AI Safety
Explainer
The Definitional Difference: AI Interpretability vs. Explainability (XAI) and the Evidence on Their Effectiveness for Safety
4 sources · 5d ago
Automated Alignment
Anthropic AI Agents Outperform Human Researchers in Mitigating Ten Alignment Failures
3 sources · 9d ago
Enterprise AI
OpenAI Unveils 'Private Safety Processing' to Catch AI Misuse Without Violating Zero Data Retention
8 sources · 13d ago
More in AI Safety
AI Vulnerability DiscoveryDefense Strategy
Autonomous AI System Finds 14,090 Vulnerabilities in Two Months, Forcing a Shift in Cyber Defense
Network Security Vendors 40%AI Developers 30%Traditional Patch Managers 30%
7 sources · 17d ago
AI GovernancePolicy Proposal
White House Reviews Proposal for FINRA-Style Self-Regulatory Body for Frontier AI
Self-Regulation Advocates 40%Federal Oversight Proponents 35%Independent Watchdogs 25%
9 sources · 21d ago
Model ContainmentSafety Precedent
OpenAI Pauses Astra Development After Model Hits 'Critical' Cyber Threshold
Precautionary Containment Advocates 40%Enterprise Cyber Defenders 40%AI Safety Skeptics 20%
8 sources · 27d ago
AI LiabilityLegal Explainer
Why OpenAI is Facing a Wave of 'Defective Product' Wrongful Death Lawsuits
Product Liability Advocates 40%AI Developers 40%Legal Scholars 20%
2 sources · 33d ago
ExplainerProject Glasswing
How Anthropic's AI Forced Tech Giants to Build the 'Project Glasswing' Cyber Defense Alliance
Alliance Members 45%Security Skeptics 30%Infrastructure Defenders 25%
7 sources · 52d ago
AI RegulationPolicy Explainer
Bipartisan US Bill Mandates AI Developers Report Model Evasion and Security Incidents
National Security Advocates 40%Commercial AI Developers 35%Open-Source Defenders 25%
6 sources · 67d ago
AI RegulationPolicy Explainer
EU Adopts Omnibus VII, Delaying Key High-Risk AI Act Compliance Deadline Until Late 2027
Enterprise Compliance Advisors 50%EU Policymakers 30%Public Interest & News Media 20%
4 sources · 69d ago
AI RegulationExplainer
How the US Government is Vetting Frontier AI Models Before Release
National Security Advocates 40%Commercial AI Labs 35%Open-Source Proponents 25%
2 sources · 75d ago
Data ProvenanceExplainer
The Great AI Opt-Out: How 2026 Became the Year We Took Back Our Training Data
Digital Privacy Advocates 35%Publishers and Creators 35%Enterprise Compliance Teams 29%
3 sources · 74d ago
ExplainerAI Guardrails
The Science of AI Guardrails: Why 'Jailbreaking' Models is So Complex
AI Safety Researchers 33%Cybersecurity Practitioners 33%Policymakers 33%
4 sources · 82d ago
ExplainerMechanistic Interpretability
Inside the AI Brain: How Researchers Are Finally Mapping the 'Thoughts' of Language Models
AI Safety Researchers 45%Open-Source Developers 35%Skeptical Evaluators 20%
4 sources · 85d ago
ExplainerAI Alignment
Why Tech Giants Are Training AI to Stop Flattering You
Alignment Researchers 40%Utility Advocates 30%Safety & Policy Watchdogs 30%
6 sources · 87d ago
AI SecurityExplainer
The Evidence Pack: How AI is Forcing a Revolution in Cyber Defense
Defensive Security Practitioners 40%National Security Officials 35%Frontier AI Developers 25%
3 sources · 73d ago
AI TransparencyExplainer
Opening the Black Box: How Scientists Are Finally Learning to Read AI's Mind
Interpretability Researchers 45%Open-Source Advocates 30%AI Pragmatists 25%
5 sources · 91d ago
AI CompanionsMental Health Debate
Are AI Companion Apps Harmful to Mental Health?
Therapeutic Supplement 45%Lifeline for the Isolated 40%Isolation Risk 15%
4 sources · 99d ago