Reflections on the Intro to ML Safety Course
As ML systems expand in size and capabilities, it’s crucial to prioritize safety research. Like any powerful technology, the responsible development and deployment of ML systems require a thorough understanding of potential risks and a dedication to mitigating them. In this blog post, I’ll share what I’ve learned from the Introduction to ML Safety course offered by the Center for AI Safety. There are four main research areas to mitigate existential risks (X-Risks) from strong AI....