Organisation for Economic Co-operation and Development (OECD)

Agentic AI in organisations: Early insights from practitioner interviews

Competition in the age of AI

Recent policy developments on AI in the labour market

Artificial intelligence and personal finance

Policies supporting responsible and systematic GenAI adoption in higher education

Surveys system-level responses to generative AI in higher education. Covers responsible-use guidance, compliance and procurement, AI competencies, evaluation and specialised tools, with attention to integrity, privacy and equity.

Artificial intelligence and open finance: Synergies, trade-offs and policy implications

The state of artificial intelligence in public audit: Evidence from selected countries and the European Union

Examines how public audit bodies deploy AI while preserving oversight and public trust. Identifies data fragmentation, limited technical capacity and governance gaps that obstruct responsible scaling beyond pilots.

Artificial Intelligence in Italian Financial Markets

Analyses responsible AI deployment in Italian financial markets under European regulation. Examines supervisory capacity, accountability, third-party dependencies and coordination between financial and AI oversight authorities.

The agentic AI landscape and its conceptual foundations

Compares definitions of AI agents and agentic systems against the OECD AI-system definition. Clarifies terminology needed to scope governance discussions and distinguish agent capabilities from claims about autonomy.

Supervision of artificial intelligence in finance: Challenges, policies and practices

Examines how financial supervisors oversee firms' AI use, including regulatory interpretation, monitoring tools and supervisory capability. It identifies approaches to protecting consumers and market stability as AI adoption changes operational and governance risks.

OECD releases Due Diligence Guidance for Responsible AI

Primary source (oecd.org) dated 26 January 2026 in OECD. See linked source for full text.

OECD Digital Education Outlook 2026: Exploring Effective Uses of Generative AI in Education

Assesses evidence on generative AI in education and the policies needed for responsible adoption. Addresses pedagogical safeguards, academic integrity, equity, data protection and the roles of teachers and education institutions.

AI adoption in the education system: International insights and policy considerations for Italy

Examines AI use in schools through equity, risk mitigation and curriculum policy. It proposes governance principles and a policy roadmap for Italy informed by international experience.

Artificial intelligence in Asia's financial sector: A review of country policies

Compares policies governing financial-sector AI across 15 Asian jurisdictions. Identifies approaches to managing emerging risks while supporting responsible innovation, financial inclusion and consumer protection.

Progress in Implementing the European Union Coordinated Plan on Artificial Intelligence (Volume 1)

Mapping relevant data collection mechanisms for AI training

Organises AI training-data acquisition methods into a policy-oriented taxonomy. Connects collection choices to privacy, rights-holder interests and responsibilities in AI development.

Leveraging artificial intelligence to support students with special education needs

Examines governance of AI tools for learners with special education needs. Links procurement and deployment to ethical design, privacy, monitoring and accountability so accessibility gains do not create new exclusions.

Governing with Artificial Intelligence: The state of play and way forward in core government functions

OECD releases report on intellectual property issues in AI trained on scraped data

Primary source (oecd.org) dated 9 February 2025 in OECD. See linked source for full text.

Exploring win-win outcomes of algorithmic management: Lessons from a laboratory experiment on worker consultation

Tests whether worker consultation can shape algorithmic management to protect job quality alongside productivity. The experiment offers evidence for participatory workplace governance, with limited generalisability beyond its three participating firms.

OECD launches new reporting framework for monitoring application of Hiroshima AI Process (HAIP) international code of conduct for organizations developing advanced AI systems

As part of the G7 Hiroshima AI Process, the G7 launched a voluntary reporting framework to encourage transparency and accountability among organizations developing advanced AI systems. The results will facilitate transparency and comparability of risk mitigation measures and contribute to identifying and disseminating good practices.

The Adoption of Artificial Intelligence in Firms: New Evidence for Policymaking

Uses enterprise evidence to assess policies supporting AI adoption. Examines training, qualification frameworks, public research partnerships and data access, while identifying gaps in policy evaluation and institutional support.

