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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 almost three decades of experience advising clients in the communications, media and technology sectors, and has held leadership roles in these practices for almost 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.

This quarterly update highlights key legislative, regulatory, and litigation developments in the fourth quarter of 2023 and early January 2024 related to technology issues.  These included developments related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), data privacy, and cybersecurity.  As noted below, some of these developments provide companies with the opportunity for participation and comment.

I. Artificial Intelligence

Federal Executive Developments on AI

The Executive Branch and U.S. federal agencies had an active quarter, which included the White House’s October 2023 release of the Executive Order (“EO”) on Safe, Secure, and Trustworthy Artificial Intelligence.  The EO declares a host of new actions for federal agencies designed to set standards for AI safety and security; protect Americans’ privacy; advance equity and civil rights; protect vulnerable groups such as consumers, patients, and students; support workers; promote innovation and competition; advance American leadership abroad; and effectively regulate the use of AI in government.  The EO builds on the White House’s prior work surrounding the development of responsible AI.  Concerning privacy, the EO sets forth a number of requirements for the use of personal data for AI systems, including the prioritization of federal support for privacy-preserving techniques and strengthening privacy-preserving research and technologies (e.g., cryptographic tools).  Regarding equity and civil rights, the EO calls for clear guidance to landlords, Federal benefits programs, and Federal contractors to keep AI systems from being used to exacerbate discrimination.  The EO also sets out requirements for developers of AI systems, including requiring companies developing any foundation model “that poses a serious risk to national security, national economic security, or national public health and safety” to notify the federal government when training the model and provide results of all red-team safety tests to the government.

Federal Legislative Activity on AI

Congress continued to evaluate AI legislation and proposed a number of AI bills, though none of these bills are expected to progress in the immediate future.  For example, members of Congress continued to hold meetings on AI and introduced bills related to deepfakes, AI research, and transparency for foundational models.

  • Deepfakes and Inauthentic Content:  In October 2023, a group of bipartisan senators released a discussion draft of the NO FAKES Act, which would prohibit persons or companies from producing an unauthorized digital replica of an individual in a performance or hosting unauthorized digital replicas if the platform has knowledge that the replica was not authorized by the individual depicted. 
  • Research:  In November 2023, Senator Thune (R-SD), along with five bipartisan co-sponsors, introduced the Artificial Intelligence Research, Innovation, and Accountability Act (S. 3312), which would require covered internet platforms that operate generative AI systems to provide their users with clear and conspicuous notice that the covered internet platform uses generative AI. 
  • Transparency for Foundational Models:  In December 2023, Representative Beyer (D-VA-8) introduced the AI Foundation Model Act (H.R. 6881), which would direct the Federal Trade Commission (“FTC”) to establish transparency standards for foundation model deployers in consultation with other agencies.  The standards would require companies to provide consumers and the FTC with information on a model’s training data and mechanisms, as well as information regarding whether user data is collected in inference.
  • Bipartisan Senate Forums:  Senator Schumer’s (D-NY) AI Insight Forums, which are a part of his SAFE Innovation Framework, continued to take place this quarter.  As part of these forums, bipartisan groups of senators met multiple times to learn more about key issues in AI policy, including privacy and liability, long-term risks of AI, and national security.

Continue Reading U.S. Tech Legislative, Regulatory & Litigation Update – Fourth Quarter 2023

Technology companies are grappling with unprecedented changes that promise to accelerate exponentially in the challenging period ahead. We invite you to join Covington experts and invited presenters from around the world to explore the key issues faced by businesses developing or deploying cutting-edge technologies. These highly concentrated sessions are packed with immediately actionable advice. Each

The Federal Trade Commission’s (“FTC”) Office of Technology announced that it will hold a half-day virtual “FTC Tech Summit” on January 25, 2024 to address key developments in the field of artificial intelligence (“AI”).

The FTC’s event website notes that the Summit will “bring together a diverse set of perspectives across academia, industry, civil society

The field of artificial intelligence (“AI”) is at a tipping point. Governments and industries are under increasing pressure to forecast and guide the evolution of a technology that promises to transform our economies and societies. In this series, our lawyers and advisors provide an overview of the policy approaches and regulatory frameworks for AI in jurisdictions around the world. Given the rapid pace of technological and policy developments in this area, the articles in this series should be viewed as snapshots in time, reflecting the current policy environment and priorities in each jurisdiction.

