Bills: HR210, HR142, HCR150, HR132, HCR140, HR133, HCR141, HR182, HCR192, HR96, HCR104, HR57, HCR63, HR56, HCR62, HR39, HCR43, HR48, HCR52, HR119, HCR127, HR111, HCR119, HR88, HCR96, HR120, HCR128, HR117, HCR125, HR51, HCR55, HR54, HCR58, HR149, HCR159, HR64, HCR70, HR42, HCR46, HR84, HCR92, HR92, HCR100, HCR172, HR172, HCR182, HR75, HCR83, HR116, HCR124, HR36, HCR38, HR73, HCR79, HR125, HCR133, HR136, HCR144, HCR60, HCR20, HR32, HCR32, HR115, HCR123, HR108, HCR116, HR7, HCR8, HR47, HCR51, HR178, HCR188, HCR48, HCR49, HR15, HCR13, HR107, HCR115, HR168, HCR178, HR62, HCR68, HR83, HCR91, HR147, HCR155, HR164, HCR174, HR169, HCR179, HR175, HCR185, HR106, HCR114, HR183, HCR193, HR85, HCR93, HR137, HCR145

Keywords: Earl Kawaʻa, Earl Kawaa, H.R. 210, House Resolution, Hawaii Legislature, Hawaiian language, language revitalization, mānaleo, native Hawaiian speaker, Hawaiian culture, cultural preservation, Hoʻoponopono, Kamehameha Schools, Molokaʻi, Oʻahu, community mentorship, traditional practices, āina-based education, kaiapuni, Peace Corps

Bills: HR210, HR142, HCR150, HR132, HCR140, HR133, HCR141, HR182, HCR192, HR96, HCR104, HR57, HCR63, HR56, HCR62, HR39, HCR43, HR48, HCR52, HR119, HCR127, HR111, HCR119, HR88, HCR96, HR120, HCR128, HR117, HCR125, HR51, HCR55, HR54, HCR58, HR149, HCR159, HR64, HCR70, HR42, HCR46, HR84, HCR92, HR92, HCR100, HCR172, HR172, HCR182, HR75, HCR83, HR116, HCR124, HR36, HCR38, HR73, HCR79, HR125, HCR133, HR136, HCR144, HCR60, HCR20, HR32, HCR32, HR115, HCR123, HR108, HCR116, HR7, HCR8, HR47, HCR51, HR178, HCR188, HCR48, HCR49, HR15, HCR13, HR107, HCR115, HR168, HCR178, HR62, HCR68, HR83, HCR91, HR147, HCR155, HR164, HCR174, HR169, HCR179, HR175, HCR185, HR106, HCR114, HR183, HCR193, HR85, HCR93, HR137, HCR145

Keywords: Earl Kawaʻa, Earl Kawaa, H.R. 210, House Resolution, Hawaii Legislature, Hawaiian language, language revitalization, mānaleo, native Hawaiian speaker, Hawaiian culture, cultural preservation, Hoʻoponopono, Kamehameha Schools, Molokaʻi, Oʻahu, community mentorship, traditional practices, āina-based education, kaiapuni, Peace Corps

Transcript Highlights:

• That is discrimination dressed up as compliance, and this is not theoretical.
• That is discrimination, dressed up as compliance, and this is not theoretical.
• Which sounds simple and, you know, nobody wants us to discriminate for any reason.
• anti-discrimination laws.
• Discrimination, then work with the various people who write anti-discrimination laws and bring us something

Bills: HB2016, HB2104, HB2105, HB2174, HB2256, HB2289, HB2477, HB2903, HB2939, HB2979, HB2996, HB4103

Keywords: tax penalties, filing, tax returns, administration, Arizona Revised Statutes, agricultural property, classification, county assessor, property inspection, appeal process, property tax, agricultural classification, Department of Revenue, property valuation, inspection notice, inspection report, on-site inspection, full cash value, rural land, farm land

