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Jayne Ponder

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Jayne Ponder is an associate in the firm's Washington, DC office and a member of the Data Privacy and Cybersecurity Practice Group. Jayne’s practice focuses on a broad range of privacy, data security, and technology issues. She provides ongoing privacy and data protection counsel to companies, including on topics related to privacy policies and data practices, the California Consumer Privacy Act, and cyber and data security incident response and preparedness.

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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

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 compromise as a result of…

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 global privacy controls.  The Attorney…

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 few notable additions.  Like the…