Can AI Be Trusted? The Battle for Adversarial Robustness

In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) have taken center stage. But as these models become more powerful, so does the potential for misuse. Join us as we delve into the critical issue of adversarial robustness, exploring the ongoing battle to ensure AI's safe and ethical deployment. We'll uncover the tactics used to exploit LLMs, the challenges in defining and measuring harm, and the innovative solutions being developed to safeguard these models against adversarial attacks. From hate speech and misinformation to illegal activities and harm to children, we'll examine the real-world implications of AI's vulnerabilities and the collaborative efforts to build a more trustworthy and resilient AI ecosystem. Whether you're an AI enthusiast, a concerned citizen, or a tech industry professional, this podcast will provide valuable insights into the complex world of AI safety and the ongoing quest to harness its power for good.