Previous Shape Resources
On this page you'll find resources that have previously been included in the Shape Pathway.
January 2026 - Preventing AI Bias
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AI solutions use data to learn, and it’s therefore essential that the data we feed into AI doesn’t result in unfiar bias. This is particularly vital in health and social care, where bias in AI could undermine the principle of fair healthcare for all. Read through Chapter 7 (pages 64-80) of this report for information on how biases can occur, examples of this, and what can be done to ensure AI is bias-free. |
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October 2025 - Navigating the AI Noise
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In this recorded lecture, Hetan Shah (Chief Executive of the British Academy), provides an honest overview of how policymakers and senior leaders can navigate the hype and critically assess what’s needed to ensure AI gives people what they want and need to improve their health. Watch the video from 7m45s to 45m50s to hear Hetan’s lecture. Link: Hype, hallucination, hope – what might AI mean for our health? |
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| Hetan stresses the importance of engaging the public and allowing them to shape the way that AI technologies are used. How could this be factored into your organisational approach? |