Transcript Highlights:

• Which one of these photos do you think is AI-generated?
• So it's human input, it's an AI-generated output, and then human evaluation.
• G.A.I., generative AI. And so our ability to utilize these data sets...
• Generative AI. And so our ability to utilize these data sets.
• And as you said, AI is a... ...general term now, but being able to show them how to efficiently use AI

Summary: The committee met to hear an overview of Washington’s alternative learning experience (ALE) programs and then an update on artificial intelligence in schools. OSPI’s Anissa Sherritt explained that ALE is a course-level funding designation for instruction that occurs partly or wholly away from the traditional seat-time model, with online, site-based, and remote course types. She emphasized that ALE is still basic education, subject to the same public school requirements, and that OSPI provides technical assistance, annual reporting review, and program reviews. Representatives from several programs described different models: Washington Virtual Academy (a large online ALE operated through Omak School District and partnered with for-profit Stride), Columbia Virtual Academy in Valley School District (a district-run, nonprofit online/remote program), Pearl in Quilcene (a K-8 remote parent partnership program), and River Home Link in Battleground (a site-based hybrid program). They discussed student supports, special education, enrichment, family choice, transportation, and how they measure outcomes. Members asked for follow-up information on funding, demographics, racial and ethnic data, multilingual learners, and post-graduation outcomes, and OSPI agreed to provide additional data where available. The committee then heard from OSPI and several districts about AI guidance and implementation. OSPI’s Holly Ryan Calloway described the agency’s human-centered AI framework, three guidance documents for schools, statewide professional learning, an AI innovation summit, and new AI literacy and informatics course frameworks and CIP codes. Quincy School District described a multi-year effort to integrate AI by centering student needs, creating district policy and classroom guidance, and training teachers to use AI responsibly while building an AI readiness plan from elementary through high school. Peninsula School District described its AI action research team, teacher professional learning, and classroom uses of generative AI to support science instruction, communication, and prompt engineering, while stressing that AI should enhance rather than replace learning. Members raised questions about privacy, energy and water use, prompt engineering, workforce and university connections, and the need for clear standards and ongoing educator training. No votes were taken.

Transcript Highlights:

• THAT'S WHAT WE DO HERE IS NOT TO LEVERAGE AI OR TEACH OUR STUDENTS ALL ABOUT AI AND FORGET ABOUT THE
• BEYOND THE TWO WORDS AI.
• WE STARTED OFF WITH SOME RELATIVELY EASY IMPLEMENTATIONS LEVERAGING GENERATED AI CHECKBOX WITH SOME OUR
• >> Chair Tomkow: YOU ARE RECOGNIZED. >> IN THE LARGE LANGUAGE MODEL, GENERATIVE AI WHICH IS IN CHECK
• WE NEED TO KNOW ONE OF THE DATA THAT ARE USED TO GENERATE THE PREDICTED AI MODELS.

Transcript Highlights:

• They give a general overview of AI so we can have a shared understanding of what it was we were trying
• Now, generative AI systems, such as chatbots and image generators, are built on what are called foundation
• The concerns, such as bias risk, arise primarily from the fact that generative AI systems tend to be
• That would not harm AI development more generally.
• With AI, however, we're dealing with a general-purpose technology.

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:

• AI Bill.
• Then we'll start seeing verticalization of AI. Where will I apply AI?
• With AI, it's the same thing: educating them on what AI means, educating them on what AI safety means
• AI and how you cannot leverage AI.
• by AI.

Transcript Highlights:

• AIs.
• AIs.
• Chairman, Senate Bill 1786 requires cover providers that use generative AI to add provenance data to
• Well, the part that I'm having a problem with is the generative AI that has more than one million monthly
• individual who... ...this section potentially could be interpreted that the individual who made the AI-generated

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:

• The chief information officers responsible for for thinking through how do we use AI the general counsel
• And so you can also use AI to generate draft reports and in not contacts you might think.
• Ai-generated content is treated strictly as a draft in every output must be reviewed and approved by
• I'd say overall the best use cases for those are where AI is generating are summarizing content and not
• Ai analytics.

Transcript Highlights:

• But I did that with AI.
• There wasn't even an AI session. And then the next year there was like an AI session.
• And AI does not think like a human. And AI does not think like a human.
• AI is not like that.
• When they see pictures that were generated by AI, right?