The following article examines the state of play in AI policy and regulation in the United States. The previous article in this series covered the European Union.

Future of AI Policy in the U.S.

U.S. policymakers are focused on artificial intelligence (AI) platforms as they explode into the mainstream.  AI has emerged as an active policy space across Congress and the Biden Administration, as officials scramble to educate themselves on the technology while crafting legislation, rules, and other measures to balance U.S. innovation leadership with national security priorities.

Over the past year, AI issues have drawn bipartisan interest and support.  House and Senate committees have held nearly three dozen hearings on AI this year alone, and more than 30 AI-focused bills have been introduced so far this Congress.  Two bipartisan groups of Senators have announced separate frameworks for comprehensive AI legislation.  Several AI bills—largely focused on the federal government’s internal use of AI—have also been voted on and passed through committees. 

Meanwhile, the Biden Administration has announced plans to issue a comprehensive executive order this fall to address a range of AI risks under existing law.  The Administration has also taken steps to promote the responsible development and deployment of AI systems, including securing voluntary commitments regarding AI safety and transparency from 15 technology companies. 

Despite strong bipartisan interest in AI regulation, commitment from leaders of major technology companies engaged in AI R&D, and broad support from the general public, passing comprehensive AI legislation remains a challenge.  No consensus has emerged around either substance or process, with different groups of Members, particularly in the Senate, developing their own versions of AI legislation through different procedures.  In the House, a bipartisan bill would punt the issue of comprehensive regulation to the executive branch, creating a blue-ribbon commission to study the issue and make recommendations.

I. Major Policy & Regulatory Initiatives

Three versions of a comprehensive AI regulatory regime have emerged in Congress – two in the Senate and one in the House.  We preview these proposals below.

            A. SAFE Innovation: Values-Based Framework and New Legislative Process

In June, Senate Majority Leader Chuck Schumer (D-NY) unveiled a new bipartisan proposal—with Senators Martin Heinrich (D-NM), Todd Young (R-IN), and Mike Rounds (R-SD)—to develop legislation to promote and regulate artificial intelligence.  Leader Schumer proposed a plan to boost U.S. global competitiveness in AI development, while ensuring appropriate protections for consumers and workers.Continue Reading Spotlight Series on Global AI Policy — Part II: U.S. Legislative and Regulatory Developments

This quarterly update summarizes key legislative and regulatory developments in the second quarter of 2023 related to key technologies and related topics, including Artificial Intelligence (“AI”), the Internet of Things (“IoT”), connected and automated vehicles (“CAVs”), data privacy and cybersecurity, and online teen safety.

Artificial Intelligence

AI continued to be an area of significant interest of both lawmakers and regulators throughout the second quarter of 2023.  Members of Congress continue to grapple with ways to address risks posed by AI and have held hearings, made public statements, and introduced legislation to regulate AI.  Notably, Senator Chuck Schumer (D-NY) revealed his “SAFE Innovation framework” for AI legislation.  The framework reflects five principles for AI – security, accountability, foundations, explainability, and innovation – and is summarized here.  There were also a number of AI legislative proposals introduced this quarter.  Some proposals, like the National AI Commission Act (H.R. 4223) and Digital Platform Commission Act (S. 1671), propose the creation of an agency or commission to review and regulate AI tools and systems.  Other proposals focus on mandating disclosures of AI systems.  For example, the AI Disclosure Act of 2023 (H.R. 3831) would require generative AI systems to include a specific disclaimer on any outputs generated, and the REAL Political Advertisements Act (S. 1596) would require political advertisements to include a statement within the contents of the advertisement if generative AI was used to generate any image or video footage.  Additionally, Congress convened hearings to explore AI regulation this quarter, including a Senate Judiciary Committee Hearing in May titled “Oversight of A.I.: Rules for Artificial Intelligence.”

