FPF Training Program 2024 – Fundamentals of AI & Machine Learning (Topic Page)
Fundamentals of ai & machine learning With the increasing awareness of AI, especially generative AI, machine learning and AI are presenting new challenges for data governance in companies ranging from online service providers to retail. Generative AI can be considered a category of artificial intelligence that “generate[s] new outputs based on the data they have […]
Repository for Privacy Enhancing Technologies (PETs)
FPF has long supported the use of technologies as well as research to help better understand what data protection and privacy opportunities and challenges they present. When used appropriately, privacy-enhancing technologies can mitigate individuals’ privacy risks while promoting fairness and enabling socially beneficial data use. Broad adoption of these technologies is only possible if they […]
FPF Comment_DOT AI RFI (1)
1 3 5 0 E ye S tr e et N W , S uit e 3 5 0, W ash in g to n, D C 2 0 005 | 2 0 2-7 6 8-8 9 50 | f p f.o rg J u ly 3 , 2 0 24 S en t v […]
Reflections on California’s Age-Appropriate Design Code in Advance of Oral Arguments
Co-authored with Isaiah Hinton, Policy Intern for the Youth and Education Team Update: On Wednesday, July 17th, the U.S. 9th Circuit Court of Appeals heard oral arguments for an appeal of the District Court’s preliminary injunction of the California Age-Appropriate Design Code Act (AADC). Judges Milan Smith Jr., Mark Bennett, and Anthony Johnstone appeared interested […]
NEW FPF REPORT: Confidential Computing and Privacy: Policy Implications of Trusted Execution Environments
Written by Judy Wang, FPF Communications Intern Today, the Future of Privacy Forum (FPF) published a paper on confidential computing, a privacy-enhancing technology (PET) that marks a significant shift in the trustworthiness and verifiability of data processing for the use cases it supports, including training and use of AI models. Confidential computing leverages two key […]
FPF Confidential Computing R3
J U LY 2 0 2 4 CONFIDENTIAL COMPUTING AND PRIVACY Policy Implications of Trusted Execution Environments The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. Learn more about FPF by visiting fpf.org. Samuel Adams […]
FPF EU AI Act Timeline July 24
Publication to the EU Official Journal & Entry into force of the AI Act which marks the 24 month countdown of activities towards full effect and enforcement . The Member States have to identify their Fundamental Rights authorities within three months after the entry into force. (Art. 77(2)) Scope and Definitions appl y, six months […]
FPF Comment_DOT AI RFI
1 3 5 0 E ye S tr e et N W , S uit e 3 5 0, W ash in g to n, D C 2 0 005 | 2 0 2-7 6 8-8 9 50 | f p f.o rg J u ly 3 , 2 0 24 S en t v […]
Comprehensive Privacy Anchors in the Ocean State
On June 25, 2024, Governor McKee transmitted without signature H 7787 and S 2500, the Rhode Island Data Transparency and Privacy Protection Act (RIDTPPA), making Rhode Island the nineteenth state overall and the seventh state in 2024 to enact a comprehensive privacy law. The law will take effect on January 1, 2026, and the majority […]
Generative AI for Organizational Use: Internal Policy Considerations
The Future of Privacy Forum (FPF) Center for Artificial Intelligence released a newly updated version of our Generative AI internal compliance document – Generative AI for Organizational Use: Internal Policy Considerations, with new content addressing organizations’ ongoing responsibilities, specific concerns (e.g., high-risk uses), and lessons taken from recent regulatory enforcement related to these technologies. In 2023, […]