🎥 Understanding AI RMF: Building Trust in AI | Cyberseczen In this video, we dive into the AI Risk Management Framework (AI RMF), developed by NIST, to help organizations address the challenges of managing AI risks. From trustworthiness to transparency, the AI RMF is a vital tool for ensuring AI systems are safe, fair, and beneficial for society. 🔍 What’s Covered in This Video: 1️⃣ What is AI RMF and why it’s important. 2️⃣ The four core functions: Govern, Map, Measure, Manage. 3️⃣ What’s new in the second draft, including the AI RMF Playbook. 4️⃣ How organizations can use AI RMF for practical applications. 5️⃣ Resources for success: The Playbook and Trustworthy AI Resource Center. 6️⃣ What’s next for AI RMF and how you can get involved. 💡 Key Takeaways: AI RMF is a flexible, evolving framework designed for voluntary use. It addresses technical and societal challenges like bias, fairness, and safety. The Playbook and Resource Center provide practical guidance and tools for implementation. 📘 Explore More: AI RMF Framework & Playbook: NIST Trustworthy AI Resource Center: 💬 Join the Conversation: What do you think is the biggest challenge in managing AI risks today? Share your thoughts in the comments below! 📌 Stay Connected: Subscribe to @Cyberseczen for more insights on cybersecurity, AI, and emerging technologies. 👍 Don’t Forget to Like, Share, and Subscribe! Your support helps us create more content to keep you informed and secure.