Uploaded November 2025 | Updated September 2026, 1 week ago
ai.llnl.gov
How do we keep artificial intelligence (AI) safe and secure as it advances at breakneck speed? In this video, we explore the risks of AI systems powering today’s chatbots, virtual assistants, and more. Featuring insights from leading experts like Yoshua Bengio and researchers at Lawrence Livermore National Laboratory (LLNL), discover how Project GUARD is pioneering AI safety and security for the future.
Learn the challenges of AI risk management, and why robust safeguards are essential. From “red teaming” and “blue teaming” to stress-testing AI for vulnerabilities, LLNL’s GUARD project is developing provably safe guardrails to ensure responsible and secure AI deployment.
In this video, you’ll learn about:
• Security risks and vulnerabilities in AI systems
• How AI can be “jailbroken” and why safety guardrails matter
• The importance of risk management, ethical guidelines, and trustworthy AI
• How LLNL’s Project GUARD uses red teaming and blue teaming to protect AI systems
• The future of AI safety, reliability, and national security
Learn more:
Visit LLNL’s website to learn more about Lawrence Livermore National Laboratory and to discover more about Project GUARD and ongoing AI research, check out the Data Science Institute.
IM# 2013059
ai.llnl.gov
How do we keep artificial intelligence (AI) safe and secure as it advances at breakneck speed? In this video, we explore the risks of AI systems powering today’s chatbots, virtual assistants, and more. Featuring insights from leading experts like Yoshua Bengio and researchers at Lawrence Livermore National Laboratory (LLNL), discover how Project GUARD is pioneering AI safety and security for the future.
Learn the challenges of AI risk management, and why robust safeguards are essential. From “red teaming” and “blue teaming” to stress-testing AI for vulnerabilities, LLNL’s GUARD project is developing provably safe guardrails to ensure responsible and secure AI deployment.
In this video, you’ll learn about:
• Security risks and vulnerabilities in AI systems
• How AI can be “jailbroken” and why safety guardrails matter
• The importance of risk management, ethical guidelines, and trustworthy AI
• How LLNL’s Project GUARD uses red teaming and blue teaming to protect AI systems
• The future of AI safety, reliability, and national security
Learn more:
Visit LLNL’s website to learn more about Lawrence Livermore National Laboratory and to discover more about Project GUARD and ongoing AI research, check out the Data Science Institute.
IM# 2013059
