Transcript Highlights:

• This system of algorithmic collusion disproportionately harms communities of color, immigrants, low-income
• And oftentimes, these algorithms suggest that landlords And oftentimes, these algorithms suggest that
• issue of algorithmic collusion.
• rent setting, strengthening our family shelter system.
• Despite the fact that it is an algorithmic system, it's AI, et cetera, the scheme is simple: the landlords

Committee: Joint Joint Committee on Housing

Summary: The Joint Committee on Housing held a hybrid hearing on a broad slate of landlord-tenant and home rule bills, with most testimony focused on rent stabilization, tenant opportunity to purchase (TOPA), tenant fees, access to counsel, algorithmic rent fixing, and tenant protections in subsidized housing. Chairs Cyr and Haggerty outlined the hearing procedures and noted that written testimony could also be submitted. Several members and invited speakers emphasized that the committee was hearing from both local officials and residents affected by housing instability, especially in Somerville and other communities facing high rents and displacement. Supporters of rent stabilization and local-option rent control argued that Massachusetts needs tools to prevent displacement while new housing is built. Senator Eldridge, Senator Jalen, Somerville officials, tenant organizers, and residents described steep rent increases, no-fault evictions, and the loss of naturally occurring affordable housing. Somerville’s home rule petition was described as allowing annual increases tied to CPI plus 2%, capped at 5%, with exemptions for owner-occupied two- and three-family homes and a 15-year exemption for new construction. TOPA supporters said it would let tenants or their designees buy buildings before speculative buyers, preserving affordable housing stock; opponents, including small landlords and property managers, argued rent control would reduce supply, discourage investment, and that TOPA could delay sales and harm properties. The committee also heard testimony on bills to curb junk fees and regulate tenant charges, including limits on late fees, lease renewal fees, payment portal fees, attorney’s fees, and other add-on charges. Advocates said these fees can add hundreds of dollars a month and disproportionately harm low-income renters and renters of color. Another major topic was algorithmic rent fixing: Senator Moore and Representative Sabadoza said landlords should not use software such as RealPage to coordinate pricing, citing federal antitrust actions and arguing that competition is essential to lowering rents. Additional testimony supported a statewide right to counsel in eviction cases, with legal services providers saying representation dramatically improves outcomes and can save the state money, and a bill to create an office of tenant protections to better enforce sanitary code violations. No votes or final actions were taken during the hearing.

Transcript Highlights:

• They looked at problems with the algorithm.
• I will tell you the system is not there yet.
• and some of the changes to the algorithm.
• the flaws in the existing algorithm.
• algorithm to supersede the existing algorithm?

Summary: The Human Services Subcommittee met to receive an update from the new director of the Agency for Persons with Disabilities on implementation of House Bill 1103. The director said APD is working to update the funding algorithm through a contracted study due November 15, 2025, expand transparency on its website, launch an online crisis application by the end of 2025, improve client choice in qualified organizations and waiver support coordinators, and coordinate with AHCA on the managed care pilot and Florida HealthFinder listings for APD providers. He also said APD is working on family resource materials, a monthly newsletter, and stronger transition planning with DCF. Members asked about whether the new algorithm would include transportation and what services might change, but the director said the replacement model is still being developed and any new methodology would be implemented through rulemaking. Questions also focused on Family Care Councils, including the statewide council’s membership and appointment process; the director said the statute sets the process and APD is helping councils recruit and organize. On transparency, members praised the website improvements and asked for more interactive data tools. The director said APD would consider suggestions and continue expanding public reporting. The committee also discussed eligibility and waiver notices, including concerns about outdated language in APD letters and how autism cases are reviewed. The director said clinicians and behavioral analysts review cases and asked to see the specific letter. On the pre-enrollment list, the chair asked about the wait list, and the director said APD recently sent 5,612 service offers to people on the list and is working to better distinguish those who truly need services from those who do not. No votes were taken, and the meeting adjourned after the presentation and questions.

