The AI Security Podcast Episode 14: the AI Security Likelihood Project - Interim report and dataset now out!
Dec 17, 2024
Delve into the intriguing world of AI security as the hosts discuss their groundbreaking research on the AI incident database. They share insights on the challenges of analyzing AI risks and the necessity for tailored cybersecurity approaches. Learn about the complexities of vulnerability assessment and the innovative data collection methods shaping the future of AI security. Plus, join the conversation on the disconnect between industry perceptions and academic findings, all while navigating through the festive spirit of the holiday season!
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Episode notes
Holiday Festivities
- Harriet and Tanya recount their experiences at a Christmas party, describing the vibrant atmosphere and unique cocktails.
- They also discuss a virtual holiday party with colleagues, highlighting the diverse team and fun trivia.
Project Background
- Tania joined the Malevolent AI Research project funded by Foresight, collaborating with ANU and UNSW.
- The project aims to understand AI security incident likelihood, addressing a key organizational concern.
AI Security Risk Challenges
- Existing cybersecurity risk management methods have limitations, especially regarding predicting actual financial loss.
- Extending these methods to AI security enhances these limitations, highlighting the need for new approaches.