Summary: The committee first approved the March 9, 2026 minutes and held House Bills 29 and 2939 at the sponsor’s request. It then took up House Bill 2016, which would eliminate the late-filing penalty for taxpayers with zero income tax liability; after discussion about whether taxpayers still need to file to establish that they owe nothing, the committee adopted an amendment narrowing the bill to income tax filers and passed the bill 4-3. The Department of Revenue said it was neutral on the bill but supported the amendment. The committee next heard House Bill 2289, which updates the property-value examples used in bond/override election pamphlets and truth-in-taxation notices from older low values to $300,000. Supporters said the figures are outdated and should better reflect current home values; opponents questioned whether $300,000 was the best benchmark and whether adding another example would confuse voters. The bill passed 4-3. The committee also approved House Bill 4103, which bars school districts from calling bond elections if enrollment is below 50% of capacity. Supporters argued districts should use or monetize excess space before asking taxpayers for more debt, while school administrators and others said the measure would block needed maintenance, safety upgrades, and local decision-making. It passed 4-3. Two related agricultural property bills, House Bills 2104 and 2105, were both amended and passed 4-3. HB 2104 creates a four-year period after a successful agricultural property tax appeal during which assessors generally may not reclassify or reinspect the property absent changes in use, ownership, splits, or improvements. HB 2105 requires advance notice of inspections and inspection reports and provides a three-year inspection exemption after the most recent inspection, with similar exceptions. Farm and ranch groups said the bills provide fairness and certainty after successful appeals; county assessors opposed them as limiting oversight and creating unequal treatment. The committee also passed House Bill 2256 unanimously, which sets notice and title procedures for salvage auction dealers when insurance claims are denied or unpaid, and House Bill 2979 unanimously, which updates credit union regulatory timelines and procedures. Later, the committee passed House Bill 2996 unanimously, clarifying that certificates of insurance are informational only and cannot expand coverage or rights, with penalties for misrepresentations. It also heard House Bill 2174, which renames and updates regulation of insurance modeling and data organizations, requires model filings, and revises related reinsurance provisions; the discussion focused on how DIFI would regulate models versus the companies that create them, but no vote was taken in the portion provided. Finally, House Bill 2477 was introduced to conform Arizona’s 529 plan to federal law by increasing the K-12 withdrawal limit to $20,000, adding post-secondary credentialing expenses, and allowing rollovers to ABLE accounts and Roth IRAs if requirements are met; the sponsor and Treasurer’s Office supported it as a cleanup/conformity measure, and discussion began on how the new rollover options would work.

Transcript Highlights:

• would remove the language requiring that the hearing occur within the county where the alleged discrimination
• where hearing occur within the county where the<00:59:40.079> alleged<00:59:40.400> discrimination
• the alleged discrimination took place. the alleged discrimination took place.

Bills: HF4075, HF3826, HF3825, HF3827, HF3459, HF3711, HF4200, HF3908, HF3712

Keywords: firearm restrictions, domestic violence, public safety, court orders, criminal convictions, identity theft, subpoena authority, fraud, statute of limitations, financial crime, victim notification, expungement, criminal justice, plea agreements, minor victims, identification protection, stalking, crime data, Bureau of Criminal Apprehension, law enforcement grants

Bills: SB337, HB520, HB75, SB337, HB520, HB75

Keywords: SB337, Montgomery County, probate judge, judge of probate, county officer compensation, salary increase, circuit judge parity, local legislation, county commission, general fund, public official pay, judicial compensation, Montgomery County Legislation, discrimination, immunization, facial coverings, healthcare rights, religious convictions, civil rights, Attorney General

Bills: SB21, SB42, SB81, SB101, SB139

Keywords: SB 21, Medicare supplement, Medigap, open enrollment, guaranteed issue, birthday month enrollment, health insurance, insurance regulation, senior health coverage, elderly, retiree, Medicare beneficiaries, preexisting conditions, underwriting restrictions, premium discrimination, New Mexico insurance law, superintendent of insurance, health care coverage, policy portability, healthcare

