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[…] approach differs in its simplified risk categorization, including absence of prohibited AI practices, comparatively lower financial penalties, and the establishment of initiatives and government bodies aimed at promoting the development and use of AI technologies. The intent of this comparison is to assist practitioners in understanding and analyzing key commonalities and differences between both […]

[…] the AI Pact were signed by over 130 stakeholders on 26 September 2024 . By February 2025 : (1.) The AI Board should support the Commission to promote AI literacy tools. Providers and deployers of AI systems sha ll take measures to ensure a sufficient level of AI literacy of users. (2.) The Commission […]

[…] the AI Pact were signed by over 130 stakeholders on 26 September 2024 . By February 2025 : (1.) The AI Board should support the Commission to promote AI literacy tools. Providers and deployers of AI systems sha ll take measures to ensure a sufficient level of AI literacy of users. (2.) The Commission […]

[…] as well as clarity around their implementation requirements will continue to emerge. One example of this at the time of writing is the EU process on the Code of Practice for the AI Act, which is under multistakeholder consideration until early 2025. 15 In conducting the following report, FPF’s research concludes that organizations appear […]

[…] as well as clarity around their implementation requirements will continue to emerge. One example of this at the time of writing is the EU process on the Code of Practice for the AI Act, which is under multistakeholder consideration until early 2025. 15 In conducting the following report, FPF’s research concludes that organizations appear […]

[…] as well as clarity around their implementation requirements will continue to emerge. One example of this at the time of writing is the EU process on the Code of Practice for the AI Act, which is under multistakeholder consideration until early 2025. 15 In conducting the following report, FPF’s research concludes that organizations appear […]

[…] regulatory fragmentation across the region. This may include ensuring alignment and interoperability with in ternational policy frameworks, providing guidance on applying existing laws to generative AI, and promoting cross-regulator coordinatio n. Amongst the key takeaways for developers and deployers of generative AI are that robust internal AI governance structures, data management practices, privacy protection […]

[…] regulatory fragmentation across the region. This may include ensuring alignment and interoperability with in ternational policy frameworks, providing guidance on applying existing laws to generative AI, and promoting cross-regulator coordinatio n. Amongst the key takeaways for developers and deployers of generative AI are that robust internal AI governance structures, data management practices, privacy protection […]

[…] attested Trusted Execution Environment.” Information Commissioner’s Office (ICO) “A trusted execution environment (TEE) is a secure area inside a computing device’s central processing unit (CPU). It runs code and accesses information i n a way that is isolated from the rest of the system.” Table 1: Comparison of leading descriptions of confidential computing. Confid […]

[…] regulatory fragmentation across the region. This may include ensuring alignment and interoperability with in ternational policy frameworks, providing guidance on applying existing laws to generative AI, and promoting cross-regulator coordinatio n. Amongst the key takeaways for developers and deployers of generative AI are that robust internal AI governance structures, data management practices, privacy protection […]