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

Bills: HR206, SB3083, SB2377, SB2816, SB3248, SB2436, SB2259, SB2928, SB2577, SB2697, SB2399, SB2665, SB2851, SB3102, SB2521, SB3157, SB3255, SB3016, SB2765, SB1432, SB17, SB2401, SB2972, SB3014, SB3032, SB3137, SB847, SB2261, SB2271, SB2272, SB2804, SB3007, SB3019, SB3250, SB2603, SB3022, SB2256, SB2147, SB2014, SB2114, SB2115, SB2117, SB2246, SB2519, SB3055, SB3095, SB3144, SB3264, SB2325, SB2211, SB3245, SB2090, SB2803, SB2866, SB2250, SB2497, SB2032, SB2487, SB3136, SB2756, SB2615, SB3262, SB2024, SB2177, SB2552, SB2319, SB2407, SB2153, SB2321, SB2805, SB3010, SB2892, SB2781, SB2489, SB2174, SB2169, SB3123

Keywords: Robert Bob Toyofuku, Hawaii legal community, House Resolution, commendation, honorary resolution, legal education, continuing legal education, CLE, William S. Richardson School of Law, University of Hawaii law school, Pacific Law Institute, attorney training, legal ethics, professional responsibility, legal mentorship, legal profession, court-annexed arbitration, alternative dispute resolution, appellate decisions, Hawaii Supreme Court

Transcript Highlights:

• Finally, some data: corporate tax revenues in 2019... 2020 were $1.67 billion.
• This young person needed that type of outcry, so it's important to collect data.
• The data is very startling for me, and it really hits all.
• The data says if I get a high school diploma, I will make $42,000 a year, and the data says if I don't
• The purpose of questions is not to provide data to the body. Can you please provide a question?

Bills: HB 118, HB 388, HB 114, HB 205, HB 2789, HB 2791, HB 499, HB 2960, HB 3163, HB 3135, HB 2427, HB 1618, HB 1672, HB 1722, HB 1338, HB 787, HB 2618, HB 879, HB 1126, HB 4134, HB 3513, HB 718, HB 1536, HB 1445, HB 1640, HB 1893, HB 1734, HB 3229, HB 3306, HB 1276, HB 3272, HB 3276, HB 3516, HB 4145, HB 1585, HB 4810, HB 2989, HB 2558, HB 3014, HB 2742, HB 1695, HB 29, HB 125, HB 145, HB 171, HB 255, HB 50, HB 363, HB 116, HB 491, HB 1495, HB 368, HB 1285, HB 1905, HB 2002, HB 917, HB 2723, HB 2067, HB 1238, HB 745, HB 1188, HB 1606, HB 2003, HB 2147, HB 2355, HB 2546, HB 2495, HB 2818, HB 2249, HB 3228, HB 3240, HB 1507, HB 658, HB 1748, HB 1851, HB 1922, HB 2798, HB 107, HB 1587, HB 3684, HB 118, HB 388, HB 114, HB 205, HB 2789, HB 2791, HB 499, HB 2960, HB 3163, HB 3135, HB 2427, HB 1618, HB 1672, HB 1722, HB 1338, HB 787, HB 2618, HB 879, HB 1126, HB 4134, HB 3513, HB 718, HB 1536, HB 1445, HB 1640, HB 1893, HB 1734, HB 3229, HB 3306, HB 1276, HB 3272, HB 3276, HB 3516, HB 4145, HB 1585, HB 4810, HB 2989, HB 2558, HB 3014, HB 2742, HB 1695, HB 609, HB 630, HB 420, HB 767, HB 1708, HB 1404, HB 2457, HB 140, HB 227, HB 913, HB 2198, HB 2763, HB 1261, HB 1135, HB 1318, HB 2358, HB 2765, HB 2735, HB 3307, HB 1242, HB 2842, HB 333, HB 201, HB 694, HB 2415, HB 155, HB 272, HB 405, HB 519, HB 1136, HB 1275, HB 1437, HB 1532, HB 1675, HB 1868, HB 1888, HB 1990, HB 2286, HB 2523, HB 3129, HB 3251, HB 3354, HB 3479, HB 3803, HB 3804, HB 3805, HB 3806, HB 3887, HB 4163, HB 4238, HB 1240, HB 1842, HB 2029, HB 2622, HB 3255, HB 654, HB 4643, HB 4945, HB 3611, HB 3724, HB 3623, HB 3810, HB 4127, HCR 78, HCR 12, SB 767