Steering AI's future: Strategies for anticipatory governance

Presents anticipatory governance approaches for emerging AI risks, combining foresight, stakeholder participation and adaptable policy. It explores how governments can prepare institutions before harms become entrenched.

Enhancing Access to and Sharing of Data in the Age of Artificial Intelligence

Summarises policy options for access to AI data and models while safeguarding privacy and intellectual property. Explains differentiated sharing arrangements and the legal, technical and organisational protections needed for trustworthy use.

Who will be the workers most affected by AI?: A closer look at the impact of AI on women, low-skilled workers and other groups

Assesses unequal access to AI-related jobs and workplace tools across demographic groups. Identifies targeted policy support needed to prevent adoption from widening disadvantages for women, older workers and workers without tertiary education.

UNESCO, OECD and G7 release toolkit for AI in the public sector

Primary source (oecd.org) dated 15 October 2024 in OECD. See linked source for full text.

OECD and UN announce next steps in collaboration on AI

Primary source (oecd.org) dated 22 September 2024 in OECD. See linked source for full text.

AI Standards Hub and OECD collaborate to enhance OECD Catalogue of Tools and Metrics for Trustworthy AI

We are delighted to announce that the AI Standards Hub and the OECD are working together to enhance the OECD Catalogue of Tools and Metrics for Trustworthy AI with AI-specific standards from the AI Standards Hub’s Standards Database. The Hub will continue to enrich the OECD Catalogue of Tools and Metrics as new standards become available.

Regulatory approaches to Artificial Intelligence in finance

Compares approaches to regulating AI in financial services across 49 jurisdictions. Examines how oversight frameworks address financial-system risks and consumer protection as AI use expands.

The potential impact of Artificial Intelligence on equity and inclusion in education

Reviews educational AI through equity and inclusion concerns. Connects access, bias, privacy, disability inclusion and teacher preparation to safeguards against widening existing educational disparities.

OECD opens consultation on risk thresholds for advanced AI systems

From the OECD Secretariat on behalf of OECD Expert Group on AI Futures Co-Chairs: Francesca Rossi , Stuart Russell , Michael Schönstein .

AI, data governance and privacy: Synergies and areas of international co-operation

Maps connections between the OECD privacy framework and AI principles. Identifies gaps between regulatory communities and opportunities for international cooperation on privacy-respecting AI governance.

Using AI to manage minimum income benefits and unemployment assistance: Opportunities, risks and possible policy directions

Examines AI use in means-tested income support and unemployment assistance. Connects benefit access and administrative efficiency with risks and policy choices in the governance of automated welfare administration.

A new dawn for public employment services: Service delivery in the age of artificial intelligence

Reviews AI adoption by public employment services. Sets out governance needs around explainability, staff and client participation, and evaluation of potential harms in job matching and service delivery.

Governing with Artificial Intelligence: Are governments ready?

Assesses public-sector readiness to use AI responsibly. Connects potential service and accountability benefits with institutional safeguards, implementation capacity and policy challenges in government deployment.

Artificial intelligence, data and competition

Examines competition concerns across the generative-AI supply chain, including access to data and deployment markets. Provides a framework for identifying market power and barriers that could constrain competitive AI development.

OECD Digital Economy Outlook 2024 (Volume 1): Embracing the Technology Frontier

Reviews digital technology developments with substantial analysis of trustworthy AI policy. Examines national implementation efforts and the coordination needed to address fairness, privacy, safety and accountability risks.

Framework for Anticipatory Governance of Emerging Technologies

Sets out anticipatory governance tools for emerging technologies, including AI. Connects values, foresight, public participation, adaptive regulation and international cooperation to risks affecting rights, security and equity.

Generative AI for anti-corruption and integrity in government: Taking stock of promise, perils and practice

Examines generative-AI use by public integrity and anti-corruption bodies. Identifies operational risks and institutional safeguards needed when oversight organisations themselves adopt language models.

Using AI in the workplace: Opportunities, risks and policy responses

Identifies policy gaps in workplace AI adoption, including worker data collection, work intensity and inequality. Connects trustworthy deployment to labour-market protections and appropriate policy responses.