Keywords: 1182, all

Summary: The newly formed House Artificial Intelligence and Innovation Committee held its first meeting with member and staff introductions, followed by adoption of the committee rules. Staff explained that the rules mirror House rules, including the chair’s control of the agenda and testimony, and deadlines for amendments and agendas. The committee adopted the rules without objection. The chair then delivered an extended presentation on artificial intelligence, describing AI as a rapidly evolving tool that is already affecting many sectors, including note-taking, media, healthcare, workforce, data centers, and semiconductor manufacturing. He emphasized both the opportunities and risks of AI, including misinformation, deepfakes, job displacement, privacy concerns, and potential misuse by governments, while also highlighting Arizona’s role in chip fabrication, infrastructure, and innovation. He said the committee would meet weekly, hear short presentations from industry and subject-matter experts, and focus on responsible governance that supports innovation without overregulation. Members then shared their perspectives. Several expressed cautious optimism, noting AI’s potential in healthcare, education, public administration, and business, while stressing the need for guardrails, cybersecurity, and human oversight. Members also discussed personal uses of AI tools such as ChatGPT, Grok, and transcription apps, and raised concerns about older adults, children, and people with disabilities being affected by AI-generated content or automation. The chair closed by saying the committee would be bipartisan, Arizona-focused, and likely to consider bills as the session progresses, then adjourned the meeting.

Transcript Highlights:

• In 2020, over 100,000 AI-generated nude images of women were created, most of which consisted of AI-generated
• In 2020, over 100,000 AI-generated nude images of women were created, most of which consisted of AI-generated
• Over 9,500 websites have identified AI-generated pornography.
• AI-generated nude images of women were created, most of which consisted of AI-generated pornography.
• Over 9,500 websites have identified AI-generated pornography.

Keywords: 988, house, all

Summary: The Assembly Privacy and Consumer Protection Committee heard a long agenda focused largely on artificial intelligence, consumer transparency, and privacy protections. The committee first took up consent items, then heard SB 1050, which would require disclosures in advertisements that use AI-generated or synthetic performers. Supporters, including SAG-AFTRA, Teamsters, Common Sense Media, and the Music Artists Coalition, argued consumers should know when an ad uses a synthetic person and that the bill protects workers and honesty in advertising. Opponents from TechNet, the Motion Picture Association, broadcasters, and business groups said the bill was too broad, lacked a deception standard, created enforcement and compliance concerns, and should include carve-outs and stronger guardrails. The bill passed out on a divided vote. The committee then heard SB 1111, which would create liability and remedies for nonconsensual use of a person’s voice or likeness to create digital replicas or deepfakes. Supporters said the bill addresses a growing problem of exploitative AI-generated sexual content and gives victims clear legal standing; there was no opposition testimony. SB 867, a proposal to place a four-year moratorium on AI chatbot-powered toys, drew support from children’s advocates, pediatricians, and media-safety groups, who said the Legislature should pause before exposing children to potentially harmful products. Business and civil-justice groups raised concerns about broad definitions and unintended consequences, but the bill advanced after members discussed the need for clearer guardrails. Later, the committee heard SB 1247, which would let people who were monetized as child influencers delete content featuring their image and likeness once they turn 18. Supporters framed it as a privacy and healing measure for children whose lives were shared online for profit, and there was no opposition. SB 1146 would require disclosures in health-related ads that use AI-generated or synthetic depictions of health care providers; medical and pediatric groups supported it as a way to combat deceptive health misinformation, and it also passed without opposition. The committee also heard SB 1000, updating California’s AI Transparency Act to align disclosure and provenance standards with evolving technology and international practices, and SB 957, which would require social media companies to notify users before complying with certain federal administrative subpoenas and give them time to challenge them. SB 957 drew support from civil liberties and privacy groups and opposition from one member concerned about federal law-enforcement impacts; both bills advanced, along with the others heard, with roll calls left open for absent members.

Transcript Highlights:

• Things like customer service chatbots, generative AI-generated product descriptions, and marketing tools—things
• Generally speaking, retail tends to employ or deploy AI in low-risk use cases.
• Generally speaking, retail tends to employ or deploy AI in low-risk use cases.
• Generally speaking, retail tends to employ or deploy AI in low-risk use cases.
• Generally speaking, retail tends to employ or deploy AI in low-risk use cases.

