OECD Due Diligence Guidance for Responsible AI (2026)
The OECD's 2026 guidance on due diligence for responsible AI: how suppliers of AI inputs, developers and deployers, and users of AI systems implement the MNE Guidelines' six-step due diligence and the OECD AI Principles, from policies and management systems through risk scoping, assessment, involvement and prioritisation, mitigation (data sourcing, transparency, security, responsible deployment, workplace AI), value chain leverage and investor engagement, to tracking, disclosure and remediation, with meaningful stakeholder engagement throughout.
OECD Due Diligence Guidance for Responsible AI (2026) is a compliance framework from International (OECD) with 7 domains and 24 controls. The largest domains are Step 2: Identify and assess actual and potential adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026) (8 controls), Step 3: Cease, prevent and mitigate adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026) (8 controls), Step 1: Embed responsible business conduct into policies and management systems – OECD Due Diligence Guidance for Responsible AI (2026) (4 controls). Every control below carries what it requires and what an assessor expects to see.
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Framework Domains (7)
Meaningful stakeholder engagement (all steps) – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::SE | SE Meaningful stakeholder engagement throughout due diligence |
Step 1: Embed responsible business conduct into policies and management systems – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::1.1 | 1.1 Responsible business conduct policies for AI |
| oecd-due-diligence-guidance-for-responsible-ai-2026::1.2.1-7 | 1.2.1-7 Management systems: oversight, responsibilities, records, communication and incentives |
| oecd-due-diligence-guidance-for-responsible-ai-2026::1.2.8-16 | 1.2.8-16 Management systems: process integration, incidents, grievances, decommissioning and contingency |
| oecd-due-diligence-guidance-for-responsible-ai-2026::1.3 | 1.3 Expectations on business relationships |
Step 2: Identify and assess actual and potential adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.1.G1 | 2.1.G1 Initial scoping of risks: suppliers of AI inputs |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.1.G2 | 2.1.G2 Initial scoping of risks: enterprises in the AI system lifecycle |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.1.G3 | 2.1.G3 Initial scoping of risks: users of AI systems |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.2.G1G3 | 2.2.G1G3 In-depth assessment by suppliers and users of high-risk AI developers |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.2.G2-own | 2.2.G2-own In-depth assessment of significant risks in own operations: enterprises in the lifecycle |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.2.G2-rel | 2.2.G2-rel In-depth assessment of risks through business relationships using the enterprise's AI |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.3 | 2.3 Assess involvement: cause, contribute or directly linked |
| oecd-due-diligence-guidance-for-responsible-ai-2026::2.4 | 2.4 Prioritise the most significant risks |
Step 3: Cease, prevent and mitigate adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.G2-data | 3.1.G2-data Mitigation by developers: responsible data sourcing and training |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.G2-deploy | 3.1.G2-deploy Mitigation by developers: responsible deployment |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.G2-sec | 3.1.G2-sec Mitigation by developers: security, safety and robustness |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.G2-transp | 3.1.G2-transp Mitigation by developers: transparency, explainability and traceability |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.G3 | 3.1.G3 Mitigation by users of AI systems |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.1.all | 3.1.all Cease and prevent impacts the enterprise causes or contributes to |
| oecd-due-diligence-guidance-for-responsible-ai-2026::3.2 | 3.2 Address risks directly linked through business relationships |
| oecd-due-diligence-guidance-for-responsible-ai-2026::B2.16 | B2.16 Due diligence by investors and financial institutions in AI |
Step 4: Track implementation and results – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::4 | 4 Track implementation and results |
Step 5: Communicate actions to address impacts – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::5 | 5 Communicate actions to address impacts |
Step 6: Provide for or co-operate in remediation – OECD Due Diligence Guidance for Responsible AI (2026)
| Code | Title |
|---|---|
| oecd-due-diligence-guidance-for-responsible-ai-2026::6 | 6 Provide for or co-operate in remediation |
What is OECD Due Diligence Guidance for Responsible AI (2026) and who does it apply to?
OECD Due Diligence Guidance for Responsible AI (2026) is a compliance framework from International (OECD) with 7 domains and 24 controls. The OECD's 2026 guidance on due diligence for responsible AI: how suppliers of AI inputs, developers and deployers, and users of AI systems implement the MNE Guidelines' six-step due diligence and the OECD AI Principles, from policies and management systems through risk scoping, assessment, involvement and prioritisation, mitigation (data sourcing, transparency, security, responsible deployment, workplace AI), value chain leverage and investor engagement, to tracking, disclosure and remediation, with meaningful stakeholder engagement throughout. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does OECD Due Diligence Guidance for Responsible AI (2026) actually require?
OECD Due Diligence Guidance for Responsible AI (2026) has 24 controls organised across 7 domains. The largest domains are Step 2: Identify and assess actual and potential adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026) (8 controls), Step 3: Cease, prevent and mitigate adverse impacts – OECD Due Diligence Guidance for Responsible AI (2026) (8 controls), Step 1: Embed responsible business conduct into policies and management systems – OECD Due Diligence Guidance for Responsible AI (2026) (4 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of OECD Due Diligence Guidance for Responsible AI (2026) do I already cover?
OECD Due Diligence Guidance for Responsible AI (2026) does not currently have cross-framework mappings in our system. Check back as we continuously expand our mapping database.
How do I implement OECD Due Diligence Guidance for Responsible AI (2026)?
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