In this post, I’ll explore essential prerequisites, generative AI solution design decisions, and post-deployment monitoring strategies that can help lead to successful AI implementation.

This fascinating topic bought me back to my Neuroscience roots, in attempt to understand why behavioural change in sustainability may not be happening as fast as we need and what nudge tactics does scientific data encourage for a successful sustainability transition?

With just over a month to go until global leaders meet at Bletchley park for the first AI summit, pressure is mounting around the urgency to gain clarity over the governance of AI. The UK is a world-leader in AI – ranking third behind the US and China but the EU has set the pace with it’s AI Act. The US has published a safe AI innovation framework. Microsoft, Anthropic, Google and Open AI have launched the Frontier Model Forum to address many aspects of AI safety and the G7’s Hiroshima AI framework, marks a commitment to co-ordinate global regulation. So what will be achieved at the AI summit this November?