Keywords: 958, all

Summary: The Intelligence Task Force met with a quorum present and approved the minutes from the August 14 meeting. The first presentation was from the National Retail Federation on artificial intelligence in the retail sector. NRF described AI use cases in three areas: consumer-facing tools such as chatbots, product descriptions, and marketing; employee-facing tools such as company-specific apps trained on employee manuals; and internal uses such as supply chain forecasting, inventory planning, fraud detection, cybersecurity, and coding support. The presenters said retail has been among the top deployers of AI and emphasized that the goal is to improve both customer and employee experience. NRF also outlined its principles for responsible AI use, organized around governance and risk management, customer engagement and trust, workforce applications, and business partner accountability. The group said retailers should maintain strong internal oversight, be transparent with customers, ensure compliance with existing laws, closely review workforce-related uses because they can be high-risk, and clearly define responsibilities between retailers and third-party developers. In policy discussion, NRF urged a tiered approach focused first on high-risk uses such as hiring, health care, financial, mortgage, and rental decisions, warned against fragmented rules that could favor only the largest firms, and encouraged voluntary standards and worker upskilling incentives. In response to a question about dynamic pricing, NRF said its members do not target consumers based on pricing and offered to follow up with more information. The committee then moved to a follow-up discussion on energy policy and data centers, hearing from Bartley Cleland of NetChoice. He explained that AI runs largely in data centers and that cloud computing shifts processing and storage away from individual devices, which he argued improves efficiency and can reduce costs. He said electricity demand has been rising over time and that AI will increase compute-related electricity use, but framed electricity as a normal input to economic growth. No votes or formal actions were taken after these presentations.

Transcript Highlights:

• /c><00:26:59.080> that<00:26:59.159> you generative AI the creative ity that you generative
• This is the—sometimes people will call it generative AI, sometimes people call it Gen AI.
• <01:18:38.800> AI<01:18:39.120> the 6% already and with generative AI the 6% already
• <01:30:00.280> in<01:30:00.560> general in our Medtech Hub and in AI in general in
• AI in general and about is number one AI in general and thank<01:36:27.360> you<01:36:27.520>

Keywords: 1187, senate, all

Transcript Highlights:

• And so there's some talk about generative AI.
• So recently, the Supreme Court suspended a lawyer for two years for using generative AI to complete a
• So in the context of AI, you mentioned the generative AI and putting in voluminous data and having help
• So in the context of AI, you mentioned the generative AI and putting in voluminous data and having help
• But I can envision a scenario where you put all these bank records into generative AI.

Summary: The Civil Justice and Claims Subcommittee met with a quorum and took up House Bill 413, relating to attorney’s fees, suit money, and costs in family law cases. Representative Gottlieb explained that the bill and strike-all amendment were intended to promote fairness, create more uniformity across circuits, expand judicial discretion in awarding fees, and strengthen enforcement language. Members discussed how the amendment’s reference to good-faith settlement offers would apply only after trial in fee determinations, not during the trial itself. Jamie Epstein of the Florida Bar’s Family Law Section supported the measure overall, saying it would improve consistency and deter bad-faith litigation, but noted concern about one paragraph creating a presumption of entitlement to fees in contempt actions. The committee adopted the strike-all amendment and then passed HB 413 favorably as amended by a 13-0 vote. Chair Koster said the bill would provide needed clarification in family law practice and help parties litigate more professionally and amicably. After the vote, the committee heard a presentation from Florida Bar President Sayah Baker Barnes on the Florida Bar’s role and the impact of artificial intelligence on the legal profession. Baker Barnes described the Florida Bar as an arm of the Florida Supreme Court responsible for regulating lawyers, protecting the public, handling discipline, reimbursing some victims of lawyer theft through the client security fund, and providing continuing legal education. She said AI use among lawyers has grown rapidly and that the Bar has created committees, guidance, and an ethics opinion to help lawyers use AI responsibly. She emphasized that lawyers remain responsible for the accuracy of AI-generated citations and work product, noted that Florida courts have already disciplined lawyers and a pro se litigant for fake AI-generated citations, and discussed confidentiality, privilege, and deepfake concerns. Members asked about protecting client information and finding best-practice resources, and she directed them to the Bar’s LegalFuel site and AI guidance materials. The meeting then adjourned.

