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Why safe AI needs diversity
In AI safety, we talk a lot about whether a system is ‘acceptably safe’. That phrase is deliberate. Safety is never absolute, and so we’re always making a judgement and projecting our own assumptions about what ‘acceptable’ looks like. That raises an uncomfortable question: acceptable to whom, and under what circumstances? It’s that tension that…
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The 40,000-person gap: securing the UK’s nuclear skills pipeline
When I started my career in the 1990s, nuclear physics was often framed as a quest for fundamental discovery, often doing our nuclear physics experiments abroad, at international laboratories like…