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Jennifer King | Stanford HAI

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peoplePolicy Fellow

Jennifer King

Privacy and Data Policy Fellow, Stanford HAI

Jennifer King

Dr. Jennifer King is the Privacy and Data Policy Fellow at the Stanford University Institute for Human-Centered Artificial Intelligence. An information scientist by training, Dr. King is a recognized expert in information privacy. Sitting at the intersection of human-computer interaction, law and policy, and the social sciences, her research examines the public’s understanding and expectations of online privacy, the social impacts of technology design, and the policy implications of emerging technologies. Her current areas of research focus include AI and data policy, the use of consumer data for AI model training, regulating digital design, data broker compliance with the California Consumer Privacy Act, and manipulative algorithmic and interface design.

Her past work includes projects focusing on digital consent,  genetic privacy, mobile application platforms, location privacy, and digital surveillance. Her scholarship has been recognized for its impact on policymaking by the Future of Privacy Forum, and she has been an invited speaker before the Federal Trade Commission and has testified before the U.S. Congress. In 2024 UC Berkeley awarded her their inaugural Tech Integrity Award for excellence in academic research. 

Dr. King completed her doctorate and master’s degrees in Information Management and Systems at the University of California, Berkeley School of Information. Prior to joining HAI, Dr. King was the Director of Consumer Privacy at the Center for Internet and Society at Stanford Law school from 2018 to 2020. Before coming to Stanford, she was a co-director of the Center for Technology, Society, and Policy, a graduate student-led research center at UC Berkeley, and was a privacy researcher at the Samuelson Law, Technology, and Public Policy Clinic at Berkeley Law. She received her undergraduate degree in Political Science and Sociology from the University of California, Irvine. Prior to entering academia she worked in security and in product management for several Internet companies, most notably Yahoo!.

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Latest Related to Jennifer King

testimony

Jen King's Testimony Before the U.S. House Committee on Energy and Commerce Oversight and Investigations Subcommittee

Jennifer King
Privacy, Safety, SecurityQuick ReadNov 18

In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Oversights and Investigations hearing titled “Innovation with Integrity: Examining the Risks and Benefits of AI Chatbots,” Jen King shares insights on data privacy concerns connected with the use of chatbots. She highlights opportunities for congressional action to protect chatbot users from related harms.

media mention
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Why You Can (And Should) Opt Out Of TSA Facial Recognition Right Now

HuffPost
Law Enforcement and JusticePrivacy, Safety, SecurityNov 06

Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.

media mention
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23andMe Clients Navigate Uncertain Future Two Years After Breach

Bloomberg Law
Law Enforcement and JusticeRegulation, Policy, GovernanceOct 17

"The biggest difference between 23andMe and other breaches is that sequenced DNA is 'irreplaceable and immutable,' said Jennifer King," a Stanford HAI Policy Fellow.

All Related

Inside Trump’s Ambitious AI Action Plan
Caroline Meinhardt, Daniel Zhang, Jennifer King, Andy Haupt, Elena Cryst
Jul 24, 2025
news
Donald Trump

The White House favors market-driven growth and light governance, signaling a departure from the previous administration.

Inside Trump’s Ambitious AI Action Plan

Caroline Meinhardt, Daniel Zhang, Jennifer King, Andy Haupt, Elena Cryst
Jul 24, 2025

The White House favors market-driven growth and light governance, signaling a departure from the previous administration.

Regulation, Policy, Governance
Donald Trump
news
Struggling DNA Testing Firm 23andMe To Be Bought For $256m
BBC
May 19, 2025
media mention

Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.

Struggling DNA Testing Firm 23andMe To Be Bought For $256m

BBC
May 19, 2025

Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.

Privacy, Safety, Security
media mention
23andMe’s DNA Database Is Up For Sale. Who Might Want It, And What For?
Washington Post
Mar 25, 2025
media mention

After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.

23andMe’s DNA Database Is Up For Sale. Who Might Want It, And What For?

Washington Post
Mar 25, 2025

After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.

Privacy, Safety, Security
Industry, Innovation
Ethics, Equity, Inclusion
media mention
Response to OSTP’s Request for Information on the Development of an AI Action Plan
Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025
response to request

Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.

Response to OSTP’s Request for Information on the Development of an AI Action Plan

Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025

Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.

Regulation, Policy, Governance
response to request
Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World
Jennifer King, Caroline Meinhardt
Deep DiveFeb 22, 2024
whitepaper

This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.

Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World

Jennifer King, Caroline Meinhardt
Deep DiveFeb 22, 2024

This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.

Privacy, Safety, Security
Regulation, Policy, Governance
whitepaper
The Privacy-Bias Trade-Off
Arushi Gupta, Victor Y. Wu, Helen Webley-Brown, Jennifer King, Daniel E. Ho
Quick ReadOct 19, 2023
policy brief

This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.

The Privacy-Bias Trade-Off

Arushi Gupta, Victor Y. Wu, Helen Webley-Brown, Jennifer King, Daniel E. Ho
Quick ReadOct 19, 2023

This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.

Privacy, Safety, Security
Regulation, Policy, Governance
policy brief
Responses to NTIA's Request for Comment on AI Accountability Policy
Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, Percy Liang, Jennifer King
Jun 14, 2023
response to request

Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).

Responses to NTIA's Request for Comment on AI Accountability Policy

Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, Percy Liang, Jennifer King
Jun 14, 2023

Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).

Foundation Models
Privacy, Safety, Security
Regulation, Policy, Governance
response to request
Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security
Jennifer King, Caroline Meinhardt, Abel Ribbink, Pete Warden, Daniel Zhang, James Zou
Nov 21, 2022
response to request

Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.

Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security

Jennifer King, Caroline Meinhardt, Abel Ribbink, Pete Warden, Daniel Zhang, James Zou
Nov 21, 2022

Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.

Privacy, Safety, Security
Regulation, Policy, Governance
response to request
Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan
Daniel E. Ho, Jennifer King, Russell Wald, Daniel Zhang
Mar 09, 2022
response to request

Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.

Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan

Daniel E. Ho, Jennifer King, Russell Wald, Daniel Zhang
Mar 09, 2022

Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.

Regulation, Policy, Governance
response to request
Advancing the Case for Data Intermediaries
Jennifer King
PhD
Feb 16, 2022
news

A new report from the World Economic Forum calls for third-party data protection. This approach would respect individual rights and benefit companies and society.

Advancing the Case for Data Intermediaries

Jennifer King
PhD
Feb 16, 2022

A new report from the World Economic Forum calls for third-party data protection. This approach would respect individual rights and benefit companies and society.

news
Building a National AI Research Resource: A Blueprint for the National Research Cloud
Daniel E. Ho, Jennifer King, Russell Wald, Christopher Wan
Deep DiveOct 01, 2021
whitepaper

This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.

Building a National AI Research Resource: A Blueprint for the National Research Cloud

Daniel E. Ho, Jennifer King, Russell Wald, Christopher Wan
Deep DiveOct 01, 2021

This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.

Government, Public Administration
Regulation, Policy, Governance
Privacy, Safety, Security
whitepaper