Transcript Highlights:

• However, AI is much more than the generative AI that you interact with through ChatGPT or Claude or Gemini
• However, AI is much more than the generative AI that you interact with through ChatGPT or Claude or Gemini
• and generative AI and the differences of what they are.
• and generative AI and the differences of what they are.
• and generative AI and the differences of what they are.

Keywords: 1187, senate, all

Transcript Highlights:

• , so-called generative AI.
• common form of AI so-called generative AI.
• generative AI which contained entirely generative AI which contained entirely fabricated<00:05:04.639
• <00:08:45.040> AI many web-based generative AI many web-based generative AI applications,<
• includes those general purpose AI tools. includes those general purpose AI tools.

Keywords: 1187, senate, all

Transcript Highlights:

• Since 2019, the creation of AI-generated deepfakes has risen by over 500%.
• In 2020, over 100,000 AI-generated nude images of women In 2020, over 100,000 AI-generated nude images
• of women were created, most of which consisted of AI-generated pornography.
• Over 9,500 websites have identified AI-generated pornography.
• The rapid advancement of AI and generative AI, as we know, has made it increasingly difficult to distinguish

Summary: The Assembly Privacy and Consumer Protection Committee heard a long agenda focused largely on AI-related consumer protection, child safety, and privacy bills. Members first adopted the consent calendar, then took up SB 1050, which would require disclosures when advertisements use AI-generated or synthetic performers. Supporters, including SAG-AFTRA, Common Sense Media, and labor groups, said consumers should know when an ad depicts a non-human performer and that the bill protects both consumers and workers. Opponents from TechNet, the Motion Picture Association, broadcasters, and business groups argued the bill was too broad, lacked a deception standard, could burden accessibility uses and short audio ads, and created litigation risk. The committee voted the bill out on a party-line-leaning roll, with several members noting concerns but supporting continued work on the measure. The committee also approved SB 1111, which creates liability and remedies for non-consensual digital replicas using a person’s voice or likeness, and SB 1146, which targets deceptive AI-generated health advertisements that depict synthetic health care providers. Both measures drew support from consumer, labor, medical, and child-safety advocates and faced no formal opposition. Members emphasized the need to prevent deepfake abuse, especially in health-related ads where consumers could be misled into trusting fake doctors or medical endorsements. Several child- and privacy-focused bills were also heard and advanced. SB 867 would place a four-year moratorium on AI chatbot-powered toys for children, with supporters warning about harmful content, addictive design, and privacy risks; some opposition raised definitional concerns and asked for clearer standards. SB 1247 would give child influencers the right to delete monetized content posted during their minority, and it moved forward without opposition. SB 1000 updated California’s AI Transparency Act to align content provenance rules with newer technology and international standards, with support from Google and Adobe and no opposition. Finally, SB 957 would require social media companies to notify users when the federal government seeks their data through administrative subpoenas, give users time to challenge the request, and report disclosures; supporters framed it as a First Amendment and due process protection, while one member opposed it as an overreach against federal law enforcement. All of the measures discussed were reported out of committee, with several rolls left open for absent members.

Transcript Highlights:

• I did a lot of research in terms of AI and AI usage within classrooms.
• They have AI tutors. They have practice exams that are AI generated.
• They have AI tutors. They have practice exams that are AI-generated.
• going to use AI.
• going to use AI.

Summary: The meeting began with a report on institutions of higher education for annual certification/solvency, which required no action and was noted as coming later in the week. The main presentation featured students from Arkansas State University, Valley View High School, and the University of Central Arkansas discussing artificial intelligence in education and the workforce. They argued that AI should be taught responsibly in K-12 and higher education to prepare students for jobs, support Arkansas’s growing tech sector, and reduce misuse such as cybercrime, scams, plagiarism, and academic dishonesty. They also cited survey results from teachers showing broad support for responsible AI instruction, district-level management, and teacher training, while noting concerns about critical thinking, ethics, and unequal access. Examples were given of AI already being used at UCA and the University of the Ozarks, and the group suggested a statewide AI library and related training built on the Access Act framework. Committee members asked about student reactions, and the presenters said responses are mixed, especially in the arts, but that AI is already being used in real-world careers and should be integrated with clear standards. The committee then heard from a Pine Bluff community coalition led by Pastor Jesse Turner about school-based outreach and youth support programs. The group described long-running work in Pine Bluff schools and Watson Chapel, including Pass on Patrol, mentoring, anti-bullying and nonviolence efforts, drug and vaping education, gun-violence prevention, and leadership clubs for students. They emphasized that their approach is nonreligious in the schools, focused on encouragement, citizenship, scholarship, and keeping students engaged in class. They also highlighted the use of free curriculum resources on African American history and said they help students see themselves as having promise rather than being “at risk.” Members asked about whether the programs could be shared elsewhere and about impacts on behavior; the group said some materials are trademarked but can be adapted with support, and cited reported reductions in negative behavior and referrals in participating schools. The meeting ended after members praised both the AI presenters and the Pine Bluff outreach group, and the committee adjourned with no votes taken.

