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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.

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

In a new post on the Inside Tech Media blog, our colleagues discuss the “Quantum Computing Cybersecurity Preparedness Act,” which President Biden signed into law in the final days of 2022.  The Act recognizes that current encryption protocols used by the federal government might one day be vulnerable to

Continue Reading President Biden Signs Quantum Computing Cybersecurity Preparedness Act

Today, the California Attorney General announced the first settlement agreement under the California Consumer Privacy Act (“CCPA”).  The Attorney General alleged that online retailer Sephora, Inc. failed to disclose to consumers that it was selling their information and failed to process user requests to opt out of sale via user-enabled

Continue Reading California Attorney General Announces First CCPA Settlement

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.  Sam Jungyun Choi, Associate in Covington’s Technology Regulatory Group, and Anna Oberschelp, Associate in Covington’s Data Privacy & Cybersecurity Practice Group, discussed global regulatory trends that affect robotics, highlights of which are captured here.  A recording of the forum is available here until May 31, 2022.

Trends on Regulating Artificial Intelligence

            According to the Organization for Economic Cooperation and Development  Artificial Intelligence Policy Observatory (“OECD”), since 2017, at least 60 countries have adopted some form of AI policy, a torrent of government activity that nearly matches the pace of modern AI adoption.  Countries around the world are establishing governmental and intergovernmental strategies and initiatives to guide the development of AI.  These AI initiatives include: (1) AI regulation or policy; (2) AI enablers (e.g., research and public awareness); and (3) financial support (e.g., procurement programs for AI R&D).  The anticipated introduction of AI regulations raises concerns about looming challenges for international cooperation.Continue Reading Robotics Spotlight: Global Regulatory Trends Affecting Robotics

The Connecticut legislature passed Connecticut SB 6 on April 28, 2022.  If signed by the governor, the bill would take effect on July 1, 2023, though the task force created by the bill will be required to begin work sooner.

The bill closely resembles the Colorado Privacy Act, with a
Continue Reading Connecticut Legislature Passes Comprehensive Privacy Bill

Utah appears poised to be the next state with a comprehensive privacy law on its books, following CaliforniaVirginia, and Colorado.  On March 2nd, the Utah House of Representatives voted unanimously to approve an amended version of the legislative proposal, and the Senate concurred with the House
Continue Reading Utah Legislature Passes Comprehensive Privacy Bill

Last week the California Privacy Protection Agency (“CPPA”) held its sixth Board meeting and first meeting of 2022.  The meeting notably included a discussion of the expected timing for issuing final regulations implementing the California Privacy Rights Act.

As a reminder, the Agency gave notice to the California Attorney General
Continue Reading California Privacy Protection Agency Clarifies Timing of Forthcoming CPRA Regulations