Collaboratively developed by GovEx, Harvard DataSmart, the City and County of San Francisco, CA, and Data Community DC, this practical toolkit helps cities understand the implications of using algorithms, clearly articulate the potential risks, and identify ways to mitigate them. ...
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The NYC AI Primer defines "artificial intelligence" and outlines the phases of the AI lifecycle to facilitate better policy and recognize both opportunities and risks in using AI. The primer also includes a discussion of key practical and ethical considerations of AI and machine learning. ...
Developed by Actionable Intelligence for Social Policy, this toolkit provides strategies to center racial equity and community voices throughout the data lifecycle, from data collection to analysis and dissemination. The toolkit includes information on how to get started, activities to help...