  Sustainable AI projects are continuously responsive to the transformative
effects as well as short-, medium-, and long-term impacts on individuals and
society that the design, development, and deployment of AI technologies may
have. Projects, which centre AI Sustainability, ensure that values-led,
collaborative, and anticipatory reflection both guides the assessment of
potential social and ethical impacts and steers responsible innovation
practices.
  This workbook is the first part of a pair that provides the concepts and
tools needed to put AI Sustainability into practice. It introduces the SUM
Values, which help AI project teams to assess the potential societal impacts
and ethical permissibility of their projects. It then presents a Stakeholder
Engagement Process (SEP), which provides tools to facilitate proportionate
engagement of and input from stakeholders with an emphasis on equitable and
meaningful participation and positionality awareness.
