A recap of Chris Jefferson's talk centred on MLOps and impending AI regulations. He highlighted challenges in deploying ML systems, focusing on compliance, risk, and harm prevention. Key discussions included security risks in ML models, the importance of understanding the impact of use cases, and managing failure modes. Chris also emphasised the societal impact of AI and the need to bridge the gap between public perception and technological realities. He advised on streamlining MLOps processes for efficiency and efficacy, and aligning development with the principles underlying regulation. Â
