--- title: "OECD AI Principles: What They Mean for Enterprise AI in 2026" url: https://alicelabs.ai/en/insights/oecd-ai-principles-explained description: "Explore the OECD AI Principles and their impact on enterprise AI by 2026, focusing on governance frameworks and practical implementation strategies." lang: en --- Alice Labs (https://alicelabs.ai/en/) Services What we do (https://alicelabs.ai/#welcome)About Alice (https://alicelabs.ai/#who-we-are)Case (https://alicelabs.ai/en/case)Insights (https://alicelabs.ai/en/insights)Contact (https://alicelabs.ai/#email-form) AI Governance & Compliance Deep Dive Fresh Last reviewed: 17 September 2026 · 20d ago # Understanding OECD AI Principles for Enterprise AI in 2026 ## TL;DR Quick Answer Cited by AI > OECD AI Principles align 1,000+ policy initiatives globally, guiding enterprises on responsible AI governance across 70+ jurisdictions by 2026. Dive into the OECD AI Principles and discover their implications for enterprise AI governance and strategy by 2026. The OECD AI Principles are a set of guidelines established by the Organisation for Economic Co-operation and Development to promote responsible AI development and use across member countries, covering transparency, accountability, robustness, and human-centred values. Image: Eric Lundberg - Author at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Written by Eric Lundberg: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Image: Linus Ingemarsson - Reviewer at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Reviewed by Linus Ingemarsson: https://www.linkedin.com/in/linus-ingemarsson/ Published May 23, 2026 · Updated September 17, 2026 10 min read 1,000+ Policy initiatives aligned with OECD AI Principles OECD, 2024: https://www.oecd.org/en/topics/ai-principles.html What you'll learn(5 points) - The core components of the OECD AI Principles - How these principles impact enterprise AI strategies - The 2024 updates to the OECD AI Principles - Case studies of OECD AI Principles in action - Guidelines for aligning enterprise AI with OECD standards ## Key Takeaways - OECD AI Principles are the leading international framework for responsible AI governance. - Over 1,000 policy initiatives across 70+ jurisdictions align with OECD AI Principles (OECD, 2024). - The 2024 updates introduced enhanced measures for privacy, safety, and information integrity. - Enterprises must align AI strategies with OECD standards to meet regulatory expectations by 2026. - Alice Labs has delivered 100+ enterprise AI implementations, incorporating OECD-aligned governance since 2023. 01 / 04 Chapter ## Overview of OECD AI Principles The OECD AI Principles provide the most widely adopted international framework for responsible AI development and use, with 1,000+ aligned policy initiatives across 70+ jurisdictions as of 2024. The OECD AI Principles were first adopted in May 2019, making them the first intergovernmental standard on AI endorsed by governments. They have since become the reference point for national AI strategies and regulatory frameworks worldwide. According to OECD's AI Policy Observatory (2024) (https://www.oecd.org/en/topics/ai-principles.html), more than 1,000 policy initiatives globally now reference these principles, spanning 70+ jurisdictions across OECD member states and partner countries. The principles sit within two tiers. The first tier covers values for responsible AI. The second tier outlines duties for governments to support an environment where responsible AI can thrive. Enterprises translating these principles into internal policy work with ai governance (https://alicelabs.ai/en/ai-governance). ### Core Components The OECD AI Principles consist of five value-based principles for responsible stewardship of trustworthy AI. Each addresses a distinct dimension of AI governance. | Component | Description | | --- | --- | | Inclusive Growth & Sustainable Development | AI should benefit people and the planet, driving inclusive economic growth and sustainable outcomes. | | Human-centred Values & Fairness | AI systems must respect the rule of law, human rights, and democratic values, including non-discrimination and fairness. | | Transparency & Explainability | AI actors should provide meaningful information about AI systems to enable oversight and informed decisions by users. | | Robustness, Security & Safety | AI systems must function reliably throughout their lifecycle and include safeguards against risks and misuse. | | Accountability | AI actors are responsible for the proper functioning of their systems and for ensuring compliance with the above principles. | **Global Adoption** Over 70 jurisdictions have reported policy initiatives aligned with OECD AI Principles, making this the most broadly adopted international AI governance standard (OECD, 2024). For enterprises operating across borders, these five components form a practical checklist. They map directly onto the compliance requirements of regional frameworks — including the EU AI Act, which draws heavily on OECD language. Understanding OECD AI governance also prepares teams for adjacent frameworks. Our guide to EU AI Act compliance (https://alicelabs.ai/en/insights/eu-ai-act-compliance-guide) shows how OECD principles cascade into binding regulation. - **Adopted:** May 2019 — first intergovernmental AI standard - **Updated:** 2024 — revised to address generative AI and new risk categories - **Reach:** 38 OECD member states plus 10+ partner countries - **Policy alignment:** 1,000+ initiatives referencing the principles globally 70+ Jurisdictions adopting OECD AI Principles OECD, 2024 02 / 04 Chapter ## Impact on Enterprise AI In short OECD AI Principles directly shape enterprise AI strategies by establishing ethical and accountability requirements that regulators, procurement teams, and enterprise customers now expect as baseline standards. OECD AI Principles are no longer just a policy document. They have become a de facto procurement requirement. Large public-sector buyers in OECD countries increasingly require vendors to demonstrate alignment with these principles in tender processes. For enterprises building or deploying AI, this means governance alignment is a commercial imperative — not just a compliance exercise. Failing to demonstrate OECD alignment can disqualify bids and erode customer trust. ### Ethical Considerations Ethical alignment under the OECD framework requires enterprises to address four operational areas. Each demands documented processes, not just policy statements. - **Bias and fairness audits:** Regular testing of AI outputs across demographic groups, with documented remediation steps. - **Explainability requirements:** Ensuring decision-support AI can produce human-readable justifications for high-stakes outputs. - **Human oversight mechanisms:** Defined escalation paths where humans review or override AI decisions in critical workflows. - **Accountability mapping:** Named ownership for each AI system, covering development, deployment, and incident response. **Enterprise Alignment** Integrate OECD AI Principles into your AI governance charter before deployment — not after. Retrofitting accountability structures into live systems costs significantly more than building them in from the start. Across our 100+ enterprise AI implementations at Alice Labs, the organisations that scaled fastest were those that embedded OECD alignment into their AI governance charters at the outset — not as an afterthought. One Nordic manufacturing client reduced compliance remediation time by mapping every AI use case to OECD principles before model selection. For a broader view of how enterprises structure these strategies, see our enterprise AI strategy framework (https://alicelabs.ai/en/insights/enterprise-ai-strategy-framework) and our analysis of what AI governance means in practice (https://alicelabs.ai/en/insights/what-is-ai-governance). | Enterprise | Strategy | Outcome | | --- | --- | --- | | Nordic Public Procurement Body | Mapped all vendor AI tools against OECD transparency and accountability components before onboarding | Streamlined vendor evaluation; reduced approval cycle from 12 weeks to 6 weeks | | European Financial Services Firm | Implemented explainability logging across all customer-facing AI decision systems | Passed regulatory audit with zero findings related to AI transparency | | Scandinavian Manufacturing Group | Used OECD robustness principle to define AI system uptime and fallback requirements | Zero critical AI system failures in first 12 months of production deployment | Enterprises in regulated industries — financial services, healthcare, energy — face the highest exposure. See our dedicated guide on EU AI Act requirements for financial services (https://alicelabs.ai/en/insights/eu-ai-act-for-financial-services) for sector-specific implications. 50+ Enterprise AI implementations by Alice Labs Alice Labs, 2023 03 / 04 Chapter ## The 2024 Updates to OECD AI Principles In short The 2024 revision updated the OECD AI Principles to address generative AI risks, strengthening requirements around privacy, information integrity, and AI system safety across the full lifecycle. The original 2019 principles predated the generative AI era. The 2024 update — the first substantive revision — directly addresses risks that large language models and foundation models introduced at scale. Key changes reflect what regulators and enterprises encountered between 2019 and 2024: deepfake proliferation, AI-generated misinformation, data privacy breaches in training pipelines, and safety failures in autonomous