AI Safety Tiers Explained: Low, Medium, High, Critical

AI preparedness framework explained: how OpenAI grades frontier models as Low, Medium, High, or Critical risk before release, and what each tier actually triggers. When OpenAI announced in August 2026 that its unreleased Astra model may have crossed the Critical cybersecurity threshold, it marked the first time any frontier AI lab publicly triggered that designation and halted development. This video breaks down the structured system behind that decision. You will learn exactly how OpenAI's Preparedness Framework classifies AI risk, what automated evals and red-teaming actually measure, and where critics say the AI safety evaluation process still has serious gaps. Whether you follow AI safety research, work in cybersecurity, or are studying how AI governance works, this is the clearest walkthrough of the framework available. In this video: - What an AI preparedness framework is and why labs use one - The four risk tiers: Low, Medium, High, and Critical, and what each means - How model evaluations and red-teaming determine a model's tier - What operational consequences each tier triggers for deployment and development - The enforcement gaps critics and peer-reviewed research have identified Subscribe to Webronaq for clear, practical lessons on computer science, AI, and software engineering: https://www.youtube.com/@webronaq #AIpreparednesframeworkexplained #AISafety #OpenAI #CybersecurityAI #Webronaq