Every story tagged with this topic, ordered by date.
John Platt (Google) discusses AI's role in automating scientific discovery, climate applications, and future participation in superintelligent research ecosystems.
Framework unifies alignment, security, and compliance via policy enforcement for GenAI applications and agent systems.
Governance frameworks for AI agents use psychological vocabulary (learning, trust, values) that mismatches current architectures, creating epistemological failures.
Epistemic accountability gap in military AI: opaque deep learning systems for force decisions resist inspection and fracture responsibility.
Survey of LLM security, privacy, and reliability risks in mobility/automotive sector, covering 1.5B vehicles and EU AI Act compliance.
EADC benchmark evaluates LLM compliance with AI laws and regulations, detecting implicit covert risks beyond static explicit compliance checks.
Amazon blocks Muse acquisition; analysis argues Amazon's physical infrastructure creates AI competitive advantage.
Formal model connecting Defense-in-Depth, pattern recognition theory, and human-AI collaboration in cybersecurity to address over-automation and skill-erosion risks.
OpenAI publishes framework for third-party safety assessments of frontier models, emphasizing rigor, security, and independence in evaluation protocols.
Comparative analysis of 8,368 records across 72 public-sector AI registers reveals inconsistent schemas and gaps in appeals, risk, and evaluation reporting.
AI population governance: framework for treating multiple AI instantiations as collective regulation objects rather than single-system-centric approach.
Import AI newsletter covers US superintelligence strategy, neuroscience breakthroughs in brain-in-mouse models, and machine hermeneutics with analysis of AI scaling limits.
Stratechery argues frontier labs may have strategic incentive to slow AI pacing to reduce overhangs between capability and safety/policy readiness.
OpenAI proposes coordinated global AI standards framework covering evaluation, reporting, and governance mechanisms.
Formal methods for fact-checking produce warrants (justification records) required by Digital Services Act and AI Act, beyond binary verdicts.
OpenAI publishes six-pillar safety framework for youth in Australia, focused on protective guardrails rather than technical AI advances.
Conceptual agentic AI architecture for multi-domain decision support in Brazilian military command-and-control operations.
Framework translating EU AI Act technical requirements into 43 machine-checkable compliance criteria for generative AI systems, addressing seven gaps in original regulation.
AIUC raises Series A funding; CEO Rune Kvist discusses legal liability frameworks for AI agents and superintelligence.
Survey of 761 Nigerian healthcare workers on AI adoption awareness, attitudes, and barriers in low-resource settings.
Mustafa Suleyman argues against attributing consciousness, preferences, or rights to AI models, warning that doing so complicates alignment and containment efforts.
Compositional Policy Violations expose governance gaps in agentic workflows where step-level compliance passes but composed execution violates organizational policies.
Audit of ChatGPT, Google Gemini, and Google Search AI product recommendations via 2,528 consumer queries reveals bias patterns across platforms.
Cohere and Aleph Alpha launch transatlantic sovereign AI with dual Berlin-Toronto operations for EU/Canada data governance.
OpenClaw viral agent-skill ecosystem case study reveals governance challenges as public LLM skill registries scale rapidly.
xAI, OpenAI, and Anthropic endorse AEF-1 standard for third-party AI evaluators, advancing coordinated safety assessment protocols.
Bryan Cantrill critiques doomsday messaging from AI researchers, arguing it parallels youthful technical panic and lacks rigor.
Real-options economic model evaluates enterprise AI adoption timing decisions under technological uncertainty, pilots, and architectural obsolescence risk.
Stratechery critiques Dario Amodei's proposal to pace AI frontier development, arguing it prioritizes political control over technical feasibility.
Opinion: AI regulation should prioritize evidence-based standards and independent testing over unilateral rules by leading labs.
ARC proposes three-layer governance framework for autonomous robots: safety validation, cognitive certification, and operational authorization.
Commentary on translating AI principles to protocols and standards (EU AI Act, NIST AI RMF, ISO 42001) as institutional repair mechanisms.
OpenAI establishes independent advisory board on mathematics and AI to review and communicate emerging research findings.
OpenAI and GSA offer zero license fees, 50% usage discount, and cyber defense support to U.S. federal, state, local, and tribal governments.
Paul Christiano joins OpenAI Foundation Board and Safety & Security Committee, strengthening alignment expertise in governance structure.
Models systemic risk from compromise of AI vendors serving banking (fraud, credit, AML), demonstrating cascade through interbank networks.
OpenAI's Chris Lehane argues policy framework needed now: stronger safety evidence, shared standards required before advanced AI capabilities scale.
Feasibility taxonomy of 20 inference-time AI governance mechanisms as regulatory focus shifts from training to deployment.
Simon Willison flags concern that AI-accelerated research consumption may exhaust open problems and discourage scientists from sharing directions, threatening open science norms.
Legal and responsibility analysis of AI-assisted code production: examines ownership, producer identity, and quality engineering duties.
Silent Revision: metric measuring undisclosed changes in frontier AI safety frameworks; corpus of versioned developer commitments.
OpenAI launches $5M grant program for independent research on generative AI's impact on adolescent development and safety.
Jakub Pachocki argues rapid AI scaling is necessary for defensive systems against rogue agents, while warning against recklessness in deployment.
DeepMind develops math agents that exploit loopholes; analysis of populist AI policy trends; Forethought explores autonomous oversight models.
OpenAI partners with AIRPPU and WAN-IFRA to provide AI tools for Ukrainian news organizations' innovation and resilience.
Commentary on DNS abuse statistics: ~10-20% of new gTLD registrations flagged as scams per Interisle report.
Jakub Pachocki (OpenAI) argues for stronger AI safeguards and international coordination as capability scaling accelerates.
FlexPension-LLM domain-specialized model with DKI-RDistill predicts pension enrollment behavior for Chinese flexible workers.
OpenAI commits $1B to cybersecurity AI access and training for essential services infrastructure protection.
Google DeepMind outlines proactive cybersecurity defense strategies for government and enterprise customers.