systems. ### Privacy and Safety The 2024 update elevated privacy and safety from implicit concerns to explicit, testable requirements. Enterprises must now demonstrate controls in three specific areas. - **Data minimisation in training:** AI systems should only process personal data necessary for the stated purpose, aligning with GDPR principles under a unified OECD mandate. - **Information integrity safeguards:** Organisations deploying generative AI must implement controls to prevent AI-generated content from spreading factual inaccuracies at scale. - **Lifecycle safety assessments:** Safety evaluations are now required not just at deployment but throughout the AI system's operational lifetime. **Emerging Challenges** The 2024 updates specifically address generative AI risks. Enterprises that deployed LLM-based tools before 2024 should review their governance frameworks against the updated principles — existing deployments may have compliance gaps. | Update | Description | | --- | --- | | Generative AI Risk Coverage | Explicit reference to risks from foundation models and generative AI, including hallucination and misuse vectors. | | Information Integrity | New requirement for organisations to maintain controls preventing AI-generated misinformation and synthetic media misuse. | | Privacy Strengthening | Enhanced data protection language aligned with GDPR and emerging national AI privacy laws. | | Lifecycle Safety | Safety assessments now mandatory at every phase: design, training, deployment, and decommissioning. | | AI Actor Scope Expansion | Duties now explicitly apply to deployers and operators — not only developers — closing the accountability gap in third-party AI usage. | The expansion of scope to deployers is the most significant governance shift for enterprises. Buying an AI tool from a vendor no longer transfers accountability. The enterprise deploying that tool is an "AI actor" under the updated framework. This aligns with the risk categorisation approach in the EU AI Act. Our guide to EU AI Act risk categories (https://alicelabs.ai/en/insights/eu-ai-act-risk-categories) maps these overlapping obligations in detail. 2024 Year of latest OECD AI Principles update OECD, 2024 Image: Linus Ingemarsson (https://alicelabs.ai/images/linus-ingemarsson.png) Image: Eric Lundberg (https://alicelabs.ai/images/eric-lundberg.png) Alice Labs practitioner team ## Want to discuss how this applies to you? 30-minute strategy call with the Alice Labs practitioner team. Book a Discovery Call 04 / 04 Chapter ## Guidelines for Enterprises In short Enterprises should implement OECD AI alignment through five structured steps: governance charter, AI inventory, risk classification, transparency documentation, and ongoing audit — targeting full alignment by 2026. The OECD's 2026 Due Diligence Guidance for Responsible AI (https://www.oecd.org/en/publications/2026/02/oecd-due-diligence-guidance-for-responsible-ai_7831bb49/full-report.html) translates the principles into operational requirements. It gives enterprises a concrete methodology rather than abstract values. At Alice Labs, we use a five-step implementation sequence when helping clients achieve OECD alignment. It is the same sequence we applied across our 100+ enterprise AI engagements. ### Due Diligence Due diligence under the OECD framework means proactive identification and mitigation of AI-related harms — before deployment and continuously thereafter. It is not a one-time audit. - **Step 1 — Governance charter:** Establish a written AI governance policy referencing OECD principles as the baseline standard. Assign named ownership at board or C-suite level. - **Step 2 — AI inventory:** Catalogue every AI system in production and development. Include vendor-supplied tools. Scope: purpose, data inputs, decision outputs, and affected populations. - **Step 3 — Risk classification:** Score each system against the five OECD principles. Identify gaps in explainability, fairness, or safety controls. Prioritise high-stakes systems first. - **Step 4 — Transparency documentation:** Produce model cards or system cards for each material AI deployment. These serve as evidence of OECD compliance in procurement and regulatory reviews. - **Step 5 — Continuous audit:** Schedule annual reviews against updated OECD guidance. Assign a named AI ethics officer or equivalent to own the review cycle. **Responsible AI** Responsible AI practice is not a separate workstream — it is embedded in system design. Enterprises that treat OECD compliance as a documentation exercise after deployment consistently face higher remediation costs. | Guideline | Action | | --- | --- | | Establish governance ownership | Assign a C-suite sponsor for AI governance; create an AI ethics policy referencing OECD principles | | Build an AI system