Towards higher confidence in alignment

As AI systems grow more capable and are increasingly deployed in high-stakes settings, our understanding of how models learn to follow certain values or constraints is still in its early stages. This talk explores the technical side of this problem for a general audience and explains why there is still much work to do. It introduces Resolution, a new nonprofit research organisation pursuing theoretical guarantees for alignment.