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Jayne Ponder

Jayne Ponder provides strategic advice to national and multinational companies across industries on existing and emerging data privacy, cybersecurity, and artificial intelligence laws and regulations.

Jayne’s practice focuses on helping clients launch and improve products and services that involve laws governing data privacy, artificial intelligence, sensitive data and biometrics, marketing and online advertising, connected devices, and social media. For example, Jayne regularly advises clients on the California Consumer Privacy Act, Colorado AI Act, and the developing patchwork of U.S. state data privacy and artificial intelligence laws. She advises clients on drafting consumer notices, designing consent flows and consumer choices, drafting and negotiating commercial terms, building consumer rights processes, and undertaking data protection impact assessments. In addition, she routinely partners with clients on the development of risk-based privacy and artificial intelligence governance programs that reflect the dynamic regulatory environment and incorporate practical mitigation measures.

Jayne routinely represents clients in enforcement actions brought by the Federal Trade Commission and state attorneys general, particularly in areas related to data privacy, artificial intelligence, advertising, and cybersecurity. Additionally, she helps clients to advance advocacy in rulemaking processes led by federal and state regulators on data privacy, cybersecurity, and artificial intelligence topics.

As part of her practice, Jayne also advises companies on cybersecurity incident preparedness and response, including by drafting, revising, and testing incident response plans, conducting cybersecurity gap assessments, engaging vendors, and analyzing obligations under breach notification laws following an incident.

Jayne maintains an active pro bono practice, including assisting small and nonprofit entities with data privacy topics and elder estate planning.

Contact:Read more about Jayne PonderEmail

This update highlights key mid-year legislative and regulatory developments and builds on our first quarter update related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), Internet of Things (“IoT”), and cryptocurrencies and blockchain developments.

I. Federal AI Legislative Developments

    In the first session of the 119th Congress, lawmakers rejected a proposed moratorium on state and local enforcement of AI laws and advanced several AI legislative proposals focused on deepfake-related harms.  Specifically, on July 1, after weeks of negotiations, the Senate voted 99-1 to strike a proposed 10-year moratorium on state and local enforcement of AI laws from the budget reconciliation package, the One Big Beautiful Bill Act (H.R. 1), which President Trump signed into law.  The vote to strike the moratorium follows the collapse of an agreement on revised language that would have shortened the moratorium to 5 years and allowed states to enforce “generally applicable laws,” including child online safety, digital replica, and CSAM laws, that do not have an “undue or disproportionate effect” on AI.  Congress could technically still consider the moratorium during this session, but the chances of that happening are low based on both the political atmosphere and the lack of a must-pass legislative vehicle in which it could be included.  See our blog post on this topic for more information.

    Additionally, lawmakers continue to focus legislation on deepfakes and intimate imagery.  For example, on May 19, President Trump signed the Tools to Address Known Exploitation by Immobilizing Technological Deepfakes on Websites and Networks (“TAKE IT DOWN”) Act (H.R. 633 / S. 146) into law, which requires online platforms to establish a notice and takedown process for nonconsensual intimate visual depictions, including certain depictions created using AI.  See our blog post on this topic for more information.  Meanwhile, members of Congress continued to pursue additional legislation to address deepfake-related harms, such as the STOP CSAM Act of 2025 (S. 1829 / H.R. 3921) and the Disrupt Explicit Forged Images And Non-Consensual Edits (“DEFIANCE”) Act (H.R. 3562 / S. 1837).Continue Reading U.S. Tech Legislative & Regulatory Update – 2025 Mid-Year Update

    On July 29, 2025, the National Institute of Standards & Technology (“NIST”) unveiled an outline for preliminary, stakeholder-driven standards, known as a “zero draft”, for AI testing, evaluation, verification and validation (“TEVV”).  This outline is part of NIST’s AI Standards Zero Drafts pilot project, which was announced on March 25, 2025, as we previously reported. The goal is to create a flexible, high-level framework for companies to design their own AI testing and validation procedures. Of note, NIST is not prescribing exact methods for testing and validation. Instead, it offers a structure around key terms, lifecycle stages, and guiding principles that align with future international standards. NIST has asked for stakeholder input on the topics, scope, and priorities of the Zero Drafts process, and feedback is open until September 12, 2025.

    The NIST outline breaks AI TEVV into several foundational elements, a non-exhaustive list of which includes:Continue Reading NIST Welcomes Comments for AI Standards Zero Drafts Project

    On June 22, Texas Governor Greg Abbott (R) signed the Texas Responsible AI Governance Act (“TRAIGA”) (HB 149) into law.  The law, which takes effect on January 1, 2026, makes Texas the second state to enact comprehensive AI consumer protection legislation, following the 2024 enactment of the Colorado AI Act.  Unlike the…

    Continue Reading Texas Enacts AI Consumer Protection Law

    On June 17, the Joint California Policy Working Group on AI Frontier Models (“Working Group”) issued its final report on frontier AI policy, following public feedback on the draft version of the report released in March.  The report describes “frontier models” as the “most capable” subset of foundation models, or a class of general-purpose technologies…

    Continue Reading California Frontier AI Working Group Issues Final Report on Frontier Model Regulation

    On June 12, the New York legislature passed the Responsible AI Safety & Education (“RAISE”) Act (S 6953), a frontier model public safety bill that would establish safeguard, reporting, disclosure, and other requirements for large developers of frontier AI models.  If signed into law by Governor Kathy Hochul (D), the RAISE Act would…

    Continue Reading New York Legislature Passes Sweeping AI Safety Legislation

    This quarterly update highlights key legislative, regulatory, and litigation developments in the first quarter of 2025 related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), and cryptocurrencies and blockchain. 