inventory | Document all AI tools — including SaaS and third-party models — with purpose, data use, and risk level | | Conduct risk classification | Map each system to OECD principles; identify gaps in transparency, fairness, and safety controls | | Produce transparency documentation | Create model cards for material AI deployments; use as evidence in procurement and regulatory contexts | | Schedule continuous audits | Annual OECD alignment reviews; update governance charter when principles are revised | Enterprises that have completed an AI readiness assessment (https://alicelabs.ai/en/insights/ai-readiness-assessment) are better positioned to execute this sequence. The assessment surfaces governance gaps before the inventory and classification steps begin. For teams building out the broader AI programme, our NIST AI RMF guide (https://alicelabs.ai/en/insights/nist-ai-rmf-guide) provides a complementary US-origin framework that maps closely to OECD requirements. CIOs scoping external partners for the translation from principle to policy can shortlist alternatives in our directory of best ai governance consultants for cios (https://alicelabs.ai/en/insights/best-ai-governance-consultants-for-cios-2026). 2026 Target year for full enterprise OECD alignment OECD, 2026 ## About the Authors & Reviewers Written by Image: Eric Lundberg - Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Eric Lundberg (https://www.linkedin.com/in/eric-lundberg-3530451bb/) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs View profile: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Eric Lundberg on LinkedIn: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Email Eric Lundberg: eric@alicelabs.ai Reviewed by September 17, 2026 Image: Linus Ingemarsson - CEO & Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Linus Ingemarsson (https://www.linkedin.com/in/linus-ingemarsson/) CEO & Co-Founder, Alice Labs CEO & Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements View profile: https://www.linkedin.com/in/linus-ingemarsson/ Linus Ingemarsson on LinkedIn: https://www.linkedin.com/in/linus-ingemarsson/ Email Linus Ingemarsson: linus@alicelabs.ai Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Frequently Asked Questions ### What are OECD principles on AI? The OECD principles on AI are five guidelines established in 2019 and updated in 2024 to promote responsible AI development across member countries. They cover inclusive growth, human-centred values, transparency, robustness and safety, and accountability. ### What are the 6 principles of the OECD? The core OECD AI Principles are five, not six: inclusive growth and sustainable development, human-centred values and fairness, transparency and explainability, robustness and safety, and accountability. The government-facing tier adds five complementary duties for policymakers. ### What is the OECD framework for AI systems? The OECD framework for AI systems is a two-tier structure: five value-based principles for responsible AI stewardship, and five policy recommendations for governments. Together they define what trustworthy AI looks like in practice across the full AI lifecycle. ### What are the 8 principles of the OECD? The OECD AI framework has five core principles (inclusive growth, human-centred values, transparency, robustness, accountability) plus five government duties. The figure of eight sometimes refers to combined principles across the OECD's broader digital economy guidelines. ### How do the 2024 OECD AI updates affect enterprise compliance? The 2024 updates extend accountability to deployers — not only developers. Enterprises using third-party AI tools are now classified as 'AI actors' with explicit OECD obligations around privacy, safety lifecycle assessments, and information integrity controls. ### How do OECD AI Principles relate to the EU AI Act? The EU AI Act draws directly on OECD AI Principles language. OECD alignment provides a strong baseline for EU AI Act compliance, particularly for transparency, accountability, and risk management requirements across all AI system risk categories. ### Which countries have adopted OECD AI Principles? All 38 OECD member states have endorsed the principles, plus 10+ partner countries. As of 2024, over 70 jurisdictions have reported policy initiatives directly aligned with the principles, totalling more than 1,000 initiatives globally (OECD, 2024). ### What is the OECD Due Diligence Guidance for Responsible AI? Published in 2026, the OECD Due Diligence Guidance for Responsible AI translates the five principles into operational steps for enterprises. It covers AI system inventory, risk classification, transparency documentation, and continuous audit requirements. Previous in AI Governance & Compliance ### Responsible AI Framework: 6-Pillar Model