Transcript Highlights:

• very similar set of circumstances and sentencing circumstances has been in effect in the federal system
• So do you remember when we went from being a prison system to being a corrections system?
• But we are a criminal justice system that holds people accountable, but also...
• But we are a criminal justice system that holds people accountable, but also should recognize the redeemable
• qualities, and redemption is an important part of our system.

Bills: SB1110 , SB1140 , SB1234 , SB1275 , SB1426 , SB1436 , SB1470 , SB1489 , SB1512 , SB1540 , SB1556 , SB1568 , SB1569 , SB1573 , SB1585 , SB1609 , SB1627 , SB1634 , SB1635 , SB1648 , SB1654 , SB1687 , SCR1027 , SCR1040

Committee: Senate Judiciary and Elections

Keywords: expungement, misdemeanor, criminal record, Arizona Revised Statutes, judicial process, record sealing, juvenile court, legal representation, appointed attorney, guardian ad litem, child welfare, forcible entry and detainer, forcible detainer, unlawful occupants, unauthorized occupant, squatter, squatting, property owner, residential property, residential dwelling

Bills: HR939 , HR940 , HB3383 , HB3638 , HB3628 , HR432 , SB1071 , HB3857 , HR936

Keywords: impeachment, presidential power, violence, judiciary, political climate, democracy, executive abuse, lawmakers, committee election, House of Representatives, governance, legislative process, representation, investment, private funds, economic growth, capital formation, small businesses, financial regulation, senior investors

Transcript Highlights:

• Particularly in the ERS system and also the TMRS system.
• There is no reason why we need to have a TRS system and an ERS system; we can combine that, save money
• in administration, and bring us all together under one system.
• We have seven tiers now in the TRS system since it has been adjusted.
• Every major police system in Texas that has a pension system provides for disabilities for officers like

Bills: HB886 , HB1514 , HB2434 , HB2688 , HB2802 , HB3161 , HB3221 , HB4029 , HB4339 , HB4591 , HB4774 , HB4802 , HB4853 , HB5627 , SB1737

Committee: House Pensions, Investments & Financial Services

Keywords: retirement, supplemental payment, benefits, Employees Retirement System, eligible annuitants, legislation, annuity, service credit, Employees Retirement System of Texas, employee benefits, pension reform, public retirement systems, municipality pensions, firefighters, police officers, retirement age, DROP program, actuarial studies, pension benefits, municipal retirement

Transcript Highlights:

• We thank him for acknowledging the needs... ...of retirees in the ERS system to receive a supplemental
• In the last legislative session, employees... ...with the Teacher's Retirement System received both a
• retired state employee with over 35 years of service, and I retired from the Employees Retirement System
• The stability of the Teacher Retirement System. That is correct, by about $13 million. Thank you.
• Unfortunately, it's the retirement system and the members of the trust fund that are subsidizing that

Bills: HB886 , HB1514 , HB2434 , HB2688 , HB2802 , HB3161 , HB3221 , HB4029 , HB4339 , HB4591 , HB4774 , HB4802 , HB4853 , HB5627 , SB1737

Committee: House Pensions, Investments & Financial Services

Keywords: retirement, supplemental payment, benefits, Employees Retirement System, eligible annuitants, legislation, annuity, service credit, Employees Retirement System of Texas, employee benefits, pension reform, public retirement systems, municipality pensions, firefighters, police officers, retirement age, DROP program, actuarial studies, pension benefits, municipal retirement

Bills: SB107 , HB158 , HB353 , HB354 , HB357 , HB181 , HB465 , HB526

Committee: Senate Finance and Taxation General Fund

Keywords: SSUT, simplified sellers use tax, sales tax distribution, municipal revenue, municipal population, annexation, deannexation, incorporation, boundary change, federal census, decennial census, Department of Revenue, local government finance, revenue sharing, municipal boundaries, population recalculation, probate judge, Boundary and Annexation Survey, Alabama municipalities, HB158

Transcript Highlights:

