The GovLab | AI Localism

AI Localism

AI Localism is a series of projects examining the actions taken by local decision-makers to address the use of AI within a city or community.

Background

The GovLab created the AI Localism project to collect a knowledge base and inform a taxonomy on the dimensions of local AI governance. This initiative began in 2020 with the AI Localism canvas, which captures the frames under which local governance methods are developing. This series presents current examples of AI localism that reflect principles and rights; laws and policies; procurement; engagement; accountability and oversight; transparency; and literacy.

Partners

Description

AI Localism includes an eight-part series that presents current examples of each frame of the AI localism canvas to identify themes among city- and state-led legislative actions. We ended with ten lessons on AI localism for policymakers, data and AI experts, and the informed public to keep in mind as cities grow increasingly ‘smarter.’ In December 2022, we produced a report titled "AI Localism in Practice: Examining how Cities Govern AI" based on this blog series. Read the full report here.

This work also includes a repository of actions taken by local leaders around the world on artificial intelligence. It allows practitioners to learn from others in the public sector.

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