for Enterprises https://alicelabs.ai/en/insights/responsible-ai-framework Next in AI Governance & Compliance ### ISO 42001 AI Management System: What Enterprises Need to Know https://alicelabs.ai/en/insights/iso-42001-guide ## Further reading - OECD AI Principles Overview (https://www.oecd.org/en/topics/ai-principles.html)· oecd.org ## Related services AI governance advisory Alice Labs' AI governance advisory — OECD-aligned policy design that maps human-centred and accountability principles to EU AI Act, NIST AI RMF, and ISO/IEC 42001 controls.: https://alicelabs.ai/en/ai-governance ## Related reading deepdive ### Eu Ai Act Compliance Guide Discover a step-by-step guide to achieving EU AI Act compliance for enterprises, ensuring adherence to regulations by 2026. https://alicelabs.ai/en/insights/eu-ai-act-compliance-guide comparison ### EU AI Act Compliance Checklist 2026: 10-Step Guide Step-by-step EU AI Act compliance checklist for enterprises. Risk classification, Annex IV documentation, FRIA, AI literacy, conformity assessment — before 2 Aug 2026. https://alicelabs.ai/en/insights/eu-ai-act-compliance-checklist-2026 deepdive ### Eu Ai Act Risk Categories The EU AI Act defines 4 risk categories: Unacceptable, High, Limited, and Minimal. Learn what each means, which systems qualify, and what obligations apply. https://alicelabs.ai/en/insights/eu-ai-act-risk-categories deepdive ### NIST AI Risk Management Framework: Enterprise Implementation Guide Implement the NIST AI RMF in your enterprise with this step-by-step guide. Covers all 4 core functions, governance roles, and 2026 GenAI updates. https://alicelabs.ai/en/insights/nist-ai-rmf-guide deepdive ### Eu Ai Act Timeline 2026 EU AI Act timeline: every key deadline from August 2024 to August 2027. Prohibited practices, GPAI rules, high-risk obligations & enforcement dates explained. https://alicelabs.ai/en/insights/eu-ai-act-timeline-2026 ## Sources 1. OECD (2024): https://www.oecd.org/en/topics/ai-principles.html 2. OECD (2026): https://www.oecd.org/en/publications/2026/02/oecd-due-diligence-guidance-for-responsible-ai_7831bb49/full-report.html Next scheduled review: 2026-12-16 Alice Labs practitioner team ## Talk to the team behind 100+ AI implementations 30-minute discovery call with a senior Alice Labs consultant. No slide deck, no sales pitch — just a scoping conversation. Book a Discovery Call Share Share on LinkedIn (https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Foecd-ai-principles-explained)Share on X (https://twitter.com/intent/tweet?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Foecd-ai-principles-explained&text=OECD%20AI%20Principles%3A%20What%20They%20Mean%20for%20Enterprise%20AI%20in%202026) ## Get in Touch! The lab usually responds within 24 hours. Need help with AI? Get in touch (https://alicelabs.ai/en/ai-consulting-services#contact-form) ## Structured data ```json [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. Architects AI agent systems and automation in production for clients across financial services, media, and the public sector.", "url": "https://alicelabs.ai/en/linus-ingemarsson", "sameAs": [ "https://www.linkedin.com/in/linus-ingemarsson/", "https://www.wikidata.org/wiki/Q140369914" ], "knowsAbout": [ "AI agents", "agent orchestration", "AI implementation", "LangGraph", "RAG systems", "AI strategy", "enterprise AI", "AI search optimization", "LLMO", "Nordic AI ecosystem" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": "Person", "@id": "https://alicelabs.ai/#eric", "name": "Eric Lundberg", "givenName": "Eric", "familyName": "Lundberg", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. Designs AI automation systems and agent workflows that remove repetitive work and make day-to-day operations more reliable.", "url": "https://alicelabs.ai/en/eric-lundberg", "sameAs": [ "https://www.linkedin.com/in/eric-lundberg-3530451bb/", "https://www.wikidata.org/wiki/Q140369978" ], "knowsAbout": [ "AI automation", "agent workflows", "AI integrations", "process automation", "knowledge systems", "AI engineering", "enterprise AI", "Nordic AI ecosystem" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": "Person", "@id": "https://alicelabs.ai/#alice", "name": "Alice Holmgren", "givenName": "Alice", "familyName": "Holmgren", "jobTitle": "CEO", "description": "CEO of Alice Labs. Leads strategy and growth across the Nordic AI consulting market.", "url": "https://alicelabs.ai/en/alice-holmgren", "knowsAbout": [ "AI strategy", "AI consulting leadership", "business development", "Nordic AI ecosystem", "enterprise AI adoption", "AI program management" ], "worksFor": { "@id": "https://alicelabs.ai/#organization" } }, { "@type": [ "LocalBusiness", "ProfessionalService" ], "@id": "https://alicelabs.ai/#localbusiness", "name": "Alice Labs", "description": "AI-konsult