• What happens if there's a system failure or emergency?
• their data is collected and used for these systems, and that these systems will uphold their constitutionally
• Is there an incentive in the system for you all to do that?
• Today, of course, we're the largest health system.
• System, the children's health system in the United States, something that all Texans can be very proud

Bills: HB149 , HB252 , HB643 , HB1442 , HB1500 , HB1672 , HB1851 , HB1893 , HB2028 , HB2768 , HB2818 , HB149 , HB252

Committee: House Delivery of Government Efficiency

Keywords: artificial intelligence, regulation, biometric data, ethical AI, consumer protection, AI governance, employment compensation, state agencies, salary payments, general appropriations, government efficiency, public works, contractors, payment bonds, government contracts, construction law, transparency, open meetings, government accountability, public access

Transcript Highlights:

• every type of entity that we rate, whether it's a state or a local government or a water utility system
• Now, for Minnesota, the state's strong economic foundation and the structure of its tax system means

Bills: HF201 , HF217 , HF314 , HF315 , HF406 , HF408 , HF425 , HF426 , HF730 , HF731 , HF652 , HF761 , HF1079 , HF928 , HF1017 , HF1056 , HF1081

Committee: Senate Capital Investment

Keywords: HF201, Minnesota income tax, tax subtraction, tax deduction, volunteer firefighter, volunteer fire and rescue, emergency responder, ambulance service personnel, EMR, EMS, search and rescue, canine search and rescue, underwater search and rescue, paid-on-call, part-time volunteer, tax relief, state tax law, section 290.0132, drivers license, identification card

Transcript Highlights:

• So so what is the algorithm and why does it need to be updated?
• They finished the first phase with a look at our current algorithm.
• And I and I will tell you, the system is not there yet.
• You talked with us a bit about the algorithm is the changes to our algorithm.
• looked at the for the flaws in the existing algorithm.

Transcript Highlights:

• Algorithms. I don't think people are sitting back there looking at comps.
• algorithms being used in every single industry.
• And so participation and, you know, you buy into the algorithm, you're using the algorithm, And so participation
• and, you know, you buy into the algorithm, you're using the algorithm, you're participating in the use
• It is in our system. But the bill is not limited to that.

Committee: House Privacy and Consumer Protection

Summary: The committee heard several bills, with most of the discussion focused on AB 325, which would update California antitrust law to address algorithmic price fixing, and AB 1221, which would restrict invasive workplace surveillance tools. AB 325’s author and supporters argued that competitors using the same pricing software can facilitate collusion and drive up prices in sectors like housing, groceries, and frozen foods; opponents warned the bill was too broad, could sweep in lawful public-data pricing tools, and might chill ordinary business software use. Members raised concerns about housing applications, small businesses, intent standards, and whether the bill clearly distinguishes lawful market research from collusive conduct. Despite the debate, the committee voted to move AB 325 forward on a 6-2 roll call, holding the roll open for absent members. AB 75, dealing with insurers’ use of aerial imaging for homeowners’ coverage decisions, was also heard. The author and Department of Insurance said the bill would require notice before aerial images are collected, give homeowners access to the images, and require that any image used to cancel, non-renew, or reduce coverage be current enough to allow an in-person inspection if needed. Consumer advocates supported the measure as a privacy and transparency protection, while insurers opposed it unless amended, arguing aerial imaging is a low-cost tool that helps keep coverage available and affordable and warning that more in-person inspections would raise costs and reduce the number of policies they can write. The committee moved AB 75 to Appropriations, also holding the roll open. The committee also advanced AB 576, which the author said responds to stakeholder feedback after AB 488 by improving the Department of Justice charity registry process, including an API to help fundraising platforms update eligible charities more efficiently. AB 1160, on law enforcement drone data storage, was presented as a privacy and security measure requiring U.S.-based storage for drone-collected data and prohibiting its use, sharing, or sale by storage vendors; it too was moved to Appropriations. In addition, the committee heard AB 1221, which would ban certain workplace surveillance technologies such as facial, gait, and emotion recognition and add notice, data protection, and human-review requirements before discipline based on surveillance output. Supporters said the bill would curb discriminatory and invasive monitoring, while opponents argued it was overly broad and could interfere with legitimate security, safety, and HR uses; the transcript ends before a final vote on that measure.

