AI Ethics and Governance in Practice: AI Accountability in Practice

The final workbook in the AI Ethics and Governance in Practice Programme.

Abstract

In 2021, the UK's National AI Strategy recommended that UK Government’s official Public Sector Guidance on AI Ethics and Safety be transformed into a series of practice-based workbooks. The result is the AI Ethics and Governance in Practice Programme. This series of eight workbooks provides end-to-end guidance on how to apply principles of AI ethics and safety to the design, development, deployment, and maintenance of AI systems. It provides public sector organisations with a Process Based Governance (PBG) Framework designed to assist AI project teams in ensuring that the AI technologies they build, procure, or use are ethical, safe, and responsible. 

This is the eighth workbook in the series. It aims to provide resources and training materials to help you and your team establish an end-to-end accountability framework. This will enable you to integrate the ethical values and practical principles, which motivate and steer responsible innovation, into the actual processes that characterise your AI project lifecycle. 

You can download a summary of the workbook below, alongside the full workbook. 

Citation information

Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ., Burr, C., Hadjiloizou, S., and Fischer, C. (2024). AI Accountability in Practice. The Alan Turing Institute.

Turing affiliated authors

SJ Bennett

Research Associate, Data Justice and Global Ethical Futures

Dr Christopher Burr

Innovation and Impact Hub Lead (TRIC-DT), Senior Researcher in Trustworthy Systems (Tools, Practices and Systems)