Transcript Highlights:

• If it was building an AI ready.
• When we say AI ready, an AI first.
• expand access to AI skills.
• AI fields.
• He talked about AI driven development and next generation materials just had a question around.

Transcript Highlights:

• Generative AI, in particular, can be particularly insidious in some contexts when used by children or
• And then there's generative AI or limited memory AI, which basically has an ability to learn, to access
• AI and chatbots, period.
• Technology is moving faster than any generation before us has ever experienced, and AI is no longer a
• restrictions on government contracts with foreign adversaries and its protections against unauthorized AI-generated

Summary: The Committee on Commerce and Tourism considered a series of bills affecting tax policy, workforce development, business regulation, consumer protection, rural development, and artificial intelligence. SB 1076 would raise Florida’s research and development tax credit cap from $9 million to $50 million beginning with the 2027 allocation, and it was reported favorably. CS/SB 1266 would create a cybersecurity experiential internship and clearance-readiness program with the Department of Commerce and Cyber Florida; an amendment removed an appropriation from the bill, and the committee reported it favorably. SB 554, a broad update to Florida’s not-for-profit corporation law, was also reported favorably after supportive testimony from Florida Bar representatives. SB 1004, aimed at protecting buyers of dogs and cats from deceptive sales and predatory financing practices, received strong support from animal welfare advocates and was reported favorably. SB 1074, which provides rounding rules for cash transactions if pennies are unavailable, was likewise reported favorably. SB 214, expanding the rural community definition to include special districts in rural counties for economic development purposes, was reported favorably. SPB 7030, a public records exemption tied to Department of Legal Affairs investigations, was adopted as a committee bill and favorably reported. The committee also heard extensive discussion on SB 998, the Department of Commerce package. The bill would modernize the Florida Small Cities Community Development Block Grant program, clarify rural community eligibility for certain unincorporated areas, exempt military entities from a reverter clause on land conveyances, and revise E-Verify enforcement procedures. Members questioned the E-Verify provisions, including penalties, protections for workers incorrectly flagged, and the treatment of gig workers. Senator Smith opposed the bill, arguing it creates unequal treatment between employers and immigrant workers, while Senator Wright supported the military-related provisions. Despite the debate, SB 998 was reported favorably, with Senators Bracy Davis, Smith, and Errington voting no. The committee also took up SB 482, an “Artificial Intelligence Bill of Rights” that would create consumer protections for companion chatbots, require parental consent and access for minors, mandate periodic disclosures that users are interacting with AI, restrict certain uses of personal data and likenesses, and give the Attorney General enforcement authority. The bill drew both support and criticism: supporters emphasized child safety, transparency, and consumer protection, while opponents raised concerns about privacy, broad definitions, lack of audit mechanisms, and the absence of a private right of action for adults. Senators Smith and Davis urged clearer definitions and stronger accountability, but both said the bill was a starting point. The committee reported SB 482 favorably. The meeting ended with recorded affirmative votes requested by Senators Yarbrough, Wright, and Davis on selected tabs, and the committee adjourned.

Transcript Highlights:

• Generative AI, in particular, can be particularly insidious in some contexts when used by children or
• And then there's generative AI or limited-memory AI, which basically has an ability to learn, to access
• AI and chatbots, period.
• Technology is moving faster than any generation before us has ever experienced, and AI is no longer a
• restrictions on government contracts with foreign adversaries and its protections against unauthorized AI-generated

Bills: S0214, S0482, S7030, S0554, S0994, S0998, S1004, S1074, S1076, S1266

Keywords: special districts, funding, financial assistance, rural community, state agency, economic development, artificial intelligence, personal data protection, consumer rights, chatbot, deceptive practices, government contracts, public records, consumer protection, data privacy, investigations, proprietary information, chatbots, Florida statutes, nonprofit