    I. Artificial Intelligence

    A. Federal Legislative Developments

    In the first quarter, members of Congress introduced several AI bills addressing national security, including bills that would encourage the use of AI for border security and drug enforcement purposes.  Other AI legislative proposes focused on workforce skills, international investment in critical industries, U.S. AI supply chain resilience, and AI-enabled fraud.  Notably, members of Congress from both parties advanced legislation to regulate AI deepfakes and codify the National AI Research Resource, as discussed below.

    • CREATE AI Act:  In March, Reps. Jay Obernolte (R-CA) and Don Beyer (D-VA) re-introduced the Creating Resources for Every American To Experiment with Artificial Intelligence (“CREATE AI”) Act (H.R. 2385), following its introduction and near passage in the Senate last year.  The CREATE AI Act would codify the National AI Research Resource (“NAIRR”), with the goal of advancing AI development and innovation by offering AI computational resources, common datasets and repositories, educational tools and services, and AI testbeds to individuals, private entities, and federal agencies.  The CREATE AI Act builds on the work of the NAIRR Task Force, established by the National AI Initiative Act of 2020, which issued a final report in January 2023 recommending the establishment of NAIRR.

    Continue Reading U.S. Tech Legislative & Regulatory Update – First Quarter 2025

    On March 18, the Joint California Policy Working Group on AI Frontier Models (the “Working Group”) released its draft report on the regulation of foundation models, with the aim of providing an “evidence-based foundation for AI policy decisions” in California that “ensure[s] these powerful technologies benefit society globally while reasonably managing emerging risks.”  The Working Group was established by California Governor Gavin Newsom (D) in September 2024, following his veto of California State Senator Scott Wiener (D-San Francisco)’s Safe & Secure Innovation for Frontier AI Models Act (SB 1047).  The Working Group builds on California’s partnership with Stanford University and the University of California, Berkeley, established by Governor Newsom’s 2023 Executive Order on generative AI.

    Noting that “foundation model capabilities have rapidly improved” since the veto of SB 1047 and that California’s “unique opportunity” to shape AI governance “may not remain open indefinitely,” the report assesses transparency, third-party risk assessment, and adverse event reporting requirements as key components for foundation model regulation.Continue Reading California Frontier AI Working Group Issues Report on Foundation Model Regulation

    State lawmakers are considering a diverse array of AI legislation, with hundreds of bills introduced in 2025.  As described further in this blog post, many of these AI legislative proposals fall into several key categories: (1) comprehensive consumer protection legislation similar to the Colorado AI Act, (2) sector-specific legislation on automated decision-making, (3) chatbot regulation, (4) generative AI transparency requirements, (5) AI data center and energy usage requirements, and (6) frontier model public safety legislation.  Although these categories represent just a subset of current AI legislative activity, they illustrate the major priorities of state legislatures and highlight new AI laws that may be on the horizon.Continue Reading State Legislatures Consider New Wave of 2025 AI Legislation

    This quarterly update highlights key legislative, regulatory, and litigation developments in the third quarter of 2024 related to artificial intelligence (“AI”) and connected and automated vehicles (“CAVs”).  As noted below, some of these developments provide industry with the opportunity for participation and comment.

    I.     Artificial Intelligence

    Federal Legislative Developments

    There continued to be strong bipartisan…

    Continue Reading U.S. Tech Legislative, Regulatory & Litigation Update – Third Quarter 2024

    On October 22, the National Institute of Standards and Technology (“NIST”) Internet of Things (“IoT”) Advisory Board released the Internet of Things Advisory Board Report, which concludes that IoT development has progressed more slowly than anticipated and identifies 26 findings that explain the slower pace of development and growth.  The Report offers 104 recommendations on how the government can help foster IoT development.  The Advisory Board provided this report to the IoT Federal Working Group emphasizing that an IoT transformation will boost U.S. economic growth, increase public safety and national resilience, create a more sustainable planet, individualize healthcare, foster equitable quality of life and well-being, and facilitate autonomous operations of our national infrastructure.  For background, the IoT Federal Working Group was established by Congress in 2020 and was charged with identifying policies and statutes inhibiting IoT development and consider recommendations of the Advisory Board. Continue Reading NIST Report and Recommendations on Fostering Development of the Internet of Things