Photo of Jayne Ponder

Jayne Ponder

Jayne Ponder counsels companies on the intersection of privacy, AI, and emerging technology regulation, and routinely represents clients in regulatory inquiries, investigations, and enforcement matters before federal and state agencies.

Jayne counsels clients across industries to launch and enhance products, services, and governance programs involving their collection and use of data and emerging technologies. Her experience spans U.S. comprehensive privacy, automated decisionmaking, AI governance, biometric privacy, surveillance and algorithmic pricing, and AI transparency, disclosure, and safety frameworks. She partners with clients to design products and governance programs that keep pace with the dynamic regulatory environment, including in connection with digital and online advertising, social media, AI-powered and agentic services, connected devices, and robotics.

In addition, she advises companies on engagement with federal and state regulators, including through enforcement and rulemaking. Jayne analyzes privacy and security risks in complex corporate transactions. She also provides strategic input on the legislative, regulatory, and policy developments shaping the privacy and AI landscape.

Jayne maintains an active pro bono practice, focusing on assisting nonprofits with their privacy programs and elder estate planning.

State legislatures have passed new laws focused on disclosing the use of AI in advertisements or depictions of individuals. On September 16, California Governor Gavin Newsom signed SB 1050, a new law requiring disclosures when certain advertisements prominently feature a “synthetic performer.”  This was one of several AI-related measures signed by Governor Newsom this year, which we summarized in our prior blog post.

Continue Reading New AI Transparency Requirements Enacted For Advertisers And Deployers

Governor Gavin Newsom of California signed over 20 AI-related bills into law in the final days of September. Several of these bills address topics such as frontier model and generative AI oversight, AI transparency, and new requirements for use of AI in particular industries, described below. In addition to these bills, Governor Newsom also signed into law a sweeping set of AI bills relating to minors’ safety and privacy, which are described in our prior blog post, and novel frameworks related to the use of ADMT in the workplace, which we previously summarized here.

These newly passed laws include the following:

Continue Reading California Governor Signs Over 20 AI-related Bills into Law

On September 30, California Governor Gavin Newsom signed three laws that will regulate the use of AI in the employment context, starting in the new year. Below, we briefly summarize these developments, which we discuss in greater detail in our prior blog post. These laws join an existing body of California AI employment regulations.…

Continue Reading New California AI Employment Laws: Key Requirements for Employers

Employers increasingly rely on automated tools to help make decisions concerning hiring, promotion, discipline, and termination. In response, state legislatures and agencies have begun to regulate uses of these technologies, often referred to as automated decision-making technology (“ADMT”). These laws generally require entities that deploy ADMT in the employment context to, among other requirements, notify…

Continue Reading ADMT Law Round-Up: What Employers Need to Know About Recent ADMT Laws

This update highlights key legislative and regulatory developments in the second quarter of 2026 related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), and Internet of Things (“IoT”).

Continue Reading U.S. Tech Legislative & Regulatory Update – Second Quarter 2026

On July 6, 2026, Illinois Governor JB Pritzker signed into law SB 315, a frontier model safety act that resembles the New York RAISE Act, discussed in our prior blog post here, and California’s Transparency in Frontier Artificial Intelligence Act (TFAIA), discussed in our prior blog post here. The law takes effect January 1, 2027, with transparency-reporting and audit obligations beginning January 1, 2028.  Similar to the New York and California laws, SB 315 will apply to frontier developers (i.e., persons that train, or initiate the training of, a frontier model using computing power greater than 10^26 integer or floating point operations), with certain provisions applicable only to large frontier developers (i.e., frontier developers with annual gross revenue over $500 million in the preceding year). SB 315 also includes public safety disclosure and reporting requirements. Notably, SB 315 also imposes a third-party audit requirement not found in either the New York or the California law.

Continue Reading Illinois Enacts Frontier Model Safety Law

On May 1, the Connecticut legislature passed an artificial intelligence (“AI”) safety, transparency, and consumer protection bill (“SB 5”). While the Colorado legislature takes steps to streamline existing requirements for developers and deployers of AI systems, Connecticut has passed a multi-part framework that will impose requirements on large frontier developers, operators of AI companions, developers…

Continue Reading Connecticut Passes Comprehensive AI Law

On May 7, the Colorado Senate passed SB 189, a bill that would repeal and replace the state’s Colorado AI Act enacted in 2024 and scheduled to take effect on June 30, 2026. If enacted, SB 189 would replace the current framework with a narrower statute focusing primarily on disclosure, recordkeeping, and consumer notice…

Continue Reading Colorado Lawmakers Advance Bill to Replace Colorado AI Act

This update highlights key legislative and regulatory developments in the first quarter of 2026 related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), and Internet of Things (“IoT”).

I. Federal AI Legislative Developments

In the first quarter, members of Congress introduced several AI bills related to nonconsensual images, chatbots, support for small businesses, and…

Continue Reading U.S. Tech Legislative & Regulatory Update – First Quarter 2026

U.S. state lawmakers have introduced more than 40 bills across at least 24 states to regulate personalized algorithmic pricing in 2026 thus far, already outpacing the number of personalized algorithmic pricing bills introduced in all of 2025.  While their definitions and scope vary, the 2026 bills broadly refer to “personalized algorithmic” or “dynamic” pricing as…

Continue Reading State Lawmakers Introduce New Wave of Personalized Algorithmic Pricing Bills