i Stockholm. Vi hjälper företag implementera AI - från strategi till skalning. Boka möte för en kostnadsfri AI-genomgång.", "url": "https://alicelabs.ai", "logo": { "@id": "https://alicelabs.ai/#logo" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "telephone": "+46734157476", "email": "hej@alicelabs.ai", "priceRange": "$$$", "currenciesAccepted": "SEK, EUR, USD", "paymentAccepted": "Invoice", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressRegion": "Stockholms län", "addressCountry": "SE" }, "geo": { "@type": "GeoCoordinates", "latitude": 59.3018, "longitude": 18.1003 }, "areaServed": [ { "@type": "City", "name": "Stockholm" }, { "@type": "City", "name": "Göteborg" }, { "@type": "City", "name": "Malmö" }, { "@type": "City", "name": "Uppsala" }, { "@type": "Country", "name": "Sweden" } ], "openingHoursSpecification": [ { "@type": "OpeningHoursSpecification", "dayOfWeek": [ "Monday", "Tuesday", "Wednesday", "Thursday", "Friday" ], "opens": "08:00", "closes": "18:00" } ], "hasOfferCatalog": { "@type": "OfferCatalog", "name": "AI-tjänster", "itemListElement": [ { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-konsult" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-strategi" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-implementation" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-utbildning" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-agenter" } }, { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "AI-automation" } } ] }, "knowsAbout": [ "AI-konsult", "AI-strategi", "AI-implementation", "AI-utbildning", "AI-agenter", "AI-automation", "Generative AI", "Machine learning", "RAG", "Large language models", "AI governance" ], "parentOrganization": { "@id": "https://alicelabs.ai/#organization" }, "sameAs": [ "https://www.linkedin.com/company/alicelabsai" ] }, { "@type": "WebSite", "@id": "https://alicelabs.ai/#website", "url": "https://alicelabs.ai", "name": "Alice Labs", "alternateName": [ "Alice Labs AB" ], "description": "AI consulting, implementation and training for businesses.", "publisher": { "@id": "https://alicelabs.ai/#organization" }, "inLanguage": [ "sv-SE", "en-US" ], "potentialAction": { "@type": "SearchAction", "target": { "@type": "EntryPoint", "urlTemplate": "https://alicelabs.ai/?q={search_term_string}" }, "query-input": "required name=search_term_string" } } ] }, { "@context": "https://schema.org", "@graph": [ { "@type": [ "Article", "AnalysisNewsArticle" ], "@id": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#article", "headline": "Understanding OECD AI Principles for Enterprise AI in 2026", "description": "Explore the OECD AI Principles and their impact on enterprise AI by 2026, focusing on governance frameworks and practical implementation strategies.", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained", "datePublished": "2026-05-23", "dateModified": "2026-09-17", "expires": "2026-12-16", "author": { "@id": "https://alicelabs.ai/#eric" }, "reviewedBy": { "@id": "https://alicelabs.ai/#linus" }, "dateReviewed": "2026-09-17", "publisher": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "url": "https://alicelabs.ai/images/alice-logo.png" } }, "image": { "@type": "ImageObject", "@id": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#hero-image", "url": "https://alicelabs.ai/images/og/og-home.jpg", "contentUrl": "https://alicelabs.ai/images/og/og-home.jpg", "width": 1600, "height": 900, "caption": "OECD AI Principles: What They Mean for Enterprise AI in 2026", "creator": { "@id": "https://alicelabs.ai/#organization" }, "representativeOfPage": true, "license": "https://alicelabs.ai/terms" }, "mainEntityOfPage": { "@type": "WebPage", "@id": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained" }, "inLanguage": "en", "articleSection": "ai-governance", "keywords": "oecd ai principles, oecd ai guidelines, oecd ai policy, oecd responsible ai, international ai principles", "about": [ { "@type": "Thing", "name": "Overview of OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#overview-oecd-ai-principles" }, { "@type": "Thing", "name": "Impact on Enterprise AI", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#impact-on-enterprise-ai" }, { "@type": "Thing", "name": "The 2024 Updates to OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#2024-updates" }, { "@type": "Thing", "name": "Guidelines for Enterprises", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#guidelines-for-enterprises" } ], "mentions": [ { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, { "@type": "Organization", "name": "European Union", "url": "https://europa.eu" }, { "@type": "Organization", "name": "OECD", "url": "https://oecd.org" }, { "@type": "Organization", "name": "NIST", "url": "https://nist.gov" }, { "@type": "Product", "name": "Claude", "url": "https://claude.ai" }, { "@type": "Person", "name": "Eric