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to advance cross-sector efforts to evaluate and mitigate potential risks associated with the advancement of LLMs

to develop a data empowerment clinic to train communities on managing and governing their data, and to test technical mechanisms to enable public participation in AI design

to advance AI literacy and responsible governance through education and cross-sector collaboration.

to amplify civil society perspectives, indigenous voices, and environmental considerations in global AI governance discourse

to advance ethical AI governance through civil society networks, policy frameworks, and knowledge resources.

to support the AI Equity Lab in developing and publicizing recommendations that advance the public interest

to enhance public understanding and policy discourse around AI.

to build AI capacity and awareness throughout the tech for good ecosystem

to advance AI harm detection and support pathways for redress.

to drive Responsible AI through corporate partnerships, policy resources, and multi-city convenings.

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