Keywords: HB 388, HB388, coordination of benefits, COB questionnaire, health benefit plan, health insurance, insurance commissioner, Texas Department of Insurance, uniform form, primary payer, secondary payer, multiple coverage, dual coverage, Medicaid, CHIP, managed care, HMO, small employer health plan, school district health coverage, self-funded plan

Transcript Highlights:

• HB 1606 by Metcalfe relating the notice provided to a Retail electronic customer of a procedure for requesting
• mr mccuff thank you mr speaker members this bill requires utility to provide information on how customers
• they need in terms of research, support, and resources. is that the research that's gathered, the data

Bills: HB 118, HB388, HB 114, HB205, HB2789, HB2791, HB499, HB2960, HB3163, HB3135, HB2427, HB1618, HB1672, HB1722, HB1338, HB787, HB2618, HB879, HB 1126, HB4134, HB3513, HB718, HB1536, HB1445, HB1640, HB1893, HB1734, HB3229, HB3306, HB 1276, HB3272, HB3276, HB3516, HB4145, HB1585, HB4810, HB2989, HB2558, HB3014, HB2742, HB1695, HB29, HB 125, HB145, HB171, HB255, HB50, HB363, HB 116, HB491, HB1495, HB368, HB 1285, HB1905, HB2002, HB917, HB2723, HB2067, HB 1238, HB745, HB 1188, HB1606, HB2003, HB2147, HB2355, HB2546, HB2495, HB2818, HB2249, HB3228, HB3240, HB1507, HB658, HB1748, HB1851, HB1922, HB2798, HB 107, HB1587, HB3684, HB 118, HB388, HB 114, HB205, HB2789, HB2791, HB499, HB2960, HB3163, HB3135, HB2427, HB1618, HB1672, HB1722, HB1338, HB787, HB2618, HB879, HB 1126, HB4134, HB3513, HB718, HB1536, HB1445, HB1640, HB1893, HB1734, HB3229, HB3306, HB 1276, HB3272, HB3276, HB3516, HB4145, HB1585, HB4810, HB2989, HB2558, HB3014, HB2742, HB1695, HB609, HB630, HB420, HB767, HB1708, HB1404, HB2457, HB140, HB227, HB913, HB2198, HB2763, HB 1261, HB 1135, HB1318, HB2358, HB2765, HB2735, HB3307, HB 1242, HB2842, HB333, HB201, HB694, HB2415, HB155, HB272, HB405, HB519, HB 1136, HB 1275, HB1437, HB1532, HB1675, HB1868, HB1888, HB1990, HB2286, HB2523, HB3129, HB3251, HB3354, HB3479, HB3803, HB3804, HB3805, HB3806, HB3887, HB4163, HB4238, HB 1240, HB1842, HB2029, HB2622, HB3255, HB654, HB4643, HB4945, HB3611, HB3724, HB3623, HB3810, HB4127, HCR78, HCR12, SB767

Keywords: HB 388, HB388, coordination of benefits, COB questionnaire, health benefit plan, health insurance, insurance commissioner, Texas Department of Insurance, uniform form, primary payer, secondary payer, multiple coverage, dual coverage, Medicaid, CHIP, managed care, HMO, small employer health plan, school district health coverage, self-funded plan

Transcript Highlights:

