, employment, economic development, funding, data analysis, 1183, house

Transcript Highlights:

• that<00:27:48.720> is<00:27:49.440> uh Furthermore, this program does require a match
• , and so the higher education institution often will provide a match along with the business.
• education institution might provide $400,000, and then the business would provide the other $1.2 million. match
• So we match uh along with the business.

Bills: HF2440

Keywords: labor market, employment, economic development, funding, data analysis, 1183, house

Bills: SB 483, SB 522, SB 783, SB 1239, SB 1254, SB 1255, SB 1259, SB 1341, SB 1664, SB 1762, SB 1856, SB 1877, SB 1977

Keywords: utility, proprietary information, customer data, data protection, electric service, customer information, emergency communication, electric utility, privacy, certification, public accountants, interstate licensing, accounting, regulatory amendment, energy efficiency, construction regulations, building codes, Texas, sustainability, cost-effectiveness

Bills: SB 483, SB 522, SB 783, SB 1239, SB 1254, SB 1255, SB 1259, SB 1341, SB 1664, SB 1762, SB 1856, SB 1877, SB 1977

Keywords: utility, proprietary information, customer data, data protection, electric service, customer information, emergency communication, electric utility, privacy, certification, public accountants, interstate licensing, accounting, regulatory amendment, energy efficiency, construction regulations, building codes, Texas, sustainability, cost-effectiveness

Transcript Highlights:

• "Yes, here's the data." Mr. Larson. "Yes, here's the data." Mr. Larson.
• Um, we have process now where we have access to data that is private data, public, uh, secure data, uh
• with sensitive data.
• interacting with sensitive data. interacting with sensitive data.
• They handle sensitive data as it breach. They handle sensitive data as it is. is. is.

Bills: HF1234, HF3528, HF3672, HF3679, HF3680, HF1944

Keywords: payment transparency, public contracts, contractor rights, government accountability, construction payments, barbering, licensing, examinations, barber schools, public safety, certifications, Barber Examiners Board, data transparency, Legislative Budget Office, state agencies, fiscal notes, public data, standard time, federal law, time zone

Transcript Highlights:

• externally with any data centers whatsoever.
• How do you double-check that that data is? That's a wonderful question.
• You don't run out any data from a data center?
• The more data we have and the more data we're able to train, whether it's a large learning model or language
• And we've got providers that cannot include identifiable data in the provenance data about a person unless

Bills: SB1786

Keywords: artificial intelligence, content verification, provenance data, transparency, digital content, 1182, all

Summary: The committee first heard a presentation from Sonora Quest Laboratories on how the company is using artificial intelligence and innovation in clinical lab work. Testimony emphasized that AI is already being used in digital pathology, cytology, genetics, genomics, predictive analytics, and quality control, with a strong focus on human oversight, validation, and closed, secure systems that keep patient data in-house. Speakers said AI can improve accuracy, speed diagnosis, reduce repeat testing, support precision medicine and pharmacogenomics, and potentially help with rare disease management and drug selection, while also noting the need for governance and safeguards. Members asked questions about accuracy, safeguards, data security, whether AI could reduce repeat specimen collection, expand to other hospital labs, and how AI might affect treatment decisions such as step therapy and pharmacogenomics. The presenters said AI outputs are reviewed by specialists, that the systems are validated and monitored, and that the organization uses a closed ecosystem with no external data sharing. They also discussed future possibilities such as digital twins, earlier cancer detection, and more tailored medication choices, while acknowledging that AI is still developing and must be used carefully. The committee then took up Senate Bill 1786, as amended, which requires covered providers using generative AI to add provenance data to AI-created or significantly modified video, image, or audio content, using methods like watermarking or metadata, with exceptions for minor edits and certain interactive or non-user-generated content. The amendment clarified that identifiable individual information generally cannot be included unless the user opts in, protected trade secrets, and set an effective date of February 1, 2027. After discussion about consumer transparency, scope, and possible legal issues, the committee adopted the amendment and voted 4-2 with one absent to give SB 1786 as amended a do pass recommendation.

