Safety, Alignment & Existential Risk

AI safety encompasses everything from preventing a chatbot from giving dangerous advice to ensuring that future, more capable AI systems remain under human control. It's a field that spans immediate engineering challenges and long-term theoretical concerns, and the discourse around it can be confusing because people use the same word - "safety" - to describe very different things. Near-term safety is about making today's systems reliable, robust, and resistant to misuse. Alignment research asks a deeper question: how do you ensure that an AI system pursues the goals you intended, even as it becomes more capable? And existential risk debates consider the possibility that sufficiently advanced AI could pose a threat to human civilisation itself. For most businesses, near-term safety is the immediate priority - ensuring your AI systems work correctly, don't produce harmful outputs, and fail gracefully. But the broader safety landscape shapes regulation, public perception, and investment priorities in ways that affect everyone building or deploying AI, regardless of how advanced their systems are.