Partner Index - Partnership on AI
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Partnership on AI is a major multi-stakeholder organization in AI governance; this partners page shows the breadth of institutions engaged in collaborative AI safety and ethics work, useful for understanding the landscape of organized AI governance efforts.
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Summary
This page lists the member organizations of the Partnership on AI (PAI), a multi-stakeholder nonprofit coalition dedicated to responsible AI development. Members span technology companies, academic institutions, civil society organizations, and nonprofits committed to AI safety and beneficial outcomes. The partnership facilitates collaboration and research across industry, academia, and civil society.
Key Points
- •PAI members include major tech companies, academic institutions, civil society groups, and nonprofits focused on responsible AI
- •The coalition aims to study and formulate best practices for AI technologies and their societal impacts
- •Membership reflects a broad multi-stakeholder approach to AI governance and safety coordination
- •Partners collaborate on research, guidelines, and frameworks for beneficial AI development
- •The organization serves as a coordination mechanism between industry and civil society on AI policy issues
1 FactBase fact citing this source
| Entity | Property | Value | As Of |
|---|---|---|---|
| Partnership on AI | partner-count | 143 | Mar 2026 |
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Our Partners
Partnership on AI’s global, multi-sector Partner community comes together to create solutions so that AI advances positive outcomes for people and society.
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Through dialogue, insight, education, and guidance, PAI informs responsible AI solutions and identifies opportunities to address humanity’s pressing challenges.
Partners participate in PAI’s work by:
Participating in PAI convenings and sharing insights based on expertise and experience
Collaborating with the PAI Program and Research team and other Partners to develop resources, tools, and recommendations related to PAI areas of focus
Joining Programs’ Steering Committees, providing leadership and expertise in a specific subject matter
Applying research and best practices within your own organizations, including collaborating on pilot programs, adopting PAI recommendations, and sharing resources with colleagues
Supporting more effective public and policymaker education on various pressing AI policy issues
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