Workbook 2 focuses on stakeholder impact assessments (SIAs) as a tool for identifying potential harms and benefits. It outlines the importance of revisiting SIAs during each phase of an AI system's lifecycle—design, development, and deployment—to ensure sustainable and responsible AI practices

The main focus of this workbook is about "Introduction to Sustainability: Stakeholder Impact Assessments" which outlines the importance of conducting Stakeholder Impact Assessments (SIAs) in the context of AI projects. It emphasizes how SIAs contribute to building public confidence, strengthening accountability, illuminating unseen risks, supporting informed decision-making, and demonstrating due diligence. SIAs go beyond Data Protection Impact Assessments (DPIAs) and Equality Impact Assessments (EIAs) by providing a comprehensive evaluation of the potential societal and individual impacts of AI technologies. The process involves revisiting initial assessments to ensure alignment with ethical standards throughout the development and deployment phases of AI systems. This approach underscores the need for ongoing engagement with stakeholders and responsiveness to changes in the AI lifecycle to sustainably manage impacts on individuals and communities.