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Jennifer Johnson

Jennifer Johnson is a partner specializing in communications, media and technology matters who serves as Co-Chair of Covington’s Technology Industry Group and its global and multi-disciplinary Artificial Intelligence (AI) and Internet of Things (IoT) Groups. She represents and advises technology companies, content distributors, television companies, trade associations, and other entities on a wide range of media and technology matters. Jennifer has three decades of experience advising clients in the communications, media and technology sectors, and has held leadership roles in these practices for more than twenty years. On technology issues, she collaborates with Covington's global, multi-disciplinary team to assist companies navigating the complex statutory and regulatory constructs surrounding this evolving area, including product counseling and technology transactions related to connected and autonomous vehicles, internet connected devices, artificial intelligence, smart ecosystems, and other IoT products and services. Jennifer serves on the Board of Editors of The Journal of Robotics, Artificial Intelligence & Law.

Jennifer assists clients in developing and pursuing strategic business and policy objectives before the Federal Communications Commission (FCC) and Congress and through transactions and other business arrangements. She regularly advises clients on FCC regulatory matters and advocates frequently before the FCC. Jennifer has extensive experience negotiating content acquisition and distribution agreements for media and technology companies, including program distribution agreements, network affiliation and other program rights agreements, and agreements providing for the aggregation and distribution of content on over-the-top app-based platforms. She also assists investment clients in structuring, evaluating, and pursuing potential investments in media and technology companies.

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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 July 23, the White House released its AI Action Plan, outlining the key priorities of the Trump Administration’s AI policy agenda.  In parallel, President Trump signed three AI executive orders directing the Executive Branch to implement the AI Action Plan’s policies on “Preventing Woke AI in the Federal Government,” “Accelerating Federal Permitting of…

    Continue Reading Trump Administration Issues AI Action Plan and Series of AI Executive Orders

    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

    On June 3, 2025, the OECD introduced a new framework called AI Capability Indicators that compares AI capabilities to human abilities. The framework is intended to help policymakers assess the progress of AI systems and enable informed policy responses to new AI advancements. The indicators are designed to help non-technical policymakers understand the degree of advancement of different AI capabilities. AI researchers, policymakers, and other stakeholder groups, including economists, psychologists, and education specialists, are invited to submit their feedback to the current beta-framework.

    Continue Reading OECD Introduces AI Capability Indicators for Policymakers

    On Friday, May 23, the Federal Communications Commission (the “FCC”) released a Public Notice requesting public input on whether certain CAV-related communications equipment and services with connections to Russia and the People’s Republic of China should be added to the “Covered List” – a list maintained by the FCC of communications equipment and services found…

    Continue Reading FCC Seeks Public Input on Adding Connected Vehicle Technology to the Covered List

    Updated June 24, 2025.  Originally posted April 30, 2025.

    In April, the Federal Communications Commission (“FCC”) adopted a Notice of Proposed Rulemaking (“NPRM”) that proposes to clarify existing definitions in the FCC’s foreign ownership rules and codify certain practices regarding the filing requirements for, and the agency’s processing of, foreign ownership petitions (Petitions…

    Continue Reading FCC Proposes Changes to Foreign Ownership Rules and Related Filings Processes

    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