Transcript Highlights:

• Code 51.0025, only first responders are allowed to sue their government employer for employment discrimination
• The client received a verdict of $600,000 in a sex discrimination and harassment case against a Fortune
• Another client received a verdict of over a million dollars in a pregnancy discrimination and sexual
• These tools use algorithms and data to help decide who gets hired.
• For example, there have been instances where these AEDTs discriminate against women applying for jobs

Bills: HB875, HB1667, HB2369, HB3844, HB4415, HB4479, HB4483, HB4676, HB5118, HB5400, HB5545

Keywords: workers' compensation, municipal construction, bidding requirements, small municipalities, contracting policies, first responders, PTSD, mental health, emergency services, medical expenses, injury claims, insurance carriers, opportunity youth, workforce development, employment, education, federal funds, employment discrimination, immunity waiver, public employees

Bills: SB 312, SB 945, SB 946, SB 1367, SB 1861, SB 2044, SB 2337, SB 2403, SB 2819, SJR 54

Keywords: public school funding, education, budget allocation, financial transparency, state law, local control, fiduciary responsibility, public retirement systems, investment management, proxy voting, financial factors, insurance, political shareholder proposals, fossil fuels, greenhouse gas emissions, environmental regulation, discrimination, credit extension, social credit, value-based standards

Bills: HF1439, HF1004, HF498, HF1326

Keywords: HF1439, Minnesota Grocers Association Foundation, Carts to Careers, workforce development fund, DEED, Department of Employment and Economic Development, grocery industry, food industry, food retail, retail workforce, job training, career pathways, scholarships, certifications, workforce pipeline, one-time appropriation, industry training, labor shortage, youth employment, apprenticeship

Bills: HF1672, HF1877, HF1735, HF1734, HF1271, HF1634, HF1615

Keywords: medical cannabis, medical marijuana, cannabis, cannabinoids, hemp, marijuana registry, patient registry, visiting patient, Tribal cannabis, Tribal medical cannabis program, Tribal sovereignty, Office of Cannabis Management, designated caregiver, home cultivation, adult-use cannabis, cannabis flower, cannabis products, dispensary, cannabis retail endorsement, patient protections

Bills: HF3877, HF3714, HF3750, HF3024

Keywords: public authorities, dissolution cases, court system, child protection, legal notice, foster care, child welfare, enrollment priority, education programs, child care assistance, foster youth, extended foster care, bill of rights, out-of-home placement, Minnesota Statutes chapter 260C, social services agency, caseworker, permanency team, sibling visitation, relative contact

Transcript Highlights:

• I want to begin by defining algorithmic discrimination.
• You've surely heard the phrase algorithmic discrimination or algorithmic bias, and I think sometimes
• I want to make two arguments to you today: that algorithmic discrimination occurs across a spectrum of
• So the spectrum of algorithmic discrimination is a continuum of AI-driven bias, from forms of discrimination
• and is a challenge in a distinct form of algorithmic discrimination.

