Robustness with Sidecars: Weak To Strong Supervision For Making Generative AI Robust For Enterprise

Many enterprise pilots with GenAI are stalling due to inconsistent performance, compliance, safety, and security concerns. This talk explores how AutoAlign CEO and co-founder Dan Adamson leveraged his experience building regulated AI solutions to develop Sidecar, a system designed to ensure Generative AI models are both powerful and safe. The presentation delves into how weak-to-strong supervision works to provide users with direct control over decisions, enhancing model power while ensuring Generative AI is safe for enterprise use. It addresses critical issues such as hallucinations, jailbreaks, data leakage, and biased content, offering a robust approach to AI safety that continually evolves to mitigate these risks.