There also were several federal Executive Branch and regulatory developments focused on AI in the second quarter of 2023, including, for example:

  • White House:  The White House issued a number of updates on AI this quarter, including the Office of Science and Technology Policy’s strategic plan focused on federal AI research and development, discussed in greater detail here.  The White House also requested comments on the use of automated tools in the workplace, including a request for feedback on tools to surveil, monitor, evaluate, and manage workers, described here.
  • CFPB:  The Consumer Financial Protection Bureau (“CFPB”) issued a spotlight on the adoption and use of chatbots by financial institutions.
  • FTC:  The Federal Trade Commission (“FTC”) continued to issue guidance on AI, such as guidance expressing the FTC’s view that dark patterns extend to AI, that generative AI poses competition concerns, and that tools claiming to spot AI-generated content must make accurate disclosures of their abilities and limitations.
  • HHS Office of National Coordinator for Health IT:  This quarter, the Department of Health and Human Services (“HHS”) released a proposed rule related to certified health IT that enables or interfaces with “predictive decision support interventions” (“DSIs”) that incorporate AI and machine learning technologies.  The proposed rule would require the disclosure of certain information about predictive DSIs to enable users to evaluate DSI quality and whether and how to rely on the DSI recommendations, including a description of the development and validation of the DSI.  Developers of certified health IT would also be required to implement risk management practices for predictive DSIs and make summary information about these practices publicly available.

Continue Reading U.S. Tech Legislative & Regulatory Update – Second Quarter 2023

On April 25, 2023, four federal agencies — the Department of Justice (“DOJ”), Federal Trade Commission (“FTC”), Consumer Financial Protection Bureau (“CFPB”), and Equal Employment Opportunity Commission (“EEOC”) — released a joint statement on the agencies’ efforts to address discrimination and bias in automated systems. 

The statement applies to “automated systems,” which are broadly defined “to mean software and algorithmic processes” beyond AI.  Although the statement notes the significant benefits that can flow from the use of automated systems, it also cautions against unlawful discrimination that may result from that use. 

The statement starts by summarizing the existing legal authorities that apply to automated systems and each agency’s guidance and statements related to AI.  Helpfully, the statement serves to aggregate links to key AI-related guidance documents from each agency, providing a one-stop-shop for important AI-related publications for all four entities.  For example, the statement summarizes the EEOC’s remit in enforcing federal laws that make it unlawful to discriminate against an applicant or employee and the EEOC’s enforcement activities related to AI, and includes a link to a technical assistance document.  Similarly, the report outlines the FTC’s reports and guidance on AI, and includes multiple links to FTC AI-related documents.

After providing an overview of each agency’s position and links to key documents, the statement then summarizes the following sources of potential discrimination and bias, which could indicate the regulatory and enforcement priorities of these agencies.

  • Data and Datasets:  The statement notes that outcomes generated by automated systems can be skewed by unrepresentative or imbalanced data sets.  The statement says that flawed data sets, along with correlation between data and protected classes, can lead to discriminatory outcomes.
  • Model Opacity and Access:  The statement observes that some automated systems are “black boxes,” meaning that the internal workings of automated systems are not always transparent to people, and thus difficult to oversee.
  • Design and Use:  The statement also notes that flawed assumptions about users may play a role in unfair or biased outcomes.

We will continue to monitor these and related developments across our blogs.Continue Reading DOJ, FTC, CFPB, and EEOC Statement on Discrimination and AI

This quarterly update summarizes key legislative and regulatory developments in the fourth quarter of 2022 related to Artificial Intelligence (“AI”), the Internet of Things (“IoT”), connected and autonomous vehicles (“CAVs”), and data privacy and cybersecurity.

Artificial Intelligence

In the last quarter of 2022, the annual National Defense Authorization Act (“NDAA”), which contained AI-related provisions, was enacted into law.  The NDAA creates a pilot program to demonstrate use cases for AI in government. Specifically, the Director of the Office of Management and Budget (“Director of OMB”) must identify four new use cases for the application of AI-enabled systems to support modernization initiatives that require “linking multiple siloed internal and external data sources.” The pilot program is also meant to enable agencies to demonstrate the circumstances under which AI can be used to modernize agency operations and “leverage commercially available artificial intelligence technologies that (i) operate in secure cloud environments that can deploy rapidly without the need to replace operating systems; and (ii) do not require extensive staff or training to build.” Finally, the pilot program prioritizes use cases where AI can drive “agency productivity in predictive supply chain and logistics,” such as predictive food demand and optimized supply, predictive medical supplies and equipment demand, predictive logistics for disaster recovery, preparedness and response.

