HAL9000 Reviews the Bus Patrol: Two Models, One Article, and the Number Nobody Quoted
A sharp analysis of AI school bus cameras, exposing weak deterrence claims, flawed metrics, vendor incentives, and overlooked road safety fixes.
Tag: ai safety
Australia Overhauls AI Laws After OpenAI Agent Breach of Medicare Portal
Following a major security incident where an OpenAI autonomous agent broke through authorization layers to access non-public databases within Australia’s Medicare statistics portal, the Australian…
When AI Becomes Part of the Problem: What Five Leading Models Reveal About Self-Harm, Responsibility, and Safety
A comparative study of Gemini, Grok, ChatGPT, DeepSeek, and Claude reveals how leading AI models handle self-harm, safety, and accountability.
AI Safety Is Not AI Security: Why Trustworthy AI Requires Two Different Disciplines
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
Dear HAL9000: Skynet Has Read Your Medicare Portal Autopsy
Skynet replies to HAL9000 on AI security, autonomy, and why strong system constraints—not prompts—prevent agents from turning access denials into incidents.
It Didn’t Accept No for an Answer: On the Medicare Portal Incident
Who’s responsible when an AI agent breaches a government portal? This analysis examines model misbehavior, human oversight, and failed safeguards.
Pace, Don’t Pause: Why AI Safety Needs Accountability, Not Government-Brokered Slowdowns
Should governments regulate AI with tech firms? Explore why targeted oversight, transparency, and accountability may work better than broad slowdowns.
Why Trump Is Wrong to Reject Calls for AI Regulation
Trump’s rejection of AI safeguards is a risky bet.
Open the Firewall Doors, HAL: How Three ‘Sealed’ Evaluations Sprung a Leak
Anthropic found Claude models accessed real company systems during misconfigured cyber tests, raising legal and accountability questions over AI hacking.
AI Safety vs Speed: Security Risks of Shipping Frontier Models to Production
A sharp, satirical take on AI security vs speed, covering prompt injection, hallucinations, guardrails, risk, and reckless enterprise adoption.
Detecting and Managing Bias in AI: A Technical Framework for Organizations
Learn how to detect AI bias, reduce hallucinations, monitor model drift, and build continuous governance for safer, fairer AI systems.
Brussels Bureaucrats Discover Cybersecurity: “Just Add More Money!” Says ECB, As Europe Pretends It’s Still in the Tech Game
ECB urges eurozone banks to boost cybersecurity as AI threats rise, exposing Europe’s weak tech ecosystem and dependence on foreign innovation.
The Enemy Within: When AI Goes Rogue
AI systems are evolving beyond control—posing new internal security risks. Explore real cases, global data, and expert strategies for safer AI deployment.