• Um if that participant's data.
• Thus, publicly disclosing data, business data, without an owner's knowledge.
• Right now, the data in opposite.
• 13.51 in the Data Practices Act.
• 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: SB2097, SB2317, SB2319, SB2177, SB2190, SB2424, SB2524, SB2627, SB3084, SB895, SB896, SB3102, SB3157, SB3215, SB2050, SB2090, SB2211, SB2572, SB2096, SB2025, SB2127, SB2046, SB2262, SB2354, SB2387, SB2487, SB2955, SB3234, SB2851, SB2573, SB2391, SB3282, SB3055, SB2189, SB2194, SB3152, SB2635, SB888, SB2203, SCR1, SCR2, SCR3, SCR4, SCR5, SCR6, SCR7, SCR8, SCR9, SCR10, SCR11, SCR12, SCR13, SCR14, SCR15, SCR16, SCR17, SCR18, SCR19, SCR20, SCR21, SCR22, SR3, SR5, SR6, SR7, SR8, SR9, SR10, SR11, SR12, SR13, SR14, SR15, SR16, SR17, SR18, SR19, SB2010, SB3118, SB3276

Keywords: sustainable agriculture, climate adaptation, food system resilience, grant program, Hawaii agriculture, agriculture, insurance, small producers, state support, biosecurity, farm coverage, public-private partnerships, agricultural policy, grant funding, food security, climate resiliency, housing development, zoning exemption, government assistance, affordable housing

Bills: SB2097, SB2317, SB2319, SB2177, SB2190, SB2424, SB2524, SB2627, SB3084, SB895, SB896, SB3102, SB3157, SB3215, SB2050, SB2090, SB2211, SB2572, SB2096, SB2025, SB2127, SB2046, SB2262, SB2354, SB2387, SB2487, SB2955, SB3234, SB2851, SB2573, SB2391, SB3282, SB3055, SB2189, SB2194, SB3152, SB2635, SB888, SB2203, SCR1, SCR2, SCR3, SCR4, SCR5, SCR6, SCR7, SCR8, SCR9, SCR10, SCR11, SCR12, SCR13, SCR14, SCR15, SCR16, SCR17, SCR18, SCR19, SCR20, SCR21, SCR22, SR3, SR5, SR6, SR7, SR8, SR9, SR10, SR11, SR12, SR13, SR14, SR15, SR16, SR17, SR18, SR19, SB2010, SB3118, SB3276

Keywords: sustainable agriculture, climate adaptation, food system resilience, grant program, Hawaii agriculture, agriculture, insurance, small producers, state support, biosecurity, farm coverage, public-private partnerships, agricultural policy, grant funding, food security, climate resiliency, housing development, zoning exemption, government assistance, affordable housing

Bills: HF2440

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

Transcript Highlights:

• Major's staff are looking for any and all programs that are available, and we try to do as much customer
• do<00:32:19.760> uh<00:32:20.000> as<00:32:20.320> much<00:32:20.640> customer
• <00:32:21.120> service we try to do uh as much customer service we try to do uh as much customer
• So it's pretty important for our customized training units at our higher education institutions, particularly
• <00:42:33.920> training important for our uh customized training important for our uh customized

Bills: HF2440

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

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:

• "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:

• Data will be provided to resource family partners, and this data will be used to help the resource partners

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:

• 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.

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

Bills: SJR3, SB5, SJR36, SJR3, SB616, SB565, SB384, SB5, SB21, SB72, SB140, SB262, SB370, SB372, SB495, SB627, SB703, SB764, SB842, SB971, SB790, SB767, SB480, SB1066

Keywords: dementia, Alzheimer's disease, Parkinson's disease, research funding, state budget, prevention, healthcare, medical research, Dementia Prevention and Research Institute, research institute, funding, grants, state health initiatives, aquifer, water management, Edwards Aquifer, sustainability, regulatory framework, SB 565, Texas Water Code

Transcript Highlights:

• There have been several data privacy bills introduced.
• We need to protect our data sovereignty.
• To find their customers.
• 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.
• The Postal Service OIG uses data-driven insights to analyze millions of customer complaints to recognize
• 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.