Transcript Highlights:

• access to data on motans like how how access to data on motans like how how many<00:51:18.000> times
• data will indeed be kept private?
• > vulnerable<00:52:32.240> people Minnesota's data on vulnerable people Minnesota's data on
• Nothing about protected data, nothing about private data that is included in there so that we can do
• Data Practices Act. Data Practices Act. >> Chair<01:37:16.400> Nor.

Bills: HF3378

Keywords: human services, Optum reports, data privacy, transparency, legislative oversight, 1183, house

Transcript Highlights:

• What about user data, Ms. Williams?
• Americans' user data ever compromised?
• And POP servers, as a technical. data center that brings the data closer to the end user.
• It would have American data, it would have Chinese users. of data and it would be on Chinese soil.
• Here they're willing to build data centers, store data in China, they are willing explicitly to give

Keywords: Meta, Facebook, whistleblower, regulation, China, user data, artificial intelligence, testimony, Congress

Summary: The meeting of the Senate Judiciary Subcommittee on Crime and Counterterrorism focused on oversight of Meta's foreign relations and representations to Congress. An essential witness, Sarah Wynne-Williams, a former executive at Facebook, provided testimony outlining significant concerns about the company's practices and its complicity in aiding oppressive regimes. The atmosphere was charged, with ongoing debates about the regulation of big tech companies and the ethical implications of their policies. The committee explored topics such as user data management, whistleblower retaliation, and the need for legislative measures to protect users and enhance accountability in the tech sector. A notable point of contention was Facebook's alleged cooperation with the Chinese government regarding the dissemination of user data and AI tools, leading to serious ethical implications.

Bills: HB4440, HJR1067, HJR1087, HB4426, HB3704, HB4311, HB3044, HB4191, HB3465, HB3972, HB3759, HB3625, HB1411, HB2980, HB3015, HB3147, HB3277, HB3323, HB3443, HB3882, HB3406, HB2975, HB3977, HB3263, HB2988, HB3404, HB1770

Keywords: Medicaid, low-income adults, healthcare, eligibility restrictions, constitutional amendment, Medicaid expansion, SoonerCare, health coverage, federal matching funds, FMAP, Article XXV-A, state question, special election, Title 63, public assistance, healthcare funding, federal-state match, Medicaid eligibility, Oklahoma Constitution, ad valorem

Transcript Highlights:

• Basically, this bill adds a definition of health data to the Minnesota Consumer Data Privacy Act.
• The consequence of classifying it as sensitive data is that that data cannot be sold or, in this case
• data.
• , which will include health data.
• is that considered health data?

Bills: SF1750, HF2700, HF1606, HF3356, HF3946, HF3970, HF3658, HF3875, HF2627, SF856, HF1268, HF1338

Keywords: common interest community, CIC, homeowners association, HOA, condominium, planned community, cooperative, unit owner, association board, declarant, declarant control, special declarant rights, assessment lien, foreclosure, late fees, fines, attorney fees, resale disclosure, annual report, maintenance plan

Transcript Highlights:

• Data will be provided to resource family partners, and this data will be used to help the resource partners
• So, so when with an investment of State dollars we might also see federal matching dollars.

Bills: SB1558, SB1983, SB1796, SB1806, SB1426, SB633

Keywords: child care, licensing, definitions, foster care, child welfare, SB1983, resource family partner, resource family partners, Department of Human Services, DHS, foster homes, foster children, placement data, data sharing, de-identified data, aggregated data, sibling groups, placement disruptions, foster parent recruitment, foster parent retention

Transcript Highlights:

• But all of a sudden this data was being used, and we've had a lot of discussion about data.
• I also had another question: Will those providers that are trying to sell this data or buy this data
• protections of that data.
• protections of that data.
• I mean, we have the data. We know we have the data.

