AI isn't just coming—it's here, and it's already failing dangerously. 💥 From a $25M deepfake heist to a $100B stock crash, we're breaking down why AI safety isn't sci-fi, it's an urgent necessity.

We’ll talk about:

• A complete guide to AI Safety, breaking down the real-world risks we're already facing (like AI hallucination and malicious deepfakes).
• The 4 major sources of AI risk: Malicious Use, AI Racing Dynamics (speed vs. safety), Organizational Failures, and Rogue AIs (misalignment).
• The NIST AI Risk Management Framework (RMF)—the gold standard for organizations implementing AI safely (Govern, Map, Measure, Manage).
• The OWASP Top 10 for LLMs—the essential security checklist for developers building AI applications, covering risks like Prompt Injection and Model Theft.
• Practical AI safety tips for individuals, including how to minimize information sharing, disable training features, and verify AI outputs.

Keywords: AI Safety, AI Risk, NIST AI RMF, OWASP, Deepfakes, AI Hallucination, AI Governance, Malicious AI, Prompt Injection, AI Ethics

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