AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects

• URL: http://arxiv.org/abs/2403.14635v1
• Date: Mon, 19 Feb 2024 22:52:14 GMT
• Title: AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects
• Authors: David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael Katell, Claudia Fischer, Janis Wong, Ismael Kherroubi Garcia,
• Abstract summary: AI projects are responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society. This workbook is the first part of a pair that provides the concepts and tools needed to put AI Sustainability into practice.
• Score: 0.46671368497079174
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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