FPF Training Program 2024 – FAQs
fpf training program faqs The Future of Privacy Forum (FPF) brings the public training sessions on a variety of topics in AdTech, AI & Machine Learning, Data Privacy, and more – all led by industry experts. Please view our most commonly-asked questions so you are prepared and know the details and policies of our program […]
U.S. Legislative Trends in AI-Generated Content: 2024 and Beyond
Standing in front of the U.S. flag and dressed as Uncle Sam, Taylor Swift proudly proclaims that you should vote for Joe Biden for President. She then wants you to vote for Donald Trump in a nearly identical image circulated by former President Trump himself. Both the images, and the purported sentiments, are fabricated, the […]
Privacy Enhancing Technology in Education: The State of Play
The Future of Privacy Forum, in partnership with AEM Corporation, is pleased to invite you to our webinar surrounding privacy enhancing technologies (PETs) in education. In this webinar, we take a deeper look at the state of PETs within and across education agencies and institutions. We will: Join us in exploring these evolving technologies and […]
Processing of Personal Data for AI Training in Brazil: Takeaways from ANPD’s Preliminary Decisions in the Meta Case
Data Protection Authorities (DPAs) across the globe are currently wrestling with fundamental questions raised by the emergence of generative AI and its compatibility with data protection laws. A key issue is under which legal basis companies might be able to process personal data for training AI models. Another one is how the rights of individuals […]
Do LLMs Contain Personal Information? California AB 1008 Highlights Evolving, Complex Techno-Legal Debate
By Jordan Francis, Beth Do, and Stacey Gray, with thanks to Dr. Rob van Eijk and Dr. Gabriela Zanfir-Fortuna for their contributions. California Governor Gavin Newsom signed Assembly Bill (AB) 1008 into law on September 28, amending the definition of “personal information” under the California Consumer Privacy Act (CCPA) to provide that personal information can […]
Multistate AI Policymaker Working Group
The Multistate AI Policymaker Working Group (MAP-WG) is a bipartisan assembly of over 200 state lawmakers from more than 45 states, brought together by the Future of Privacy Forum. The Group’s primary aim is to foster a shared understanding of emerging technologies and related policy issues. FPF convenes and provides an administrative platform for the […]
Synthetic Content: Exploring the Risks, Technical Approaches, and Regulatory Responses
Today, the Future of Privacy Forum (FPF) released a new report, Synthetic Content: Exploring the Risks, Technical Approaches, and Regulatory Responses, which analyzes the various approaches being pursued to address the risks associated with “synthetic” content – material produced by generative artificial intelligence (AI) tools. As more people use generative AI to create synthetic content, […]
Out, Not Outed: Privacy for Sexual Health, Orientations, and Gender Identities
Co-authored by: Judy Wang (FPF Intern), Jeter Sison (FPF Intern), Jordan Wrigley (FPF Data and Policy Analyst, Health & Wellness) On National Coming Out Day, it’s important to recognize that Coming Out is a right of passage for many LGBTQ+ individuals and a decision that they should be empowered to make for themselves. Protections for […]
Global Communications Manager
Reports to: Communications Director Location: Strong preference for candidates located in Washington, DC or Brussels. Candidates must have the right to work in the country where they are based. Salary Range: Manager $63,569 – $95,353 The Future of Privacy Forum (FPF), a dynamic global nonprofit organization that serves as a catalyst for privacy scholarship and advancing […]
FPF Submits Comments to Inform New York Children’s Privacy Rulemaking Processes
At the end of the 2024 legislative session, New York State passed a pair of bills aimed at creating heightened protections for children and teens online. One, the New York Child Data Protection Act (NYCDPA), applies to a broad range of online services that are “primarily directed to children.” The NYCDPA creates novel substantive data […]