15 things I have learned launching AI projects - Index

In 2020, I joined the NHS AI Lab. Part of the now defunct NHSX (a joint digital unit between NHS England and the Department for Health and Social Care), the AI Lab was a £250M initiative to develop and deploy safe, ethical AI across the UK healthcare system.

For almost 3 year, I was one of its 2 Deputy Directors, as part of which I ran the NHS AI Skunkworks & Deployment programme, one of the first AI incubators ever set up in a public sector context, and certainly the first of its kind in the UK.

While I often joke that joining a healthcare organisation in the midst of a global pandemic was a debatable life choice, that experience gave me a solid exposure to what it actually means to try to adopt AI, expecially in a public sector environment.

This is a 4-part blog post:

• Part 1: the context in which we build AI
• Part 2: what does AI adoption means in practice
• Part 3: systemic issues in AI adoption
• Part 4: looking forward to better AI adoption COMING SOON

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