OECD
OECD AI Principles
Promote use of AI that is innovative and trustworthy and that respects human rights and democratic values.
- Library section
- Companion references: Policy principles
- Published
- Adopted 22 May 2019; AI system definition revised 8 Nov 2023; amended 3 May 2024.
- Destination it supports
- Use of AI that is innovative and trustworthy and that respects human rights and democratic values.
The OECD AI Principles “promote use of AI that is innovative and trustworthy and that respects human rights and democratic values”, and “guide AI actors in their efforts to develop trustworthy AI and provide policymakers with recommendations for effective AI policies” (OECD AI Principles overview). They form part of the OECD Recommendation on Artificial Intelligence, “the first intergovernmental standard on AI”, which has 47 adherents. The Recommendation has two parts: five values-based principles for AI actors — inclusive growth, sustainable development and well-being; respect for the rule of law, human rights and democratic values, including fairness and privacy; transparency and explainability; robustness, security and safety; and accountability — and five recommendations for policymakers: investing in AI research and development; fostering an inclusive AI-enabling ecosystem; shaping an enabling interoperable governance and policy environment for AI; building human capacity and preparing for labour market transformation; and international co-operation for trustworthy AI (Recommendation of the Council on Artificial Intelligence (PDF)). It also contains the OECD definition of an AI system and its lifecycle, which the OECD reports is used by the European Union, the Council of Europe, the United States and the United Nations in their legislative and regulatory frameworks (OECD AI Principles overview). Its audience is governments and “AI actors” — the organisations and individuals that play an active role in the AI system lifecycle.
Five Forces coverage map
How far the framework covers each force (coverage, 0 to 3) and how far it tells you what to do about it (actionability, 0 to 2).
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Internal Pressures & Capabilities
Developed
Directional
3/5
Internal: coverage 2 of 3, actionability 1 of 2
[Principle 1.5 accountability: traceability of datasets, processes and decisions; systematic risk management at each lifecycle phase; responsible business conduct; Principle 1.4 mechanisms to override, repair or decommission AI systems safely; Principle 1.3 transparency and explainability] from [Recommendation of the Council on Artificial Intelligence (PDF)](https://legalinstruments.oecd.org/api/print?ids=648&lang=en) (Tier 1)
-
Global & Geopolitical Dynamics
Developed
Directional
3/5
Geopolitics: coverage 2 of 3, actionability 1 of 2
[Recommendation 2.5 international co-operation, including developing countries, and global technical standards for interoperable and trustworthy AI; 2.3 co-operation within and across jurisdictions for interoperable governance] from [Recommendation of the Council on Artificial Intelligence (PDF)](https://legalinstruments.oecd.org/api/print?ids=648&lang=en) (Tier 1); [47 adherents; foundation for global interoperability between jurisdictions] from [OECD AI Principles overview](https://oecd.ai/en/ai-principles) (Tier 1)
-
Societal & Regulatory Pressures
Deep treatment
Directional
4/5
Society: coverage 3 of 3, actionability 1 of 2
[Five values-based principles as an intergovernmental standard; 2.3 agile, outcome-based policy environment with controlled experimentation; 1.2 addressing misinformation and disinformation amplified by AI] from [Recommendation of the Council on Artificial Intelligence (PDF)](https://legalinstruments.oecd.org/api/print?ids=648&lang=en) (Tier 1); [AI system definition and lifecycle used in EU, Council of Europe, US and UN frameworks] from [OECD AI Principles overview](https://oecd.ai/en/ai-principles) (Tier 1)
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Industry & Competitive Pressures
Acknowledged
Directional
2/5
Industry: coverage 1 of 3, actionability 1 of 2
[Recommendation 2.2 inclusive, dynamic, sustainable and interoperable digital ecosystem — data, AI technologies, compute and connectivity infrastructure, knowledge sharing, data trusts; 2.1 public and private investment in research and development] from [Recommendation of the Council on Artificial Intelligence (PDF)](https://legalinstruments.oecd.org/api/print?ids=648&lang=en) (Tier 1)
-
Human Needs & Aspirations
Deep treatment
Directional
4/5
Human needs: coverage 3 of 3, actionability 1 of 2
[Principle 1.1 beneficial outcomes for people and planet, including augmenting human capabilities and advancing inclusion of underrepresented populations; 1.2 dignity, autonomy, non-discrimination and labour rights; 2.4 fair transition for workers, support for those affected by displacement, social protection, social dialogue] from [Recommendation of the Council on Artificial Intelligence (PDF)](https://legalinstruments.oecd.org/api/print?ids=648&lang=en) (Tier 1)
Total 16/25
For a companion reference the total reflects Five Forces coverage, not quality within its discipline.
