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FPF Training Program 2024 – FPF Faculty Page
[…] the development of the enterprise Responsible AI program, and worked across the private sector and with other stakeholders to shape policy and best practices for the responsible use of emerging technologies. Giovanni De Gregorio PLMJ Chair in Law and Technology Católica Global School of Law and Católica Lisbon School of Law Giovanni De Gregorio […]
Unlock the Power of NIST RMF in AI: Practical Insights from Real-World Applications
[…] lies in strategy, data analytics, and technology. Gerard Fogarty CTO Altruistic As Chief Technology Officer, Gerard leverages extensive expertise in deploying Large-Language Models for a variety of use cases and focused on effective data management and systems security driving innovation and efficiency across multiple sectors. He holds an M.Sc in Computer Science, where he […]
Unpack the Executive Order on AI: Federal Actions and Future Directions
[…] Order on AI: Federal Actions and Future Directions This course will review the Biden Administration’s October 2023 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (the “AI EO”), and provide updates and insights on implementation efforts across the government. The course will discuss emerging regulation and policy for […]
FPF Training Program 2024 – Fundamentals of AI & Machine Learning (Topic Page)
[…] to neural networks and reinforcement learning. How generative AI and Large Language Models (LLMs) are used and their implications. Understand the impact of data collection, labeling, and use on the performance of ML & AI systems. Appreciate the types of bias, harms, and the range of possibilities in AI systems for bias to occur. […]
FPF Training Program 2024 – Master the Digital Landscape (Topic Page)
[…] of Online Advertising course material, in Future of Privacy Forum’s Master the Digital Landscape: Strategies for Advanced Online Advertising, participants will explore novel ways to integrate the use of templates to define best practices for achieving greater alignment between Privacy and Business teams. This course is designed to: Dive deeper into the regulatory evolution […]
FPF Training Program 2024 – De-Identification (Topic Page)
[…] in adherence to current standards and regulations for the protection of personal data. Using a risk-based approach, the session will also cover re-identification methods for the secondary use of data that allows organizations to innovate without compromising privacy. Interested in this training topic or have questions? Offer this course or any of other data […]
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 […]
Connecting Experts to Make Privacy-Enhancing Tech and AI Work for Everyone
[…] bias, especially when it comes to AI decision-making systems; Greater clarity about how regulators apply data protection laws to information subjected to PETs safeguards could increase the use and effectiveness of Privacy Enhancing Tech; Analysis of existing PETs implementations can yield important insights into the opportunities and challenges of particular tech and approaches. Virtual […]
Reflections on California’s Age-Appropriate Design Code in Advance of Oral Arguments
[…] interpret these online protections. Age Assurance Technologies: Legislators have proposed the need for using technology to either infer or verify a user’s age before allowing them to use certain services, including in some states social media or adult content. You can read more about the knowledge standards of currently enacted laws in our blog […]
NEW FPF REPORT: Confidential Computing and Privacy: Policy Implications of Trusted Execution Environments
[…] 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 technologies: trusted execution environments and attestation services. The technology allows organizations […]