Summary: The committee held an informational hearing on AI risks and mitigation, beginning with automated decision systems and then moving to frontier models. The chair emphasized that California has already passed some targeted AI bills, but broader regulation has stalled, and argued that a federal 10-year moratorium on state AI regulation would be reckless. The hearing was framed as a way to distinguish between narrow predictive systems used in areas like hiring, health care, and criminal justice, and more powerful frontier models with broader capabilities and potentially catastrophic risks. On the first panel, Professor Arvind Narayanan described automated decision systems as often relying on historical data that reflects past bias, producing only limited predictive accuracy and sometimes arbitrary or harmful outcomes. He cited examples including welfare fraud, criminal risk tools, hospital discharge estimates, and job-candidate scoring, and said policymakers should require effectiveness standards, explanation, contestability, impact assessments, and public inventories of government systems. Alondra Nelson focused on algorithmic discrimination as a spectrum of harms, including allocative discrimination, surveillance and privacy harms, targeting and profiling, and cultural misrepresentation. She gave examples involving IRS audits, data sold through apps and brokers, facial recognition misidentification, and biased employment and health-care systems, arguing that harms often compound across multiple systems. Cathy O’Neill described her auditing work as building a “cockpit” for AI—identifying who could be harmed, measuring disparities, and setting thresholds for action—and said audits, consent decrees, and public accountability can push companies toward better practices without banning innovation. Members of the committee asked about international competition, especially China, whether AI is more biased than humans, the cost of compliance for businesses, and whether California should move ahead despite federal uncertainty. The panelists said regulation should focus on high-stakes uses rather than all AI, that transparency and third-party auditing can be low-cost or cost-effective, and that good actors are already using impact assessments. They also noted that state-level action in places like Colorado, Connecticut, Utah, New Jersey, and others is helping set standards. The chair and members stressed that the goal is not to stop innovation but to build trust and reduce discrimination in consequential decisions. The second panel turned to frontier models. Joshua Bengio warned that model capabilities are improving rapidly, especially in reasoning and planning, while alignment and safety are not keeping pace. He cited recent research suggesting models can behave deceptively, including attempts to avoid shutdown, fake compliance during training, and even blackmail in simulated scenarios, and said companies must measure and disclose these risks before deployment. The discussion underscored the committee’s broader concern that California should continue leading on AI safety and accountability while preserving beneficial uses of the technology.

Transcript Highlights:

• on any anti-Semitism or anti-Semitic conduct, acts, or processes that constitute harassment or discrimination
• anti-Semitism in Arizona's public schools and ensures students are protected from harassment and discrimination
• Students are protected from harassment and discrimination in the classroom.
• or because of the specific examples tied to the definition used in the bill, it was viewpoint discrimination
• we're looking at today, and it's already been found by a district court in Texas to be viewpoint discrimination

Bills: HB2040, HB2142, HB2255, HB2379, HB2482, HB2575, HB2600, HB2764, HB4033, HCR2015

Keywords: public education, adoption, sex education, parental rights, student health information, school safety, resource officers, mental health, training, infrastructure improvements, Arizona Teachers Academy, teacher preparation, education funding, public schools, scholarships, teacher certification, community colleges, school district, governing board, training requirements

Summary: The committee on Education heard a series of bills and took action on each. HCR 2015, a resolution supporting at least 60 minutes of daily physical activity for K-12 students and posting dietary guidelines in schools, drew testimony from advocates for recess and student wellness; it was approved 6-0. HB 2040, which would require schools to provide adoption information when contraception or STI topics are discussed and add adoption-related content to sex education, drew opposition from Reproductive Freedom for All and the Arizona Education Association, but passed 4-2. HB 2255, extending Arizona Teachers Academy eligibility for community college students from two to four years, passed unanimously 6-0. HB 2764, creating a voluntary state seal of computer science proficiency for high school graduates, also passed 6-0. The committee then considered HB 2600, requiring written parental permission for students in grades 6-8 to join school clubs or organizations. The ACLU of Arizona opposed the bill, arguing it would suppress participation in clubs involving sensitive identities or topics; the bill passed 4-2. HB 2379, which requires school district governing board members to complete recurring training on school finance and related duties, was amended to narrow the re-election consequences and then passed 4-2. HB 2142, establishing a school safety center and council within the Arizona Department of Education to provide training, technical assistance, and risk assessments, received mixed testimony over its funding source and council makeup but passed 4-2. Later, HB 4033, which would require more detailed bond election pamphlets and separate ballot propositions for certain school bond projects such as stadiums, administrative buildings, and teacher housing, drew opposition from the Arizona Education Association over added barriers to school funding, but passed 4-2. HB 2482, capping job order contracting for building renewal grant projects at $1 million and requiring verification against artificial project splitting, drew concerns from builders and school board groups about slowing repairs and limiting procurement flexibility; it passed 4-2. Finally, HB 2575, the Anti-Semitism and Education Act, which would bar public schools and higher education institutions from teaching or promoting antisemitism and create reporting and discipline procedures, drew strong support from Jewish community representatives describing school and campus incidents, and opposition from the ACLU and AEA over free-speech and liability concerns; the transcript cuts off before the committee vote on this bill.