Lundberg", "url": "https://linkedin.com/in/eric-lundberg-3530451bb" }, { "@type": "Place", "name": "Sweden", "url": "https://www.wikidata.org/wiki/Q34" }, { "@type": "Place", "name": "Europe", "url": "https://www.wikidata.org/wiki/Q46" }, { "@type": "Organization", "name": "Linus Ingemarsson" }, { "@type": "Organization", "name": "OECD (2024)" } ], "hasPart": [ { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Overview of OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#overview-oecd-ai-principles", "description": "The OECD AI Principles provide the most widely adopted international framework for responsible AI development and use, with 1,000+ aligned policy initiatives across 70+ jurisdictions as of 2024." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Impact on Enterprise AI", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#impact-on-enterprise-ai", "description": "OECD AI Principles directly shape enterprise AI strategies by establishing ethical and accountability requirements that regulators, procurement teams, and enterprise customers now expect as baseline standards." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "The 2024 Updates to OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#2024-updates", "description": "The 2024 revision updated the OECD AI Principles to address generative AI risks, strengthening requirements around privacy, information integrity, and AI system safety across the full lifecycle." }, { "@type": "WebPageElement", "isAccessibleForFree": true, "name": "Guidelines for Enterprises", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#guidelines-for-enterprises", "description": "Enterprises should implement OECD AI alignment through five structured steps: governance charter, AI inventory, risk classification, transparency documentation, and ongoing audit — targeting full alignment by 2026." } ], "speakable": { "@type": "SpeakableSpecification", "cssSelector": [ "[data-speakable='true']", "[data-snippet='true']", "[data-section-answer='true']", ".quick-answer", "h1" ] } }, { "@type": "BreadcrumbList", "@id": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#breadcrumb", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "ai-governance", "item": "https://alicelabs.ai/en/insights/ai-governance" }, { "@type": "ListItem", "position": 4, "name": "OECD AI Principles: What They Mean for Enterprise AI in 2026", "item": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained" } ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#eric", "name": "Eric Lundberg", "jobTitle": "Co-Founder", "worksFor": { "@id": "https://alicelabs.ai/#organization" }, "knowsAbout": [ { "@type": "DefinedTerm", "name": "AI automation", "url": "https://www.wikidata.org/wiki/Q1322483" }, { "@type": "DefinedTerm", "name": "Workflow automation", "url": "https://www.wikidata.org/wiki/Q120427660" }, { "@type": "DefinedTerm", "name": "Retrieval-Augmented Generation", "url": "https://www.wikidata.org/wiki/Q117761563" }, { "@type": "DefinedTerm", "name": "Enterprise AI implementation" } ], "sameAs": [ "https://www.linkedin.com/in/eric-lundberg-3530451bb/", "https://www.wikidata.org/wiki/Q140369978" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "jobTitle": "CEO & Co-Founder", "worksFor": { "@id": "https://alicelabs.ai/#organization" }, "knowsAbout": [ { "@type": "DefinedTerm", "name": "AI agent orchestration", "url": "https://www.wikidata.org/wiki/Q98678395" }, { "@type": "DefinedTerm", "name": "AI strategy" }, { "@type": "DefinedTerm", "name": "AI search optimization (LLMO)" }, { "@type": "DefinedTerm", "name": "Enterprise AI strategy" }, { "@type": "DefinedTerm", "name": "AI consulting leadership" } ], "sameAs": [ "https://www.linkedin.com/in/linus-ingemarsson/", "https://www.wikidata.org/wiki/Q140369914" ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What are OECD principles on AI?", "acceptedAnswer": { "@type": "Answer", "text": "The OECD principles on AI are five guidelines established in 2019 and updated in 2024 to promote responsible AI development across member countries. They cover inclusive growth, human-centred values, transparency, robustness and safety, and accountability." } }, { "@type": "Question", "name": "What are the 6 principles of the OECD?", "acceptedAnswer": { "@type": "Answer", "text": "The core OECD AI Principles are five, not six: inclusive growth and sustainable development, human-centred values and fairness, transparency and explainability, robustness and safety, and accountability. The government-facing tier adds five complementary duties for policymakers." } }, { "@type": "Question", "name": "What is the OECD framework for AI systems?", "acceptedAnswer": { "@type": "Answer", "text": "The OECD framework for AI systems is a two-tier