AI Ethics and Governance in Practice | The Alan Turing Institute

Created By:  Magnus Smidak
Last updated: 15 May 2024

A series of workbooks and reports designed to provides public sector organisations with the Process-Based-Governance (PBG) Framework, a framework for applying principles of AI ethics and safety to the design, development, and deployment of algorithmic systems.  

The "AI Ethics and Governance in Practice Series" by The Alan Turing Institute supports the responsible design and use of AI within the public sector. It introduces the Process-Based Governance Framework, focusing on integrating ethical values and principles into AI projects through stakeholder engagement and impact assessments. Key elements include ensuring fairness, managing bias, data integrity, and safety, with a commitment to transparency and accountability. This approach facilitates ethical and safe AI development by embedding reflective practices and principles across the AI project lifecycle .

Category: Characteristics » Use of data and intelligence Data maturity Data maturity » Leadership and strategy Data maturity » Data lifecycle Data maturity » Systems and tools Data maturity » Governance and compliance