In this episode of Data Security Decoded, host Caleb Tolin sits down with Gabrielle Hibbert, a pioneering researcher developing a nutrition labeling system for generative AI tools. They explore how this innovative framework could transform transparency in AI, making complex privacy policies and data usage understandable for everyone from consumers to enterprise users. Whether you're implementing AI solutions in your organization or concerned about data privacy, this conversation offers valuable insights into creating better standards for AI transparency and user trust.

• Discover how video game design principles influence user-friendly AI documentation• Learn why current privacy policies fail to protect consumers• Explore the regulatory implications of standardized AI labeling• Understand the challenges of keeping labels current with rapid AI advancement