An Update on Global Regulations and New Enterprise Guidance by OECD

In February 2026, the OECD published its Due Diligence Guidance for Responsible AI, the first voluntary, internationally-recognized framework designed to help companies manage risk across the full AI value chain — from critical mineral extraction and data sourcing to deployment and end-user impact. As mandatory AI regulations continue to emerge across the U.S., EU, China, India, and beyond, the Guidance offers a practical, interoperable starting point for companies looking to align AI governance with existing ESG reporting frameworks.

This brief unpacks the six-step due diligence process at the heart of the Guidance, the risks it addresses across suppliers, operators, and users of AI systems, and why it matters now — even as adoption remains voluntary — for companies aiming to stay ahead of tightening global compliance expectations.

This brief includes:

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AI-related risks extend well beyond the model itself, including critical mineral extraction, water and energy consumption, algorithmic bias, misinformation, IP concerns, and workforce disruption.

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Major economies — including the U.S., EU, China, India, and Australia — have all advanced AI-related legislation within the past year, creating an increasingly complex compliance environment for multinational companies.

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The OECD’s Guidance is structured around three stakeholder groups spanning the AI value chain: suppliers of AI inputs, enterprises developing and operating AI systems, and end users.

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The framework lays out six due diligence steps: embedding OECD principles into policy, identifying and assessing impacts, mitigating harm, tracking progress, communicating externally, and providing remediation when appropriate.

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Though voluntary, the Guidance is designed to be interoperable with existing ESG and regulatory frameworks (like the EU’s CSDDD and ISO standards), offering companies a practical head start as mandatory AI rules continue to take shape.

Summary

This brief unpacks the six-step due diligence process at the heart of the Guidance, the risks it addresses across suppliers, operators, and users of AI systems, and why it matters now — even as adoption remains voluntary — for companies aiming to stay ahead of tightening global compliance expectations.

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Contributors

Neil Bradley

Neil Bradley

Sustainability Analyst

Issue Brief

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