Summary: The Committee on Commerce and Tourism heard and advanced several bills focused on economic development, consumer protection, workforce issues, and technology. SB 1076 would raise Florida’s research and development tax credit cap from $9 million to $50 million beginning with the 2027 allocation, and it was reported favorably. SB 1266, as amended, creates a cybersecurity experiential internship and clearance-readiness program with Cyber Florida and was also reported favorably. SB 554, a Florida Bar-backed update to the not-for-profit corporations statute, was approved without opposition. SB 1004, aimed at protecting buyers of dogs and cats from deceptive sales practices and predatory financing at retail pet stores, received supportive testimony from animal welfare advocates and was reported favorably. SB 1074, which sets rounding rules for cash transactions if pennies are unavailable, also passed favorably. The committee also considered SB 998, the Department of Commerce package, which combines updates to the Small Cities CDBG program, clarification of rural community eligibility, an exemption from a reverter clause for military-related land conveyances, and revisions to E-Verify enforcement. The E-Verify portion drew the most debate, with questions about employer cure periods, treatment of current investigations, and whether the bill creates a loophole for independent contractors. Senator Smith opposed the bill, arguing it creates unequal enforcement between employers and immigrant workers, while Senator Wright supported the military-related provisions. SB 998 was reported favorably on a divided vote. SB 214, which expands the rural community definition to include special districts in rural counties, was reported favorably. The committee then took up SB 482, an artificial intelligence consumer-protection bill that creates an “AI bill of rights” covering companion chatbots, parental controls for minors, data privacy, de-identified data, unauthorized use of likeness, and enforcement by the Attorney General, with a limited private cause of action for minors. The bill drew extensive testimony both in support and in opposition, including concerns about privacy, age verification, and enforcement, but it was reported favorably. Finally, the committee approved SPB 7030, a public-records exemption tied to Department of Legal Affairs investigations under the AI bill, and adjourned after members requested to be recorded on certain votes.

Transcript Highlights:

• IN 2024 ALONE WE HAVE AWARDED 44,000 TRUCK PULLS BY LEVERAGING AI ALGORITHMS AND THE AI POWERED SMART
• COHEN SPOKE ABOUT SELF GENERATION.
• AI IS NOT NEW TO AT&T.
• AI IS A TOOL THAT SUPPORTS US.
• AI IS NOT PERFECT.

Transcript Highlights:

• So, in real-time matters, we're not solely focused on what the AI generation, a chatbot, if you will,
• You're using technology and algorithms to analyze data, but you're not using any generative AI.
• So then in generating your sit-reps, if you're going to use AI to do your sit-reps, what would you do
• The ChatGPT and generative AI, part of the issue with trustworthiness comes from the fact that we don't
• AI has been around for more than 50 years, so it's not just the generative AI that's there in The generative

Summary: The Natural Resources and Disaster Subcommittee met to discuss the use of artificial intelligence in emergency management and related public-safety applications. The panel included the Florida Division of Emergency Management, the University of Florida, and Florida International University. FDEM described current uses of AI for invoice anomaly detection, automated situation report drafting, and data synthesis in WebEOC, emphasizing that AI is used to speed analysis and improve efficiency but not to replace human decision-making. The agency also said counties retain access through backup communications such as Starlink and generators, and that WebEOC provides shared visibility, archived documentation, and a common operating picture across all 67 counties. University of Florida representatives highlighted Beacon, an AI-enabled public safety audio service developed with FDEM and public media partners to distribute official alerts across multiple platforms, including mobile devices and digital streams. UF IFAS described a geospatial AI “Gaia bot” that turns satellite data into natural-language answers and maps for crop damage assessment and flood-risk mapping, with a focus on making complex Earth-observation data more accessible to growers and policymakers. FIU presented AI models that predict water levels and flood mitigation settings much faster than traditional simulation tools, with comparable or better accuracy, and said the work includes explainability features and broader research on compound flooding. Members asked extensive questions about storm surge, hallucinations, whether generative AI or large language models were being used, data vetting, and hardware needs. The witnesses repeatedly stressed that their systems are not autonomous, that human review remains central, and that the models used are primarily data-driven predictive tools rather than chatbot-style generative AI. The meeting ended with thanks to the panelists and an announcement that the committee’s policy chief was leaving for another position. Representative Mooney then moved that the committee rise, and the meeting adjourned.