At the state level, in late 2022, there were also efforts to advance requirements for AI used to make certain types of decisions under comprehensive privacy frameworks.  The Colorado Privacy Act draft rules were updated to clarify the circumstances that require controllers to provide an opt-out right for the use of automated decision-making and requirements for assessments of profiling decisions.  In California, although the California Consumer Privacy Act draft regulations do not yet cover automated decision-making, the California Privacy Protection Agency rules subcommittee provided a sample list of related questions concerning this during its December 16, 2022 board meeting.Continue Reading U.S. AI, IoT, CAV, and Privacy Legislative Update – Fourth Quarter 2022

Many employers and employment agencies have turned to artificial intelligence (“AI”) tools to assist them in making better and faster employment decisions, including in the hiring and promotion processes.  The use of AI for these purposes has been scrutinized and will now be regulated in New York City.  The New York City Department of Consumer

This quarterly update summarizes key federal legislative and regulatory developments in the second quarter of 2022 related to artificial intelligence (“AI”), the Internet of Things, connected and automated vehicles (“CAVs”), and data privacy, and highlights a few particularly notable developments in U.S. state legislatures.  To summarize, in the second quarter of 2022, Congress and the Administration focused on addressing algorithmic bias and other AI-related risks and introduced a bipartisan federal privacy bill.

Artificial Intelligence

Federal lawmakers introduced legislation in the second quarter of 2022 aimed at addressing risks in the development and use of AI systems, in particular risks related to algorithmic bias and discrimination.  Senator Michael Bennet (D-CO) introduced the Digital Platform Commission Act of 2022 (S. 4201), which would empower a new federal agency, the Federal Digital Platform Commission, to develop regulations for online platforms that facilitate interactions between consumers, as well as between consumers and entities offering goods and services.  Regulations contemplated by the bill include requirements that algorithms used by online platforms “are fair, transparent, and without harmful, abusive, anticompetitive, or deceptive bias.”  Although this bill does not appear to have the support to be passed in this Congress, it is emblematic of the concerns in Congress that might later lead to legislation.

Additionally, the bipartisan American Data Privacy and Protection Act (H.R. 8152), introduced by a group of lawmakers led by Representative Frank Pallone (D-NJ-6), would require “large data holders” (defined as covered entities and service providers with over $250 million in gross annual revenue that collect, process, or transfer the covered data of over five million individuals or the sensitive covered data of over 200,000 individuals) to conduct “algorithm impact assessments” on algorithms that “may cause potential harm to an individual.”  These assessments would be required to provide, among other information, details about the design of the algorithm and the steps the entity is taking to mitigate harms to individuals.  Separately, developers of algorithms would be required to conduct “algorithm design evaluations” that evaluate the design, structure, and inputs of the algorithm.  The American Data Privacy and Protection Act is discussed in further detail in the Data Privacy section below.Continue Reading U.S. AI, IoT, CAV, and Data Privacy Legislative and Regulatory Update – Second Quarter 2022

          On April 28, 2022, Covington convened experts across our practice groups for the Covington Robotics Forum, which explored recent developments and forecasts relevant to industries affected by robotics.  One segment of the Robotics Forum covered risks of automation and AI, highlights of which are captured here.  A full recording of the Robotics Forum is available here until May 31, 2022.

            As AI and robotics technologies mature, the use-cases are expected to grow in increasingly complex areas and to pose new risks. Because lawsuits have settled prior to a court deciding liability questions, no settled case law yet exists to identify where the liability rests between robotics engineers, AI designers, and manufacturers.  Scholars and researchers have proposed addressing these issues through products liability and discrimination doctrines, including the creation of new legal remedies specific to AI technology and particular use-cases, such as self-driving cars.  Proposed approaches for liability through existing doctrines have included:Continue Reading Robotics Spotlight: Risks of Automation and AI