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🇪🇺European Parliament Switches Off AI on Official Devices The European Parliament has disabled AI features on work devices used by lawmakers and their staff following cybersecurity and privacy concerns, according to an internal email reviewed by Politico. After an internal review, the Parliament’s IT department concluded it could not guarantee device security if AI functionalities remained active. This decision signals a governance posture where institutional risk tolerance is being recalibrated faster than AI deployment norms. By prioritizing control over convenience, the Parliament is effectively treating embedded AI not as a neutral productivity layer but as a potential attack surface with systemic implications for confidentiality and data protection. #AIRegulation#Cybersecurity#Privacy#PublicSectorAI#AIGovernance

🇺🇸California Moves to Tighten AI Standards in State Procurement California Governor Gavin Newsom signed an executive order to strengthen requirements for AI companies seeking to work with the state. The order directs the development of stricter procurement standards, requiring vendors to demonstrate responsible AI policies and meet privacy and security benchmarks to prevent misuse of their technologies. The initiative contrasts with recent federal actions rolling back AI-related protections. It also expands the state’s use of generative AI in public services, including tools designed to help residents navigate government programs and benefits based on life events such as employment or starting a business. #AIRegulation#USpolicy#AIethics#PublicSectorAI#DataProtection

🇬🇧UK Government’s AI Playbook: A Roadmap for Safe AI Adoption The UK Government has introduced an AI Playbook to help public sector organizations navigate the complexities of AI adoption. This guide provides technical and governance frameworks to ensure AI is deployed effectively, securely, and in compliance with ethical and legal standards. It emphasizes the importance of AI literacy among civil servants, covering both the benefits and risks, from privacy concerns to security vulnerabilities. Key takeaways include: ✔️building an AI support structure, such as governance boards, adoption strategies, and training programs; ✔️ secure deployment practices, which categorize AI use cases — from public AI tools (ChatGPT, Claude) to privately hosted models and fine-tuned AI applications. This structured approach aims to balance innovation with accountability, ensuring AI serves the public interest. 🔹#AIRegulation#AIGovernance#UKGov#PublicSectorAI#ResponsibleAI