AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914723501441024 |
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| author | Leslie, David Rincon, Cami Briggs, Morgan Perini, Antonella Jayadeva, Smera Borda, Ann Bennett, SJ Burr, Christopher Aitken, Mhairi Katell, Michael Fischer, Claudia Wong, Janis Garcia, Ismael Kherroubi |
| author_facet | Leslie, David Rincon, Cami Briggs, Morgan Perini, Antonella Jayadeva, Smera Borda, Ann Bennett, SJ Burr, Christopher Aitken, Mhairi Katell, Michael Fischer, Claudia Wong, Janis Garcia, Ismael Kherroubi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14635 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects Leslie, David Rincon, Cami Briggs, Morgan Perini, Antonella Jayadeva, Smera Borda, Ann Bennett, SJ Burr, Christopher Aitken, Mhairi Katell, Michael Fischer, Claudia Wong, Janis Garcia, Ismael Kherroubi Computers and Society Artificial Intelligence Human-Computer Interaction 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. |
| title | AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects |
| topic | Computers and Society Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2403.14635 |