Strategic Center Evaluation
| Strategic Parameter | Framework’s Treatment | Rating |
|---|---|---|
| Time Horizon | The Principles are designed to be “practical and flexible enough to stand the test of time” and name no planning horizons or stages (OECD AI Principles overview). | Silent |
| Automation vs Augmentation | Principle 1.1 names “augmenting human capabilities” as a beneficial outcome and 2.4 addresses displacement and fair transitions, without presenting automation and augmentation as a choice to be guided (Recommendation (PDF)). | Implicit |
| Idea-Execution Dynamic | Principle 1.1 refers to “enhancing creativity” as a beneficial outcome without naming the economic mechanism of falling execution barriers (Recommendation (PDF)). | Implicit |
Adjacent Publisher Context
The following materials are published by the OECD and address topics relevant to the Five Forces, but are not explicitly positioned as components of the OECD AI Principles. They are not included in the /25 coverage score above.
| Force | Adjacent Source (URL + date) | Relevance Summary |
|---|---|---|
| Internal Pressures & Capabilities | Catalogue of Tools & Metrics for Trustworthy AI (Tier 2, live platform, continuously updated) | A catalogue of tools and metrics that organisations can use to build and assess trustworthy AI. |
| Societal & Regulatory Pressures | OECD AI Incidents Monitor (Tier 2, live platform, continuously updated) | An evidence base of reported AI incidents and hazards that informs policy and risk management. |
Narrative Strengths & Gaps
Force 1 — Internal Pressures & Capabilities. The Principles set out what any organisation acting as an AI actor should have in place: traceability of datasets, processes and decisions; a systematic risk management approach at each phase of the AI system lifecycle; responsible business conduct; and mechanisms to override, repair or decommission systems that risk undue harm (Recommendation (PDF)). Accountability is tied to each actor’s role, context and the state of the art. As a policy standard, the instrument does not assess where an organisation stands (Map: Not met) or set out a route to get anywhere (Course: Not met); operating model, talent, data strategy and value creation inside the enterprise sit outside its scope. Its destination is explicit, a values baseline for AI that is innovative and trustworthy and respects human rights and democratic values, rather than an organisational ambition to choose.
Force 2 — Global & Geopolitical Dynamics. International co-operation is one of the five policy recommendations: governments, including developing countries, are asked to co-operate through the OECD and other fora and to promote multi-stakeholder, consensus-driven global technical standards for interoperable and trustworthy AI. With 47 adherents, and a G20 commitment drawn from the same text, the OECD presents the Principles as “a foundation for global interoperability between jurisdictions” (OECD AI Principles overview). Geopolitical competition, export controls and sovereignty are outside the instrument’s consensus-building purpose.
Force 3 — Societal & Regulatory Pressures. As the first intergovernmental standard on AI, the Recommendation is itself part of the regulatory environment enterprises face: its AI system definition and lifecycle are reported in use across EU, Council of Europe, US and UN frameworks. Recommendation 2.3 favours an agile, outcome-based policy environment with controlled experimentation, and Principle 1.2, as amended in 2024, addresses misinformation and disinformation amplified by AI (Recommendation (PDF)). The instrument states principles rather than procedures; implementation tools sit on OECD.AI as adjacent resources (Section 2.75).
Force 4 — Industry & Competitive Pressures. Recommendation 2.2 describes the ecosystem governments should foster — data, AI technologies, compute and connectivity infrastructure, and knowledge-sharing mechanisms such as data trusts — and 2.1 encourages public and private investment in research and development. Market competition and competitive positioning are not addressed directly, consistent with the instrument’s focus on public policy.
Force 5 — Human Needs & Aspirations. Human-centred outcomes are central to the Principles. Principle 1.1 directs AI towards beneficial outcomes for people and the planet, including augmenting human capabilities, enhancing creativity and reducing inequalities; Principle 1.2 names dignity, autonomy, non-discrimination and internationally recognised labour rights; and Recommendation 2.4 calls for a fair transition for workers, support for people affected by displacement, and social dialogue (Recommendation (PDF)). Customer expectations of individual enterprises are outside the instrument’s societal scope.
What this framework does not give you. A map of where the organisation stands. Without a clear picture of where it stands, an enterprise cannot tell which moves matter most. A route from today to a destination. Without a route, even a well-chosen destination stays an aspiration. A way to choose your own destination; it supports use of AI that is innovative and trustworthy and that respects human rights and democratic values. An enterprise that has not stated its own ambition cannot check whether this destination is the right one for it.
Synthesis. The OECD AI Principles serve general counsel, chief risk and compliance officers, public-policy and government-affairs teams, and boards that need to understand the international baseline behind many national AI rules — and to align their organisation’s values and accountability with it. They suit organisations of any maturity operating across several jurisdictions, whatever their strategic destination. The Five Forces lens complements them by translating these societal and international expectations into enterprise choices: where the organisation stands, the route and destination it chooses, operating model and capabilities, competitive positioning, geopolitical exposure, declared planning horizons, the choice between automation and augmentation, and the rising value of ideas as execution becomes cheaper.
Sources
Tier 1 (scored), recency-gate pass unless noted:
- OECD AI Principles overview – live page presenting the May 2024 update as current; canonical anchor
- Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449) – amended 3 May 2024; linked from the anchor; accepted under recency rebuttal (a)
- Recommendation of the Council on Artificial Intelligence (PDF) – amended 3 May 2024; full text of the instrument; source of Section 2 evidence
Tier 2 (reported in Section 2.75, not scored):
- Catalogue of Tools & Metrics for Trustworthy AI – live platform, continuously updated
- OECD AI Incidents Monitor – live platform, continuously updated
Tier 3 (third-party corroboration, not scored):
- None used.
Excluded on recency or quality (not scored):
- None cited.
This library is our opinion, based on each organisation's publicly published framework as at the date on that assessment, linked from the assessment page. It is offered to help you see a framework's coverage and its open dimensions, not as a comparison, ranking, or endorsement. The organisations named have not reviewed or endorsed these assessments. Sapience provides advisory services that sit alongside, and sometimes in contrast to, the work assessed here.