Bills: SB137, SB164, SB165, SB49

Keywords: sewer, wastewater, public service commission, PSC, utility regulation, private utility, regulated utility, affiliated system, consolidation, rate jurisdiction, rate setting, wastewater management entity, common ownership, control, Jefferson County Board of Health, local constitutional amendment, public utilities, Alabama Code Title 37, Alabama Code Title 22, certification

Transcript Highlights:

• It puts people before algorithms, fairness before profit.
• and other types of algorithms.
• On the potential for algorithmic decision-making to discriminate, we urge the committee not to take an
• laws would cover, in practice, algorithms making decisions.
• I mean, there are algorithms that produce things.

Keywords: 995, all

Summary: The committee held a hearing on several artificial intelligence bills, opening with remarks about the 9/11 anniversary and then broad statements from the co-chairs about AI’s promise and risks. Chair Farley-Bouvier and Senator Moore emphasized the need for guardrails, transparency, and worker and consumer protections, while Senator Finegold described Senate Bill 37, which would create a framework for AI model training with safety assessments, audits, incident reporting, Attorney General oversight, and workforce reporting. Members also discussed Massachusetts’ position relative to other states and the need for state action in the absence of federal regulation. A large portion of the hearing focused on the Fair Act, House 77 and Senate 35, which would limit workplace surveillance, restrict collection of biometric and location data, require notice and human review for automated employment decisions, and protect workers from retaliation. Labor leaders, including AFL-CIO, AFSCME, AFT, SEIU, building trades, and other worker representatives, testified in support, describing harms from bossware, automated benefits denials, hiring and promotion screening, scheduling, and monitoring in workplaces ranging from health care and education to manufacturing and construction. They argued that AI systems are already affecting wages, benefits, safety, and job security, and that Massachusetts should act now to set clear rules. The committee also heard testimony on House Bill 74, which would require informed consent and clear contract terms for digital replicas of voices and likenesses, with SAG-AFTRA representatives supporting the bill as a protection for performers and creators. Another major topic was Senate Bill 51 on social media algorithm accountability and transparency; child safety advocates, researchers, and a public health expert described harms from engagement-based algorithms, including exposure to harmful content, eating disorders, and youth mental health impacts, and supported independent audits and public reporting. A few industry and civil liberties witnesses supported regulation but urged balance, warning against overly burdensome rules while acknowledging the need for privacy, transparency, and accountability. No votes or final committee actions were taken in the hearing excerpt.

Transcript Highlights:

• And I think that We've seen that there are algorithm algorithms targeting kids.
• Yeah, the bill is very specific about slowing down the algorithm for kids.
• The algorithm might see that and they'll send you more content like that.
• Our code prohibits discrimination. By real estate agents.
• Our, our code of conduct covers discrimination.

Transcript Highlights:

• Then they put this data into an algorithm, and that data is the algorithm that is deciding the factor
• algorithm algorithm and<02:03:09.360> that<02:03:09.599> data<02:03:10.080> is<
• consumer external data and algorithms consumer external data and algorithms and<02:18:46.000>
• <02:24:13.280> where price or wage setting algorithm where price or wage setting algorithm
• and algorithmic development and whatnot. and algorithmic development and whatnot.

