AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
<|reference_start|>AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow: The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects. Stakeholder Impact Assessments (SIAs) are governance mechanisms that enable this kind of responsiveness. They are tools that create a procedure for, and a means of documenting, the collaborative evaluation and reflective anticipation of the possible harms and benefits of AI innovation projects. SIAs are not one-off governance actions. They require project teams to pay continuous attention to the dynamic and changing character of AI production and use and to the shifting conditions of the real-world environments in which AI technologies are embedded. This workbook is part two of two workbooks on AI Sustainability. It provides a template of the SIA and activities that allow a deeper dive into crucial parts of it. It discusses methods for weighing values and considering trade-offs during the SIA. And, it highlights the need to treat the SIA as an end-to-end process of responsive evaluation and re-assessment.<|reference_end|>
@article{leslie2024ai,
    title={AI Sustainability in Practice Part Two: Sustainability Throughout the AI
  Workflow},
    author={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},
    journal={arXiv preprint arXiv:2403.15404},
    year={2024},
    doi={10.5281/zenodo.10680345},
    archivePrefix={arXiv},
    eprint={2403.15404},
    primaryClass={cs.CY cs.AI cs.HC}
}