Transcript Highlights:

• So it was allowing essentially the algorithm to look into what, to owners.
• Algorithms. I don't think people are sitting back there looking at comps.
• algorithms being used in every single industry.
• And so participation and, you know, you buy into the algorithm, you're using the algorithm, ...and so
• participation and, you know, you buy into the algorithm, you're using the algorithm, you're participating

Summary: The committee heard several bills and took up multiple votes. AB 576, dealing with updates to California’s charitable fundraising platform registry after AB 488, was presented as a technical fix to help charities and platforms more quickly update eligible listings; there was no opposition testimony, and the measure was later moved on a due pass basis. AB 1160, on law enforcement drone programs, was presented with proposed amendments requiring U.S.-based data storage and limits on sharing or selling collected data; supporters said it would protect sensitive drone-collected information while preserving affordable drone use, while there was no opposition testimony, and it was also later passed out on a due pass as amended basis. AB 75, which would require insurers to give notice before collecting aerial images of homes and provide homeowners access to those images, drew support from the Department of Insurance and consumer advocates, while insurers opposed it unless amended, arguing aerial imaging is a cost-saving inspection tool and that the bill could worsen availability and affordability; the bill was moved to Appropriations on a due pass basis, with the roll held open for absent members. The committee spent the most time on AB 325, which would address algorithmic price-fixing and collusion. The author and supporters argued that competitors using the same pricing software or algorithm to set prices can function as collusion even when the agreement is hidden behind code, and cited examples involving housing, frozen potatoes, gas pricing, and other industries. Opponents, including apartment, business, hospital, retail, chamber, and tech groups, said the bill was too broad, could sweep in lawful software and public-data market research, and might chill legitimate pricing tools, especially for small businesses and housing providers. Committee members raised concerns about clarity, intent standards, and whether the bill should focus more narrowly on nonpublic competitor data; despite those concerns, AB 325 was moved to Appropriations on a due pass basis, with the roll held open. Later, AB 1221 was presented as a workplace surveillance bill that would prohibit certain invasive or discriminatory surveillance tools, require notice to workers, limit sharing of worker data, and require corroborating evidence before discipline based on surveillance outputs. Labor and consumer groups supported the bill, saying modern surveillance technologies can track speech, movement, emotion, and other sensitive traits and can be biased or abusive. The Security Industry Association opposed it, warning that the bill’s broad definitions could restrict legitimate security systems, emergency sharing with first responders, and employer responses to misconduct or unsafe behavior. The transcript cuts off before any final vote on AB 1221 is shown.

Transcript Highlights:

• We have other systems in place for that.
• Butt, about bias in these systems.
• You could take that exact same algorithm and just change what you do with the output of that algorithm
• used across the country in health systems.
• health system with less bargaining power.

Summary: The joint informational hearing of the Assembly Health and Privacy Committees focused on generative AI in health care, with opening remarks emphasizing both its potential to improve care and its risks around privacy, bias, liability, workforce impacts, and unequal access. Chair Bauer-Kahan and Chair Bonta framed the discussion around how California can encourage beneficial innovation while protecting patients, especially given the sensitivity of health data and the possibility that AI could worsen existing disparities if not carefully governed. The first panel featured representatives from Cedars-Sinai, Kaiser Permanente, Penguin AI, and Google, who described current uses of AI such as ambient clinical scribes, nursing documentation tools, imaging triage, maternal-fetal risk prediction, and administrative automation. Speakers said these tools can reduce clinician burden, improve patient experience, speed treatment, and in some cases improve outcomes, including a reported mortality benefit from a Kaiser predictive model and faster thrombectomy times at Cedars-Sinai. Members raised concerns about accuracy with accents and multilingual visits, whether predictive tools could reinforce bias or lead to more interventions such as C-sections, and how to ensure a human remains in the loop for important decisions. The second panel, including representatives from the California Health Care Foundation, UC Berkeley, and Stanford, focused on policy and governance challenges. Testimony highlighted examples of AI supporting homelessness outreach and community health work, but also warned that biased algorithms can encode inequities, especially when trained on data that reflect under-treatment of Black, rural, or low-income patients. Witnesses urged clearer standards for trustworthy AI, stronger monitoring and governance structures, better data access for accountability, and attention to the safety net’s limited resources. Several speakers argued that states should require health systems to have AI governance processes, clarify liability between developers and deployers, and regulate downstream uses of AI while preserving access to data for lifesaving research and oversight.