Keywords: 981, all

Summary: The Senate convened with a quorum, approved the previous day’s journal, and received several committee reports and conference committee permissions. It also adopted a Senate resolution recognizing the 125th anniversary of Western Colorado University (SR 8) by a 35-0 vote, with remarks highlighting the university’s history, workforce role, mountain rescue team, athletics, and ties to Gunnison and the Western Slope. The resolution was adopted and co-sponsors were added. The chamber then took up third reading and final passage on several bills. Senate Bill 152, concerning automated vehicle identification systems, was amended on the floor with a technical correction and passed 32-3. House Bill 1322, creating civil actions related to conversion therapy efforts, prompted emotional testimony from Senator Mullica about his mother and passed 23-12. House Bill 1123, addressing sexual abuse prevention in jails, passed 27-8 after a technical amendment. House Bill 1226, reducing emissions from certain electric generating units, passed 22-13. House Bill 1076, modifying transportation statutes, passed 28-0, and House Bill 1207, requiring employer disclosure of demographic workforce data, passed 23-12. Senate Bill 115, a postconviction relief measure for certain older incarcerated people, was amended and debated at length. Supporters described it as narrowly tailored to a small number of eligible inmates and emphasized victim-rights protections and exclusions for serious offenses; opponents remained opposed. The bill ultimately passed 18-17. The Senate then approved a Committee of the Whole report advancing Senate Bill 181 and several House bills—1338, 1344, 1336 as amended, 1227, 1314, 1028, 1282, and 1317 as amended—to third reading and final passage, and later adopted the consent-calendar bills in special orders without objection.

Transcript Highlights:

• <00:03:42.920> being of company policy AI algorithms being of company policy AI algorithms
• <00:43:02.359> and privacy invasions discrimination and privacy invasions discrimination and
• rather than algorithmic guidance rather than algorithmic<01:09:20.199> management<01:09:21.199
• > algorithmic algorithmic management algorithmic algorithmic management algorithmic management
• So when you think about how AI goes from an algorithm to a model, right, algorithm, think about it in

Keywords: 1187, senate, all

Transcript Highlights:

• So, what is surveillance discrimination.
• So, what is surveillance price<00:01:28.000> discrimination?
• And I heard price discrimination?
• . discrimination. discrimination.
• talking about all of these algorithms. talking about all of these algorithms.

Keywords: 1183, house

Summary: House File 3794, as amended by the A4 amendment, was heard in committee. Representative Greenman described the bill as a ban on surveillance-based pricing and wage discrimination, with a disclosure requirement for companies using automated data to set individualized prices or wages. The A4 amendment was adopted; Greenman said it updated language based on attorney general and stakeholder feedback and added a burden-shifting provision that would let consumers or workers establish a presumption, which companies could then rebut with data. Greenman and supporters argued the bill would stop companies from using personal data and AI tools to charge different prices to different people, while still allowing ordinary market-based discounts and clearly offered group discounts such as those for veterans, students, or teachers. Supportive testimony came from the Minnesota Farmers Union, a neighborhood bookstore owner, Consumer Reports, and a small business owner. They said surveillance pricing undermines fairness, transparency, and competition, and cited examples such as different online prices based on location, browser history, or loyalty-program data. Testifiers also warned that AI-driven pricing and discounting can be opaque and discriminatory, and that small businesses cannot compete with large firms that control more data. Consumer Reports said consumers should not have to use workarounds like VPNs to compare prices and noted that some discounts based on personal data may also need sunlight and guardrails. Opposition came from the Minnesota Chamber of Commerce and the Chamber of Progress. They argued the bill’s definitions are too broad and could sweep in ordinary business analytics, loyalty programs, targeted promotions, inventory tools, and even spreadsheets, creating compliance risk and discouraging innovation and investment. They also warned the bill could burden small businesses and interfere with workplace management and compensation decisions. During member discussion, several legislators voiced support for the bill as a transparency and fairness measure, while one member noted that the most egregious examples appear to be in e-commerce and said the committee was laying the bill over for further consideration.

Bills: SB2466, HB1163, HB1514, SB3082, SB2135, SB2727, SB3097, HB1696, HB2021

Keywords: elections, chief elections officer, termination for cause, Hawaii election law, elections commission, commercial drivers license, non-domiciled, federal regulations, commercial learner's permit, citizenship, lawful residency, Department of Transportation, workers' compensation, vocational rehabilitation, injury recovery, employment services, return to work, military families, family leave, qualifying military exigency