Drive

Add to favourites

The Drive pathway is for anyone involved in leading and influencing change across services and organisations (e.g. senior managers, service or programme leads). By developing the content in Embed, this pathway focuses on how AI concepts can be threaded through ways of working to drive change in organisations.

If you aren't sure you understand any of the content, jump back to the Embed pathway and use the resources there to develop your knowledge before carrying on.

Step 1 - AI in Scotland
Letters A and I in a black circle with purple light beams shining outwards
Read 

The Scottish AI Alliance have developed the Scottish AI Playbook which aims to provide the resources, guidance and tools needed by Scottish organisations to support their journey to trustworthy, ethical and inclusive AI implementation. 

The playbook contains useful information on why AI is so important for Scotland’s future, what key policies and legislation you need to be aware of, and what the priorities are for AI in Scotland.

Link: The Scottish AI Playbook

Question 

The playbook highlights collaboration opportunities as a key element of the Scottish AI roadmap. 

  • What people or organisations could you collaborate with when it comes to AI?
  • What support would you need to make this happen?
Step 2 - AI Spheres of Influence
Question 
Take a moment to reflect on your organisation’s approach to AI. How is this organised? How are the many different opportunities being managed, along with associated risks and challenges?
Read

This article from CAST proposes the ‘AI Spheres of Influence Diagram’ which highlights the different perspectives and contexts that can be relevant to AI conversations.

Link: Perspectives on change

3 round glass spheres
Step 3 - AI Panel on Health and Care
Person in suit pointing at electronic pad with light finger and AI holographic emergy
Read

Review the summary and recommendations from the People’s AI Panel on Health and Care, which gathered public and stakeholder views on the use of Ambient Voice Technologies (AI scribes) in NHS Scotland. The panel explored opportunities, risks, and ethical boundaries for AI adoption in health and care. 

Link: People’s AI Panel on Health and Care: Guidance and Pulse Report

Question 

Take a moment to answer each of the following questions and reflect how your answers apply to any existing or potential AI systems within your organisation. 

  • How can decision-makers ensure that AI technologies in health and social care are co-designed with the service users? Why is this important? 

  • How can the impact of AI on trust, patient experience, and health outcomes be measured and reported to ensure continuous improvement and accountability?

Step 4 - Building Trust in AI
Overview

Artificial intelligence has the potential to improve services and support decision making across health and social care. Successful adoption depends on trust. Staff, patients and organisations need awareness that AI systems are transparent, reliable and used appropriately.

Listen

Listen to the first 8 minutes and 5 seconds of "Tech Life - The Problem with AI" from BBC Sounds. The programme explores how researchers and technology companies are developing new approaches to AI that combine machine learning with symbolic reasoning. This approach, known as neuro-symbolic AI, aims to make AI systems more transparent by helping them explain how decisions are reached, identify uncertainty and provide greater insight into their reasoning.

Link: Tech Life - The problem with AI - BBC Sounds

Human hands with phone with AI on it.
Questions 
Why might transparency and explainability be important when using AI within health and social care settings?
Task

Identify three factors that would help promote trust, transparency and responsible use of AI within your organisation. 

Step 5 - Leading Responsible AI Adoption (New)
Overview 

AI can reduce administrative burden, support decision-making and create more time for care and service improvement. However, it can also change roles and introduce new responsibilities around oversight, validation and accountability. 

Successful adoption depends on clear governance, workforce involvement and ensuring staff have the skills and confidence to use AI safely and effectively. 

AI and building blocks
Read

Read "Beyond Productivity: AI and NHS Workforce Implications." 

Although written from an NHS perspective, many of the themes are relevant across health and social care. The report explores how AI is changing roles, skills and ways of working, highlighting the importance of workforce development, governance, professional judgement and leadership in supporting responsible adoption. It also considers how AI can create new responsibilities around oversight, validation and accountability. 

Link: UCLP Implication of AI on the NHS Workforce

 

Task

Identify one area where AI could support your team or service.  

Consider: 

  • What is the intended benefit 

  • How roles or responsibilities may change 

  • Where human oversight must remain 

  • What training or guidance staff would need 

  • How success would be measured 

Action
Identify one practical step your organisation could take to prepare staff for responsible AI adoption. 
What next?

You have now completed the Drive pathway. 

Graphic of envelope with an @ sign coming out of it

Pathway Update Notifications

You can access this Pathways Update Notifications Form to register to receive email notifications when pathway content is updated or new resources are added. 

A purple circle with a white plus icon in the middle

Further Resources

Find further resources on artificial intelligence on the Digital and Data Resource Hub

Checklist with a tick in the corner

Feedback

To share any comments or questions you have about the pathway, please use this Feedback Form. You can also let us know if any of the links aren’t working, or the resources aren’t available.

Click here to go to the homepage 

Click here to move onto the Shape Pathway