Transcript Highlights:

• The use of AI-backed rent-setting algorithms continues.
• own algorithms that they were using.
• But any algorithm or software that compares... ...competitive as much as possible, but any algorithm
• distributors and pricing algorithm users.
• Algorithmic collusion is doing just that.

Summary: The committee heard several AI- and consumer-protection-related bills, with extensive testimony from authors, supporters, and industry opponents. SB 53 by Senator Wiener would create transparency requirements for large AI developers, including disclosure of safety and security protocols, reporting of critical safety incidents, whistleblower protections, and the CalCompute public cloud. Supporters said it is a narrower, transparency-based follow-up to last year’s vetoed AI safety bill, while opponents argued it still relies too much on company size, could expose trade secrets, and should be narrowed further. The committee approved SB 53 on a do-pass-as-amended vote to Appropriations, with the roll held open for absent members. SB 766 by Senator Allen would codify the FTC’s Cars Rule and create a three-day cooling-off period for certain used-car purchases, along with stronger disclosure rules on pricing, add-ons, and government affiliation claims. Supporters said it would save consumers money and time and help buyers avoid bad deals, while dealer and industry groups said amendments addressed many of their concerns. Several former opponents moved to neutral, and the committee passed SB 766 unanimously as amended to Appropriations. SB 7 by Senator McNerney would regulate automated decision-making systems in employment by requiring notice, human review for discipline and termination, and limits on predictive behavior analysis. Labor and consumer advocates supported the bill as a safeguard against biased or overly automated workplace decisions, while employer and industry groups raised concerns about scope, notice burdens, and the predictive-analysis ban. The committee passed SB 7 to Appropriations on a 4-2 vote, with the roll held open. SB 833, also by Senator McNerney, would require human oversight of AI used in critical infrastructure, along with training and system assessments; it drew limited opposition focused on scope, and the committee passed it as amended to Appropriations on a 5-0 vote, also holding the roll open. Later, the committee took up SB 11, which would address AI-generated voice, image, and video cloning and deepfakes by clarifying likeness protections, requiring consumer warnings, and addressing misuse and evidence tampering. Supporters framed it as a targeted response to nonconsensual deepfakes, while industry groups said recent amendments improved the bill but still had concerns about penalties and warning language. The committee also heard SB 720, the Safer Streets Act, which would let cities opt into a revised red-light camera system that shifts from driver to owner liability, removes facial identification, makes violations civil rather than criminal, and directs revenue toward transportation safety projects; the author presented the bill, but the transcript ends before any final action on SB 720.

Transcript Highlights:

• Voting system software, the Express link of the ESNS voting system, and the Express Vote activation card
• Algorithms in general, do you know what a data point is? I do know a little bit about algorithms.
• those systems immediately.
• That's how an algorithm works.
• A standardized system.

