The FPF Center for Artificial Intelligence: Navigating AI Policy, Regulation, and Governance
The rapid deployment of Artificial Intelligence for consumer, enterprise, and government uses has created challenges for policymakers, compliance experts, and regulators. AI policy stakeholders are seeking sophisticated, practical policy information and analysis.
This is where the FPF Center for Artificial Intelligence comes in, expanding FPF’s role as the leading pragmatic and trusted voice for those who seek impartial, practical analysis of the latest challenges for AI-related regulation, compliance, and ethical use.
At the FPF Center for Artificial Intelligence, we help policymakers and privacy experts at organizations, civil society, and academics navigate AI policy and governance. The Center is supported by a Leadership Council of experts from around the globe. The Council consists of members from industry, academia, civil society, and current and former policymakers.
FPF has a long history of AI-related and emerging technology policy work that has focused on data, privacy, and the responsible use of technology to mitigate harms. From FPF’s presentation to global privacy regulators about emerging AI technologies and risks in 2017 to our briefing for US Congressional members detailing the risks and mitigation strategies for AI-powered workplace tech in 2023, FPF has helped policymakers around the world better understand AI risks and opportunities while equipping data, privacy and AI experts with the information they need to develop and deploy AI responsibly in their organizations.
In 2024, FPF received a grant from the National Science Foundation (NSF) to advance the Whitehouse Executive Order in Artificial Intelligence to support the use of Privacy Enhancing Technologies (PETs) by government agencies and the private sector by advancing legal certainty, standardization, and equitable uses. FPF is also a member of the U.S. AI Safety Institute at the National Institute for Standards and Technology (NIST) where it focuses on assessing the policy implications of the changing nature of artificial intelligence.
Areas of work within the FPF Center for Artificial Intelligence include:
- Legislative Comparison
- Responsible AI Governance
- AI Policy by Sector
- AI Assessments & Analyses
- Novel AI Policy Issues
- AI and Privacy Enhancing Technologies
FPF’s new Center for Artificial Intelligence will be supported by a Leadership Council of leading experts from around the globe. The Council will consist of members from industry, academia, civil society, and current and former policymakers.
FPF Center for AI Leadership Council
The FPF Center for Artificial Intelligence will be supported by a Leadership Council of leading experts from around the globe. The Council will consist of members from industry, academia, civil society, and current and former policymakers.
We are delighted to announce the founding Leadership Council members:
- Estela Aranha, Member of the United Nations High-level Advisory Body on AI; Former State Secretary for Digital Rights, Ministry of Justice and Public Security, Federal Government of Brazil
- Jocelyn Aqua, Principal, Data, Risk, Privacy and AI Governance, PricewaterhouseCoopers LLP
- John Bailey, Nonresident Senior Fellow, American Enterprise Institute
- Lori Baker, Vice President, Data Protection & Regulatory Compliance, Dubai International Financial Centre Authority (DPA)
- Cari Benn, Assistant Chief Privacy Officer, Microsoft Corporation
- Andrew Bloom, Vice President & Chief Privacy Officer, McGraw Hill
- Kate Charlet, Head of Global Privacy, Safety, and Security Policy, Google
- Prof. Simon Chesterman, David Marshall Professor of Law & Vice Provost, National University of Singapore; Principal Researcher, Office of the UNSG’s Envoy on Technology, High-Level Advisory Body on AI
- Barbara Cosgrove, Vice President, Chief Privacy Officer, Workday
- Jo Ann Davaris, Vice President, Global Privacy, Booking Holdings Inc.
- Elizabeth Denham, Chief Policy Strategist, Information Accountability Foundation, Former UK ICO Commissioner and British Columbia Privacy Commissioner
- Lydia F. de la Torre, Senior Lecturer at University of California, Davis; Founder, Golden Data Law, PBC; Former California Privacy Protection Agency Board Member
- Leigh Feldman, SVP, Chief Privacy Officer, Visa Inc.
- Lindsey Finch, Executive Vice President, Global Privacy & Product Legal, Salesforce
- Harvey Jang, Vice President, Chief Privacy Officer, Cisco Systems, Inc.
- Lisa Kohn, Director of Public Policy, Amazon
- Emerald de Leeuw-Goggin, Global Head of AI Governance & Privacy, Logitech
- Caroline Louveaux, Chief Privacy Officer, MasterCard
- Ewa Luger, Professor of human-data interaction, University of Edinburgh; Co-Director, Bridging Responsible AI Divides (BRAID)
- Dr. Gianclaudio Malgieri, Associate Professor of Law & Technology at eLaw, University of Leiden
- State Senator James Maroney, Connecticut
- Christina Montgomery, Chief Privacy & Trust Officer, AI Ethics Board Chair, IBM
- Carolyn Pfeiffer, Senior Director, Privacy, AI & Ethics and DSSPE Operations, Johnson & Johnson Innovative Medicine
- Ben Rossen, Associate General Counsel, AI Policy & Regulation, OpenAI
- Crystal Rugege, Managing Director, Centre for the Fourth Industrial Revolution Rwanda
- Guido Scorza, Member, The Italian Data Protection Authority
- Nubiaa Shabaka, Global Chief Privacy Officer and Chief Cyber Legal Officer, Adobe, Inc.