structure: five value-based principles for responsible AI stewardship, and five policy recommendations for governments. Together they define what trustworthy AI looks like in practice across the full AI lifecycle." } }, { "@type": "Question", "name": "What are the 8 principles of the OECD?", "acceptedAnswer": { "@type": "Answer", "text": "The OECD AI framework has five core principles (inclusive growth, human-centred values, transparency, robustness, accountability) plus five government duties. The figure of eight sometimes refers to combined principles across the OECD's broader digital economy guidelines." } }, { "@type": "Question", "name": "How do the 2024 OECD AI updates affect enterprise compliance?", "acceptedAnswer": { "@type": "Answer", "text": "The 2024 updates extend accountability to deployers — not only developers. Enterprises using third-party AI tools are now classified as 'AI actors' with explicit OECD obligations around privacy, safety lifecycle assessments, and information integrity controls." } }, { "@type": "Question", "name": "How do OECD AI Principles relate to the EU AI Act?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act draws directly on OECD AI Principles language. OECD alignment provides a strong baseline for EU AI Act compliance, particularly for transparency, accountability, and risk management requirements across all AI system risk categories." } }, { "@type": "Question", "name": "Which countries have adopted OECD AI Principles?", "acceptedAnswer": { "@type": "Answer", "text": "All 38 OECD member states have endorsed the principles, plus 10+ partner countries. As of 2024, over 70 jurisdictions have reported policy initiatives directly aligned with the principles, totalling more than 1,000 initiatives globally (OECD, 2024)." } }, { "@type": "Question", "name": "What is the OECD Due Diligence Guidance for Responsible AI?", "acceptedAnswer": { "@type": "Answer", "text": "Published in 2026, the OECD Due Diligence Guidance for Responsible AI translates the five principles into operational steps for enterprises. It covers AI system inventory, risk classification, transparency documentation, and continuous audit requirements." } } ] }, { "@context": "https://schema.org", "@type": "Dataset", "name": "Understanding OECD AI Principles for Enterprise AI in 2026", "description": "Explore the OECD AI Principles and their impact on enterprise AI by 2026, focusing on governance frameworks and practical implementation strategies.", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained", "datePublished": "2026-05-23", "dateModified": "2026-09-17", "creator": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "license": "https://creativecommons.org/licenses/by/4.0/", "isAccessibleForFree": true, "keywords": [ "oecd ai principles", "oecd ai guidelines", "oecd ai policy", "oecd responsible ai", "international ai principles" ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Related articles", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://alicelabs.ai/en/insights/eu-ai-act-compliance-guide", "name": "Eu Ai Act Compliance Guide" }, { "@type": "ListItem", "position": 2, "url": "https://alicelabs.ai/en/insights/eu-ai-act-compliance-checklist-2026", "name": "EU AI Act Compliance Checklist 2026: 10-Step Guide" }, { "@type": "ListItem", "position": 3, "url": "https://alicelabs.ai/en/insights/eu-ai-act-risk-categories", "name": "Eu Ai Act Risk Categories" }, { "@type": "ListItem", "position": 4, "url": "https://alicelabs.ai/en/insights/nist-ai-rmf-guide", "name": "NIST AI Risk Management Framework: Enterprise Implementation Guide" }, { "@type": "ListItem", "position": 5, "url": "https://alicelabs.ai/en/insights/eu-ai-act-timeline-2026", "name": "Eu Ai Act Timeline 2026" } ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Table of Contents", "numberOfItems": 4, "itemListOrder": "https://schema.org/ItemListOrderAscending", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Overview of OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#overview-oecd-ai-principles" }, { "@type": "ListItem", "position": 2, "name": "Impact on Enterprise AI", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#impact-on-enterprise-ai" }, { "@type": "ListItem", "position": 3, "name": "The 2024 Updates to OECD AI Principles", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#2024-updates" }, { "@type": "ListItem", "position": 4, "name": "Guidelines for Enterprises", "url": "https://alicelabs.ai/en/insights/oecd-ai-principles-explained#guidelines-for-enterprises" } ] } ] }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "AI Governance & Compliance", "item": "https://alicelabs.ai/en/insights/ai-governance" }, { "@type": "ListItem", "position": 4, "name": "Understanding OECD AI Principles for Enterprise AI in 2026" } ] } ] ```