AI Policy
Vulnerabilities in MCP allow malicious prompts to spread between AI agents
Trust gaps in the Model Context Protocol (MCP) allow malicious prompts to spread between AI agents, potentially exposing sensitive internal data.
Sam Altman Says World Must Accept ‘Bad Things’ From AI for the Sake of Progress
OpenAI’s CEO argues that “bounded risks” like scams and hacks are a necessary trade-off for AI's benefits as the industry signs a voluntary safety pact.
AI in the Workplace: New Draft Law Sets Boundaries for Algorithmic Management
Greece's new framework for platform workers introduces human oversight, bans sensitive data processing, and mandates consultations before deploying algorithmic systems.
Norway Proposes Temporary Ban on AI Smart Glasses in Public Areas
The Norwegian government is introducing a bill to restrict AI-enabled eyewear in sensitive public locations, citing privacy concerns and unauthorized data capture.
Known Vulnerabilities, New Scale: The Changing Physics of Cyber Threats
The Microsoft Digital Defense Report 2026 highlights how AI is accelerating attack timelines to under 24 hours, creating a significant new asymmetry in cybersecurity.
The Architect’s Dilemma: Between Self-Governance and State Oversight in the Age of Super Intelligence
An analysis of the new 'Super Intelligence Force' and the debate between voluntary industry accords and the historical model of self-regulatory organizations.
Bessent Likens AI CEOs to Hannibal Lecter: “Stop Me Before I Kill Again”
US Treasury Secretary Scott Bessent criticizes AI leaders for seeking state regulation, dismissing alarmism without concrete solutions as a failure of leadership.
Trump names national intelligence director Jay Clayton to lead new ‘Super Intelligence Force’ on AI
President Trump has appointed Jay Clayton to lead the 'Super Intelligence Force,' a task force designed to coordinate federal AI efforts and maintain American global leadership.
FDR’s Lesson for AI Regulation
Franklin D. Roosevelt’s historic approach to financial markets offers a self-regulatory model that could protect innovation while ensuring safety in the AI sector.
US: Jay Clayton Appointed AI 'Tsar' – Task Force to Address Risks and Opportunities
The 'Super Intelligence Force' has 120 days to propose strategies for maintaining the US lead over China while avoiding excessive regulation of AI technology.
The Rise of the AI Tsar: Governance, Geopolitics, and the Self-Regulation Dilemma
An analysis of Jay Clayton’s appointment as AI Tsar and the 'Super Intelligence Force' mandate to balance US leadership with minimal regulation.
WSJ: Jay Clayton Appointed AI Tsar by Trump to Lead 'Super Intelligence Force'
Donald Trump has appointed DNI Jay Clayton to lead a new AI task force, aiming to secure American dominance while stripping away restrictive regulations.