Artificial Intelligence (AI) is a broad term for digital technology that can perform tasks that require "intelligence", such as reasoning, making decisions, learning from mistakes, communicating, and problem solving.
Frequently asked questions (FAQs) on generative Artificial Intelligence
A series of FAQ's of different aspects of using AI which may help you. Please click on the link above.
AI links and resources
AI knowledge repository - NHS Digital
Artificial Intelligence (AI) has the potential to make a significant difference in health and care settings. We’re already seeing numerous applications of AI technology, and more work is underway to fully harness its benefits and use AI safely and ethically at scale. AI as a specialised technology differs in many ways to other medtech technologies. Addressing these AI considerations is the focus of the NHS AI team.
AI guides by University Hospitals Plymouth NHS TrustMany of us know what Artificial Intelligence (AI) is, but may not know about the concepts behind the terminology which is becoming more frequently heard in conversations around the types of AI which are commonly deployed.
A basic understanding of the principles on how each technology works can be crucial in deciding which technology you wish to utilise and the considerations and safeguards you need to put in place. These guides are part of a developing series (of which there will be more) which introduce:
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University AI GuidesSheffield Hallam University - Making the most of Generative AI Leeds University - Generative AI guidance for taught students Sheffield University - Generative AI - Guidance and resources to help you to get the most out of Generative AI within and alongside your studies. |
NHS
CopyrightAI Governance & EthicsUK Government
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Artificial intelligence (AI) toolsEnvironmental impact
NHS Futures: AI Virtual HubThis workspace is dedicated to bringing people in the NHS together to accelerate the development and deployment of safe, ethical AI in health and care.
Artificial Intelligence (AI) has the potential to make a significant difference in health and care settings. We’re already seeing numerous applications of AI technology, and more work is underway to fully harness its benefits and use AI safely and ethically at scale. AI as a specialised technology differs in many ways to other medtech technologies. Addressing these AI considerations will be the focus of the AI team. Our mission is to embed responsible, ethical and sustainable AI into NHS services to improve patient care, optimise resources, and empower NHS staff. Get involved by and share your knowledge, experiences, ideas and concerns with other likeminded individuals in the AI community. AI at EBSCOResponsible Research, Responsible AI. EBSCO aims to harness the responsible, equitable use of AI to seamlessly connect each unique researcher and library to the world’s most trustworthy content and discovery.
AI Hub for Healthcare Education The Virtual and Hybrid Learning Faculty provides resources focusing on and exploring how AI can drive future focused evidence-based health and care education.
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AI in healthcare
Thinking Critically about AI in Healthcare Jessica Morley, May 2023
Annotated bibliography on key issues around AI in healthcare.
Principles for artificial intelligence (AI) and its application in healthcare BMA, October 2024 (22 page report)
AI knowledge repository NHS England 2025
The NHS AI Lab : NHS England
Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts : European Parliament (June 2022)
NHS Strategy
Annotated bibliography on key issues around AI in healthcare.
Principles for artificial intelligence (AI) and its application in healthcare BMA, October 2024 (22 page report)
AI knowledge repository NHS England 2025
The NHS AI Lab : NHS England
Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts : European Parliament (June 2022)
NHS Strategy
- AI in healthcare: navigating the noise | NHS Confederation September 2024
- AI and the NHS: is it the silver bullet that will improve the health service’s productivity? Jessica Morley, Nuffield Trust Guest Blog 2024
- Preparing the NHS for the AI Era: A Digital Health Record for Every Citizen Tony Blair Institute, 2024
- AI for healthcare (Imperial College London)
- AI in health care: what do the public and NHS staff think? The Health Foundation, 2024
- Priorities for an AI in health care strategy. The Health Foundation, 2024
- Understanding healthcare workers’ confidence in AI. NHS AI Lab & Health Education England, 2022
- Developing healthcare workers’ confidence in AI. NHS AI Lab & Health Education England, 2022
- Patient Safety and Artificial Intelligence: Opportunities and Challenges for Care Delivery. Institute for Healthcare Improvement, 2024
- Artificial Intelligence in Health Care: Implications for Patient and Workforce Safety. Institute for Healthcare Improvement, 2024
This IHI Innovation Report presents a detailed review of three primary applications of generative artificial intelligence (genAI) in health care, including benefits and potential patient safety risks and unintended consequences resulting from genAI tools. - Balancing the risks and benefits of AI in the production of health information. Patient Information Forum, 2024
As the landscape evolves, health information producers are investigating the risks and benefits of using AI in their everyday work. Developed in collaboration with PIF’s AI working group, this position statement aims to help members understand the AI landscape and how to manage it.