- Rob Sherman, Vice President and Deputy Chief Privacy Officer for Policy, Meta
- Dr. Anna Zeiter, Vice President & Chief Privacy Officer, Privacy, Data & AI Responsibility, eBay
- Yeong Zee Kin, Chief Executive of Singapore Academy of Law and former Assistant Chief Executive (Data Innovation and Protection Group), Infocomm Media Development Authority of Singapore
For more information on the FPF Center for AI email [email protected]
FPF Launches Effort to Advance Privacy-Enhancing Technologies in Support of AI Executive Order, Convenes Experts, and Meets With White House
FPF’s Research Coordination Network will support developing and deploying Privacy-Enhancing Technologies (PETs) for socially beneficial data sharing and analytics. JULY 9, 2024 — Today, the Future of Privacy Forum (FPF) is launching the Privacy-Enhancing Technologies (PETs) Research Coordination Network (RCN) with a virtual convening of diverse experts alongside a high-level, in-person workshop with key stakeholders […]
AI Forward: FPF’s Annual DC Privacy Forum Explores Intersection of Privacy and AI
The Future of Privacy Forum (FPF) hosted its inaugural DC Privacy Forum: AI Forward on Wednesday, June 5th. Industry experts, policymakers, civil society, and academics explored the intersection of data, privacy, and AI. In Washington, DC’s southwest Waterfront at the InterContinental, participants joined in person for a full-day program consisting of keynote panels, AI talks, […]
FPF Awarded NSF and DOE Grants to Advance White House Executive Order on Artificial Intelligence
The Future of Privacy Forum (FPF) has been awarded grants by the National Science Foundation (NSF) and the Department of Energy (DOE) to support FPF’s establishment of a Research Coordination Network (RCN) for Privacy-Preserving Data and Analytics. FPF’s work will support the development and deployment of Privacy Enhancing Technologies (PETs) for socially beneficial data sharing […]
Overcoming Hurdles to Effective Data Sharing for Researchers
In 2021, challenges faced by academics in accessing corporate data sets for research and the issues that companies were experiencing to make privacy-respecting research data available broke into the news. With its long history of research data sharing, FPF saw an opportunity to bring together leaders from the corporate, research, and policy communities for a conversation […]
Organizations must lead with privacy and ethics when researching and implementing neurotechnology: FPF and IBM Live event and report release
A New FPF and IBM Report and Live Event Explores Questions About Transparency, Consent, Security, and Accuracy of Data The Future of Privacy Forum (FPF) and the IBM Policy Lab released recommendations for promoting privacy and mitigating risks associated with neurotechnology, specifically with brain-computer interface (BCI). The new report provides developers and policymakers with actionable […]
Data Sharing … By Any Other Name
There are many different uses of the term “data sharing” to describe a relationship between parties who share data from one organization to another organization for a new purpose. Some uses of the term data sharing are related to academic and scientific research purposes, and some are related to transfer of data for commercial or government purposes. ..it is imperative that we are more precise which forms of sharing we are referencing so that the interests of the parties are adequately considered, and the various risks and benefits are appropriately contextualized and managed.
Five Things Lawyers Need to Know About AI
Lawyers are trained to respond to risks that threaten the market position or operating capital of their clients. However, when it comes to AI, it can be difficult for lawyers to provide the best guidance without some basic technical knowledge. This article shares some key insights from our shared experiences to help lawyers feel more at ease responding to AI questions when they arise.
Brain-Computer Interfaces: Privacy and Ethical Considerations for the Connected Mind
BCIs are computer-based systems that directly record, process, analyze, or modulate human brain activity in the form of neurodata that is then translated into an output command from human to machine. Neurodata is data generated by the nervous system, composed of the electrical activities between neurons or proxies of this activity. When neurodata is linked, or reasonably linkable, to an individual, it is personal neurodata.
Automated Decision-Making Systems: Considerations for State Policymakers
In legislatures across the United States, state lawmakers are introducing proposals to govern the uses of automated decision-making systems (ADS) in record numbers. In contrast to comprehensive privacy bills that would regulate collection and use of personal information, automated decision-making system (ADS) bills in 2021 specifically seek to address increasing concerns about racial bias or […]
A Look Back at the Role of Law and the Right To Privacy in LGBTQ+ History
By Katelyn Ringrose, Christopher Wolf Diversity Law Fellow at the Future of Privacy Forum, and Christopher Wood, Executive Director of LGBT Tech, with thanks to Connor Colson, FPF Policy Intern. LGBTQ+ rights are, and have always been, linked with privacy. Over the years, privacy-invasive laws, practices, and norms have been used to oppress LGBTQ+ individuals […]