AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
SSRN Electronic Journal(2024)
Abstract
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.
MoreTranslated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined