It allows people to query and evaluate the strength of evidence that is used to justify the validity of specific claims and the overarching argument about the ethics and trustwor- thiness of an AI system, promoting a more open, dialogical, and collaborative approach to assurance. [...] This box provides a summary of some of the salient parts of the guidance, as understood in the context of the TEA platform, and also introduces the reader to the idea of an ‘assurance ecosystem’. [...] > AI Ethics and Governance in Practice Programme: the AI Ethics and Governance in Practice Programme comprises a series of eight workbooks and a forthcoming digital platform designed to equip the public sector with the tools, training and support it needs to apply principles of AI ethics and safety to the design, development, deployment, and maintenance of its AI systems. [...] > Introduction to AI Assurance: the Department for Science, Innovation, and Technology’s Introduction to AI Assurance aims to build understanding of the value of AI assurance for enabling the development and deployment of safe and trustworthy systems. [...] The three over-arching stages of the project lifecycle model, in line with the third quadrant of the Unvirtuous Circle model, are as follows: > Project Design: the preliminary tasks and activities that set the foundations for the development of the model and system (e.g.
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- Pages
- 89
- Published in
- United Kingdom
Table of Contents
- Table of Contents 3
- Executive Summary 4
- What are the primary goals of this report 5
- Who is this report for 6
- How should this report be read 7
- Introduction 9
- Health and Healthcare 12
- What is Trustworthy and Ethical Assurance 15
- Methodology ArgumentBased Assurance 15
- From Safety to SAFE-D Operationalising Ethical Principles 22
- Fairness and Health Equity The Unvirtuous Circle 28
- Social Determinants of Health 30
- Two Models for Supporting Fairness Assurance in Digital Health and Healthcare 32
- Looking Outwards The Unvirtuous Circle 32
- Looking Inwards The Project Lifecycle Model 36
- A Plurality of Approaches Assuring Fairness and Health Equity 42
- Case Study 1 AI-enabled clinical diagnostic support system 44
- Context 44
- Key Information 44
- TEA Approach Identifying Fairness Requirements with the Project Lifecycle Model 45
- Case Study 2 Cardiac Electro-Mechanics Research Group Application 51
- Key Information 51
- TEA Approach Developing a Fairness Assurance Case 52
- Challenges and Limitations 57
- Scaffolding Communities of Practice 59
- What is a Community of Practice 60
- Addressing Bias in Assurance Cases The Case for Public Reason 64
- Next Steps Making Fair Assurance Cases FAIRer 66
- Why do the FAIR principles matter in the context of the TEA Platform 66
- References 71
- Trustworthy and Ethical Assurance of Digital Health and Healthcare TEA-DH Project and Engagement 78
- Appendix 1 78
- Workshop 1 Regulators and Policy-Makers 80
- Workshop 2 Practitioners 81
- Workshop 3 Researchers 82
- Cross-Cutting Themes 83
- The Trustworthy and Ethical Assurance TEA Platform 84
- Appendix 2 84
- Technical Details 85
- Key Features 85
