Previous Shape Resources (AI)

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On this page you'll find resources that have previously been included in the Shape Pathway.

April 2026 - Implementing AI
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This podcast episode features Malte Gerhold, Director of Innovation and Improvement at the Health Foundation, discussing research and policy insights into health technology and AI. He highlights the need to shift focus from funding technology to funding change, the importance of public dialogue on the trade-offs people are willing to make with AI technologies, and the value of a problem-driven approach to AI adoption. Although positioned from a health perspective, the insights Malte shares are relevant to the entire health and social care sector:

Link: AI Implementation Insights from the Health Foundation - With Malte Gerhold

Question

Reflecting on the discussions in the podcast, how can you make sure all areas of your organisation benefit from AI technologies?

 What strategies do you have in place to support this?

An image of an empty board room
Question 
Malte stressed the importance of having clear and coherent priorities when it comes to implementing AI technologies. How true is this for your organisation? Do you know where the pain points and challenges are that could be addressed using AI technologies?
January 2026 - Preventing AI Bias
Parson typing on a laptop with a purple screen projected that reads AI
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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.

Link: Equity in Medical Devices: Independent Review

Question
  • What other examples of AI bias are you aware of?
  • How could your organisation reduce bias?
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?

Three women looking at a projected screen from a laptop
Question 
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?