The Shape pathway is for anyone responsible for making strategic decisions or leading organisations at a local, regional or national level (e.g. policy-makers, board-level leaders, chief executives, business owners, directors). This pathway encapsulates the insights from Explore, Embed and Drive. It encourages consideration of a strategic approach to AI.
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Scotland’s AI Strategy was published in 2021 and is designed to support the adoption of AI, encourage working together to accelerate AI activity, and set out a clear direction of travel that aligns AI with other strategic initiatives. Use the video and strategy links to familiarise yourself with it’s contents. Link: Scotland's AI Strategy |
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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? |
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You may already be having conversations with your colleagues about the use of AI, however the implementation of AI has a number of considerations. This LinkedIn article covers the key questions that board members and senior leaders should be discussing in order to navigate the complexities of AI adoption. Link: Seven Questions Every Board Member Should Ask About AI |
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Share these questions with your senior colleagues in an appropriate way to open up and structure conversations about AI. |
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Some staff may be worried or concerned that AI technologies will replace human professionals. Whilst AI may change the way we do things, it can never replace the person-centred care that our services provide across the health and social care sector. Read this article to find out why. |
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In the article, Angela stresses the importance of human decision making to shape the AI tools we build and use. What needs to be done across your organisation to help staff become confident and able to answer questions from colleagues and users of your organisation about AI? How could you contribute to this? |
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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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To share any comments or questions you have about the pathway please email nes.dew@nhs.scot. You can also let us know if any of the links aren’t working, or the resources aren’t available.
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