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[…] The passage of Arkansas COPPA 2.0 may signal an emerging trend towards a potentially more constitutionally resilient approach to protecting children and teens online. Unlike age-appropriate design codes or social media age verification mandates, which have faced significant First Amendment challenges, Arkansas COPPA 2.0 takes a more targeted approach focused on privacy and data […]

[…] (2.) The Commission will provide Guidelines on the AI definitions and the prohibited AI practices. By May 2025 : (1.) The AI Office will have to publish Code(s) of Practice for General Purpose AI models within nine months after the entry into f orce. If the AI Office does not deliver on the CoPs […]

[…] (2.) The Commission will provide Guidelines on the AI definitions and the prohibited AI practices. By May 2025 : (1.) The AI Office will have to publish Code(s) of Practice for General Purpose AI models within nine months after the entry into f orce. If the AI Office does not deliver on the CoPs […]

[…] 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 […]

[…] AI models (such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude), there are narrower, use-case specific models that are trained on highly specific forms of data: »computer code (e.g., Codex (OpenAI); 10 AlphaCode (DeepMind); 11 Project Wisdom (IBM)). 12 »chemistry data (e.g., ChemBERTa (University of Toronto); 13 Chemformer (AstraZeneca); 14 MoLFormer (IBM)); 15 »climate […]

[…] AI models (such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude), there are narrower, use-case specific models that are trained on highly specific forms of data: »computer code (e.g., Codex (OpenAI); 10 AlphaCode (DeepMind); 11 Project Wisdom (IBM)). 12 »chemistry data (e.g., ChemBERTa (University of Toronto); 13 Chemformer (AstraZeneca); 14 MoLFormer (IBM)); 15 »climate […]

[…] 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 […]

[…] AI models (such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude), there are narrower, use-case specific models that are trained on highly specific forms of data: »computer code (e.g., Codex (OpenAI); 10 AlphaCode (DeepMind); 11 Project Wisdom (IBM)). 12 »chemistry data (e.g., ChemBERTa (University of Toronto); 13 Chemformer (AstraZeneca); 14 MoLFormer (IBM)); 15 »climate […]