Algorithmic Impact Assessment
A methodology for systematically evaluating the societal impacts of AI systems prior to deployment. It encompasses identifying potentially affected groups, testing high-risk scenarios, and establishing ongoing monitoring mechanisms, with the goal of detecting and mitigating technology-related social risks in advance.
Core Facts
Timeline (last 90 days)
Algorithmic impact assessment (AIA) has not yet become a mandatory procedure at the federal level, and is only required in some states (such as Colorado and Illinois) for certain high-risk AI uses.
Some researchers and policy advocates are calling for the establishment of a mandatory "Algorithmic Impact Assessment" (AIA) system targeting high-risk AI systems.
All Facts (2)
Some researchers and policy advocates are calling for the establishment of a mandatory "Algorithmic Impact Assessment" (AIA) system targeting high-risk AI systems.
75%UnverifiedAlgorithmic impact assessment (AIA) has not yet become a mandatory procedure at the federal level, and is only required in some states (such as Colorado and Illinois) for certain high-risk AI uses.
50%