Bills: HB429 , HB496 , HB640 , HB657 , HB665 , HB677 , HB952

Committee: House Elections

Keywords: Texas Election Code, elections, voting station, polling place, ballot marking, ballot reading, child accompaniment, minor, parental supervision, voter education, secretary of state, county election administrator, voter assistance, election administration, poll worker rules, ballot secrecy, HB 496, ballot option, none of the above, abstain from vote

Transcript Highlights:

• own algorithms that they were using.
• own algorithms that they were using.
• But any algorithm or software that compare... ...competitive as much as possible, but any algorithm or
• Algorithmic collusion is doing just that.
• And so if biases have been placed in the system initially, If biases have been placed in the system initially

Committee: House Privacy and Consumer Protection

Summary: The committee heard several bills on consumer protection, privacy, AI, and employment technology. SB 53 by Senator Wiener would require large AI developers to disclose safety and security protocols, report serious incidents quickly, and create CalCompute and whistleblower protections; supporters said it is a transparency-based, narrower follow-up to SB 1047, while industry groups opposed unless amended over concerns about size-based thresholds, trade secrets, and security. SB 766 by Senator Allen would codify FTC car-sales rules and create a three-day cooling-off period for certain used-car purchases; testimony was broadly supportive, and several dealer and industry groups moved from opposition to neutral after amendments. The committee also heard SB 7 by Senator McNerney, which would require notice and human oversight for automated decision-making in employment, and SB 833 by the same author, which would require human review and monitoring for AI use in critical infrastructure; both drew support from labor and consumer advocates and opposition or concerns from business and public-sector groups about scope and compliance. The committee also began hearing SB 11 on AI-generated voice/image/video cloning and nonconsensual deepfakes, with supporters backing consumer warnings and liability rules and opponents seeking narrower language and lower penalties. Members and witnesses repeatedly emphasized the need to balance innovation with safety, with supporters arguing California should act where Congress has not, and opponents urging narrower definitions, stronger trade-secret protections, and more limited enforcement. On SB 53, committee members praised the author’s outreach but noted the bill still needs work; the bill was moved out on a do-pass-as-amended motion with seven votes and held open for absent members. SB 766 received unanimous support after amendments and was reported out 9-0. SB 7 and SB 833 were both advanced on do-pass motions but were left open with only partial vote counts at the time of the hearing. The committee later recessed and returned to continue the agenda.

Transcript Highlights:

• AI systems, uh, but this can reflect systemic biases that's in that data set right now.
• <c> dictate</c><00:04:41.120><c> who</c> Relying on algorithms to dictate who Relying on algorithms to
• ><c> advanced,</c><00:04:50.320><c> lack</c> systems, no matter how advanced, lack systems, no matter
• AI systems learn from inequalities. AI systems learn from historical<00:05:06.000><c> data.
• AI systems the uh but this can<00:05:14.960><c> reflect</c><00:05:15.360><c> systemic</c><00:05:15.919

Transcript Highlights:

• We have other systems in place for that.
• Butt, about bias in these systems.
• You could take that exact same algorithm and just change what you do with the output of that algorithm
• health system with less bargaining power.
• health system, we're able to afford them.

Summary: The joint informational hearing by the Assembly Health and Privacy Committees focused on generative AI in health care, with opening remarks emphasizing both the promise of improved care and the risks around privacy, bias, workforce impacts, reimbursement, and liability. Members and witnesses repeatedly stressed that AI should augment clinicians rather than replace them, and that California has a role in shaping responsible adoption. The first panel featured health systems and developers describing current uses such as ambient scribes for physicians and nurses, imaging triage, maternal-fetal risk prediction, and administrative automation. Speakers from Cedars-Sinai, Kaiser Permanente, Penguin AI, and Google highlighted efficiency gains, reduced clinician burnout, faster treatment, and some reported patient-safety benefits, while also noting the need for human review, governance, and ongoing monitoring. Committee members pressed the panel on bias, especially for multilingual patients, women of color, and Medi-Cal populations, and on whether predictive tools could worsen disparities or drive unnecessary interventions such as C-sections. Witnesses said tools must be tested in real-world settings, with humans in the loop and outcomes tracked by demographic group. They also discussed the legal landscape, with concerns that liability may fall more on hospitals and physicians than on developers, and that clearer rules may be needed for clinical, clinical-adjacent, and administrative uses. Several speakers argued that administrative uses like prior authorization and coding are lower-risk and ripe for automation, while clinical applications require much stronger safeguards. The second panel shifted to broader policy and equity issues. The California Health Care Foundation described early AI adoption in the safety net, including a Los Angeles County homelessness-risk model and AI tools supporting community health workers, and said safety-net providers want guidance on privacy, liability, safety, bias, and workforce impacts. Dr. Ziad Obermeyer described research showing racial bias in widely used risk algorithms and argued for accountability, access to data under strong protections, public-sector leadership, and partnerships to steer AI toward better outcomes. Dr. Michelle Mello said most organizations lack strong governance, that monitoring is difficult and costly, and that states could require AI governance structures as a condition of licensure. The discussion closed with calls for clearer standards, better data access for evaluation, and policy approaches that protect patients while allowing beneficial AI to spread beyond large health systems.

