Webinar Recap: The AI Balancing Act: Benchmarking LLMs for Usability vs. Security

What you'll learn

• Traceability and Bias: Can we track when an LLM becomes biased and provide a mechanism for correction?
• Purpose Limitation: Establishing guardrails to ensure an agent cannot act in a certain way (e.g., providing complete misinformation or materially affecting a citizen’s life, as in a home loan process).
• Data Minimization: Ensuring the model is trained with enough data to be useful, but not so much that it contains excessive personally identifiable information (PII) or protected health information (PHI).
• Integrity and Confidentiality: Proving confidential data will never be returned in a prompt request and establishing an audit process to back that up.

Topics covered