Partnership on AI Welcomes DLA Piper, ELLIS Alicante, MLCommons, Open Library Foundation, and Windfall Trust as Partners

2026-04-02 · Source: Partnership on AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, medium

Summary

The Partnership on AI (PAI), established in 2016, has welcomed five new organizations to its partner community: DLA Piper, ELLIS Alicante, MLCommons, Open Library Foundation, and Windfall Trust. These additions aim to broaden PAI's collective capacity in critical areas such as law, research, technical standards, public infrastructure, and economic foresight, all essential for co-creating AI solutions that serve the public interest. DLA Piper is a global law firm focusing on AI and data analytics legal and compliance risks. ELLIS Alicante is a non-profit research foundation dedicated to human-centered AI for social good. MLCommons is an AI engineering consortium focused on improving AI systems through open collaboration and benchmarking. The Open Library Foundation ensures the long-term availability and sustainability of open-source projects for libraries, emphasizing ethical data curation. Windfall Trust works to ensure the broad economic benefits of advanced AI are shared equitably.

Key takeaway

For Directors of AI/ML and AI Ethicists evaluating strategic partnerships, this expansion highlights the necessity of integrating diverse expertise—from legal and technical standards to economic foresight and ethical data stewardship—into your AI development ecosystem. Your organization should actively seek collaborations that bridge these varied domains to ensure AI solutions are not only innovative but also responsible, compliant, and beneficial to society, mitigating risks and fostering public trust.

Key insights

Diverse cross-sector partnerships are crucial for developing responsible, equitable, and human-centered AI solutions.

Principles

• Responsible AI requires multidisciplinary collaboration.
• Open standards and ethical data curation are foundational.
• Economic benefits of AI should be broadly distributed.

Method

PAI fosters collaboration across legal, research, technical, public infrastructure, and economic sectors to bridge technical rigor, governance expertise, and public-interest impact in AI development.

In practice

• Engage legal experts for AI compliance and risk management.
• Utilize benchmarking suites for AI reliability and safety.
• Prioritize ethical data curation in AI training.

Topics

• Partnership on AI
• Responsible AI
• AI Governance
• Human-Centered AI
• AI Benchmarking

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Ethicist, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by Partnership on AI.