Transcript Highlights:

• I think of the conversation, if the analysis sort of starts and ends with algorithms are harmful, algorithms
• That was a moment where the algorithm went wrong.
• And so I will simply say that algorithms are powerful.
• nuance behind the algorithm.
• Policy can ask what is the system optimizing for?

Summary: The Assembly Privacy and Consumer Protection Committee held an informational hearing on the impact of social media on LGBTQ+ youth, focusing on benefits, risks, and possible safeguards. Chair members framed the discussion around the tension between protecting young people from addictive design, harassment, hate speech, exploitation, and mental health harms while preserving access to affirming resources, community, and crisis support that many LGBTQ+ youth rely on online. Members emphasized that the hearing was meant to inform future policy rather than relitigate prior bills, and several members of the LGBTQ+ Caucus attended or participated. The first panel featured lived experience and advocacy testimony from Madi Roby of Alliance for Trans Youth Rights, Shea Gardner of LGBT Tech, and Casey Pick of the Trevor Project. Roby described social media as essential to exploring identity, finding trans language and safety information, and connecting to Trevor Project resources during a family crisis, while also acknowledging online hate and bullying. Gardner argued that lawmakers should regulate harms more precisely rather than impose broad age-based exclusions, warning that account bans and age-gating could cut off access to community, privacy-protective pseudonymity, and crisis resources. Pick testified that LGBTQ+ youth are more likely than peers to attempt suicide, that social media can be both a lifeline and a risk, and that Trevor Space and other moderated online spaces can improve mental health and reduce isolation; she also cautioned against policies that would push youth into less visible, less moderated spaces. Committee members questioned the witnesses about algorithmic feeds, addictive design, age verification, and whether platforms should be required to do more to protect youth. Several lawmakers distinguished between personalized feeds and addictive features such as infinite scroll and autoplay, and asked for more targeted prescriptions. Witnesses generally supported stronger privacy protections, limits on data collection and use, better reporting and moderation tools, digital literacy, and design changes that reduce harmful engagement patterns without eliminating access to community. The discussion also touched on the loss of LGBTQ-specific 988 services at the national level and the importance of maintaining alternative support pathways. The second panel presented research from Common Sense Media, UC Irvine, Hope Lab, and LGBTQ+ Health Australia. Researchers reported that LGBTQ+ youth often arrive online with higher depressive symptoms and limited in-person support, encounter homophobic and transphobic content at high rates, and may self-censor because of fear of harassment. At the same time, many said social media helps them feel less alone and find affirmation. Dr. Sean Young emphasized a harm-reduction approach, noting that online environments can be designed to support health and that policymakers should measure whether restrictions actually reduce harm or simply displace it. Dr. Amy Green echoed that social media is both harmful and supportive for LGBTQ+ youth, underscoring that the policy goal should be to make youth safer rather than less visible online.

Transcript Highlights:

• </c> implementing computer vision systems implementing computer vision systems that<00:03:33.560><c>
• </c><00:03:42.920><c> being</c> of company policy AI algorithms being of company policy AI algorithms
• use of those algorithms.
• <01:08:43.199><c> Management</c><01:08:43.719><c> Systems</c> algorithmic Management Systems algorithmic
• ><c> algorithmic</c> algorithmic management algorithmic algorithmic management algorithmic management

Committee: Senate Labor