Assembling Accountability: Algorithmic Impact Assessment for the Public Interest
This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
Published by Data & Society, Assembling Accountability examines the promise and challenges of using algorithmic impact assessments (AIAs) as tools for governing algorithmic systems.
It identifies ten key components that all impact assessments should consider—such as legitimacy, public consultation, and redress mechanisms—and argues that accountability is co-constructed alongside definitions of impact. The report emphasizes the need for inclusive, context-sensitive AIA processes that respond to the actual harms experienced by individuals and communities.
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