Partnership on AI Announces New Global Initiatives to Measure Progress in Responsible AI

2026-07-06 · Source: Partnership on AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Public Policy & Governance, Compliance & Risk Management · Depth: Fundamental Awareness, quick

Summary

On July 6, 2026, Partnership on AI (PAI) announced two global initiatives, the Global AI Progress Hub and the "Global Responsible AI: Measures of Progress" report, to establish a global standard for assessing ethical, safe, and trustworthy AI systems. These initiatives, unveiled during the first Global Dialogue on AI Governance, aim to provide public insight into AI governance and verify whether responsible AI commitments translate into real-world progress. The Progress Hub will allow organizations across sectors to document actions, track progress, and measure the impact of their efforts to advance trustworthy AI, with public access expected in Spring 2027. The annual "Measures of Progress" report will independently assess this data using a multi-stakeholder methodology, extending its authority beyond any single organization. PAI, founded in 2016, is a global nonprofit with over 150 partners.

Key takeaway

For AI governance professionals and organizations committed to ethical AI, these PAI initiatives offer a crucial framework. You should consider contributing your responsible AI actions to the Global AI Progress Hub to help build a verified, shared baseline of good practice. This participation will not only demonstrate your commitment but also inform a global, independent assessment, fostering greater trust and accountability in AI development and deployment.

Key insights

PAI launched initiatives to measure real-world progress in responsible AI, moving beyond principles to verifiable practice.

Principles

• Trust in AI requires clarity and shared evidence.
• AI governance needs verifiable, shared baselines.
• Multi-stakeholder collaboration strengthens assessment.

Method

The Global AI Progress Hub collects documented actions and progress from organizations. The "Measures of Progress" report annually assesses this data using a multi-stakeholder methodology.

In practice

• Organizations can document responsible AI actions.
• Track progress within a common framework.
• Inform public policy with verified data.

Topics

• Responsible AI
• AI Governance
• Partnership on AI
• Global AI Progress Hub
• Ethical AI
• AI Accountability

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