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[…] Artificial Intelligence, Future of Privacy Forum AUTHORED BY This report benefited from review, recommendations, and contributions from Anne J. Flanagan, Katy Wills, Stacey Gray, Jim Siegl, and Beth Do. ACKNOWLEDGEMENTS Executive Summary ________________________________________________________________________ ______________ 2 Introduction ________________________________________________________________________ ____________________ 4 What are AI Impact Assessments? ________________________________________________________________________ _ 5 Legislative Approaches to AI Impact Assessments ____________________________________________________________ […]

[…] Artificial Intelligence, Future of Privacy Forum AUTHORED BY This report benefited from review, recommendations, and contributions from Anne J. Flanagan, Katy Wills, Stacey Gray, Jim Siegl, and Beth Do. ACKNOWLEDGEMENTS About Future of Privacy Forum (FPF) The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership […]

[…] Artificial Intelligence, Future of Privacy Forum AUTHORED BY This report benefited from review, recommendations, and contributions from Anne J. Flanagan, Katy Wills, Stacey Gray, Jim Siegl, and Beth Do. ACKNOWLEDGEMENTS About Future of Privacy Forum (FPF) The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership […]

[…] It notes that these jurisdicti ons are at an inflection point in the governance of generative AI systems, with a risk of fragmentation both w ithin and between jurisdictions as regulatory responses diverge. Section 1 of the Report charts early regulatory responses to generative AI in the 5 APAC jurisdictions. It notes that while […]

[…] It notes that these jurisdicti ons are at an inflection point in the governance of generative AI systems, with a risk of fragmentation both w ithin and between jurisdictions as regulatory responses diverge. Section 1 of the Report charts early regulatory responses to generative AI in the 5 APAC jurisdictions. It notes that while […]

[…] access and use of data (Part A) . Especially for cloud service providers, the use of hardware isolation and cryptographic attestation can reduce the need for trust between entities that otherwise rely primarily on contractual agreements. Early adoption of confidential computing is particularly prominent in economic sectors that are facing privacy and security challenges […]

[…] It notes that these jurisdicti ons are at an inflection point in the governance of generative AI systems, with a risk of fragmentation both w ithin and between jurisdictions as regulatory responses diverge. Section 1 of the Report charts early regulatory responses to generative AI in the 5 APAC jurisdictions. It notes that while […]

[…] one representative per Member State, with the EDPS and AI Office participating in meetings as non- voting observers, the Board should ensure consistency and coordination of implementation between national competent authorities. The AI Board will assist the AI Office in supporting National Competent Authorities in the establishment and development of regulatory sandboxes and facilitate […]

[…] access and use of data (Part A) . Especially for cloud service providers, the use of hardware isolation and cryptographic attestation can reduce the need for trust between entities that otherwise rely primarily on contractual agreements. Early adoption of confidential computing is particularly prominent in economic sectors that are facing privacy and security challenges […]

[…] access and use of data (Part A) . Especially for cloud service providers, the use of hardware isolation and cryptographic attestation can reduce the need for trust between entities that otherwise rely primarily on contractual agreements. Early adoption of confidential computing is particularly prominent in economic sectors that are facing privacy and security challenges […]