Bills: SB40, SB104, SB136, SB164

Keywords: SB40, Driver Privacy and Safety Act, automated license plate reader, ALPR, license plate reader, vehicle surveillance, privacy, data sharing, law enforcement data, immigration enforcement, reproductive health care, gender-affirming care, civil liberties, surveillance, public records, Inspection of Public Records Act, New Mexico State Police, Department of Public Safety, data sovereignty, vehicle tracking

Transcript Highlights:

• There have been several data privacy bills introduced.
• We need to protect our data sovereignty.
• For another, the bill bans advertising using sensitive data.
• Is there a systemic epidemic in data breaches?
• HIPAA covered data, which is the. key data that these healthcare entities hold is exempted, as is any

Bills: SB20, SB53, SB86, SB96, SB129

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

Bills: HR17, HB385, HB406, HB787, HB1021, HB1058, HB1059

Keywords: education, investment, workforce development, TOPS, higher education, repayment, scholarships, academic eligibility, financial aid, athletics, high school sports, state report, student wellness, computer science, scholarship, curriculum requirements, workforce training, education funding, data administration, financial assistance

Transcript Highlights:

• to ensure data reliability.
• Manual matching, automated matching controls to match data and have some controls in transactions.
• So I built a model to pull in economic data, weather data, and all sorts of other information.
• Would he grab the state data and CMS do the match? Would you do a match to private data?
• 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's about arming the state and local leaders with data so that when taxpayer dollars... ...are spent
• , such as SEMA's Atlas 14 data.
• We can't keep up with the data because ...because we literally have so much development going on.
• the data, why we need it.
• So really, Representative Darby, this data supports adding an individual component to the matching grant

Bills: HB48, HB 66, HB 68, HB71, HB75, HB164, HB171, HB254, SB 3, SB 18, HB123, HB149, HB117

Keywords: HB 48, Texas alert notification systems, emergency alerts, public warning systems, alert fatigue, notification fatigue, Texas Division of Emergency Management, Department of Public Safety, DPS alerts, emergency management, State of Texas Emergency Assistance Registry, STEAR, disaster notifications, weather alerts, Amber Alert, Silver Alert, Blue Alert, missing persons alerts, accessible alerts, hearing impaired

Transcript Highlights:

• Minnesota has to provide that 25% match.
• It is important to just point out that this match program, if the match does not work for the Attorney
• required to do a match, including us. required to do a match, including us.
• the individual data from any data they need to make determinations in terms of updating their systems
• <01:19:37.520> does provider that has this data does provider that has this data does disclose

Bills: HF2354, HF3621, HF3429, HF3483

Keywords: medical assistance, fraud prevention, subpoena authority, criminal penalties, consumer protection, fraud, payment withholding, withheld payments, program integrity, public funds, state agency, program participant, credible allegation of fraud, administrative reconsideration, contested case, chapter 14, data practices, confidential data, protected nonpublic data, anti-fraud

Summary: The committee approved the minutes from March 5 by voice vote and welcomed new member Representative Van Binsbergen. It then took up House File 2354, which Chair Liebling moved to re-refer to the Public Safety Finance and Policy Committee. Representative Norris presented the bill as an updated version of the Medical Assistance Protection Act, aimed at strengthening the Attorney General’s Medicaid Fraud Control Unit, closing loopholes, equalizing fraud penalties, and increasing penalties for large-scale Medicaid fraud. Attorney General Ellison said the bill would add 18 specialized staff to the unit, moving it from 32 to 50 positions, and argued the federal-state matching structure makes the Attorney General’s office the proper home for the funding because the unit is dedicated to Medicaid fraud work. Nick Wonka, director of the Medicaid Fraud Control Unit, explained the bill’s provisions affecting committee jurisdiction: expanded subpoena authority to obtain financial account contents in provider-fraud investigations, conforming legal representation language to preserve the unit’s authority, venue changes to allow charging in counties where parts of the offense occurred, and a restitution change to let courts order restitution for related conduct in the same scheme. He said the subpoena change would speed investigations and align the Attorney General’s authority with other agencies, and that the restitution change would help recover more fraudulently obtained Medicaid funds. No public testimony was offered. Members questioned why the funding should go to the Attorney General’s office rather than the BCA, whether the new records authority was federally required, how the venue language would work across state lines, and whether the added FTEs indicated the fraud problem was larger than expected. Ellison and Wonka responded that the federal grant requires the work to stay within the Medicaid Fraud Control Unit, that the unit’s investigators are specialized and work with, but separate from, law enforcement, and that the venue provision applies only within Minnesota while out-of-state matters would be referred to the appropriate authorities. The amendment that had been posted was withdrawn and not offered.