Organisation for Economic Co-operation and Development (OECD)

HAIP is transforming transparency from a compliance burden to a competitive advantage

How Salesforce sees the HAIP Reporting Framework reducing AI governance fragmentation and making transparency a competitive advantage.

Skills in the AI age

How quantum technologies could open new frontiers for AI

This three-part blog series explores the growing complementarity between artificial intelligence (AI) and quantum technologies. The first post introduced quantum technologies and outlined their strengths and the challenges of combining AI with quantum systems. The second examined how AI can support

How people are using GenAI chatbots: Evidence from web traffic data

New OECD analysis reveals how people use GenAI chatbots across countries and demographics, using web traffic data from Similarweb.

Establishing the shared foundations for collective AI security

AI security, prompt injection, AI agents and model poisoning: building shared foundations for secure AI deployment.

Rethinking AI data: From scraping to sustainable and ethical data sharing

AI training data is scarce despite abundance. VIADUCT explores ethical data sharing, scraping limits, copyright, GDPR, trust and fairness for sustainable AI ecosystems.

To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle

Participatory AI often stops at consultation. Why governance infrastructure, community authority and lifecycle oversight are essential for trustworthy AI.

Can we create a clear understanding of what agentic AI is and does?

AI agents and agentic AI based on large language models are becoming more autonomous and capable of interacting with both physical and virtual environments. As the capabilities of these AI systems grow, they are gaining visibility, and with reason. It is reaching a point where they could become the

Deadline extension 20 March: Global call for ‘Governing with Artificial Intelligence’: Share your initiatives and insights on AI-driven innovation in government

OECD launches a Global Call for Governing with AI, inviting governments to share AI use cases, policy initiatives, and implementation tools to support trustworthy AI in public administration.

The OECD.AI Index (technical paper)

The OECD’s new responsible AI guidance: A compass for businesses in a complex terrain

OECD Due Diligence Guidance for Responsible AI helps businesses manage AI risks, meet global standards and build trustworthy AI value chains.

Venture capital investments in artificial intelligence through 2025

Trends in AI incidents and hazards reported by the media

Progress in Implementing the European Union Coordinated Plan on Artificial Intelligence (Volume 2)

Exploring possible AI trajectories through 2030

OECD releases Due Diligence Guidance for Responsible AI

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

Why insurance companies should encourage solid AI risk management instead of excluding it

AI is deployed in nearly every industry, and many associated risks are now sharply in focus. As these risks become more consequential, businesses look at insurance coverage. Yet, recent news shows that some major insurance providers, such as AIG, Great American, and WR Berkley, have recently sought

Can mid-sized economies come together to build frontier AI?

Mid-sized economies can preserve AI sovereignty through multinational cooperation, pooling talent and compute to reduce dependency on dominant AI powers.

Public AI: Policies for democratic and sustainable AI infrastructures

Public AI policies can support sustainable AI infrastructures through public compute, data commons and open-source model ecosystems.

Why quantum technologies need AI to succeed

Artificial intelligence accelerates quantum technologies in many ways, including through better error correction and scalable computing.

Facing the stakes of AI together: The Seventh Edition of the Athens Roundtable on AI and the Rule of Law

Policymakers, industry and civil society converge to address unacceptable risks, frontier AI governance and international AI cooperation

A Socio-technical approach to AI literacy: A quick guide

AI literacy goes beyond coding to include social context: this guide shows how to align technical skills, ethical awareness and human oversight for real-world AI readiness.

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

The geography of AI compute: Mapping what is available and where

Policymakers and industry leaders need to measure and map AI compute infrastructure to benchmark national readiness.

Rebuilding digital trust in the age of AI

Digital trust, AI governance and online safety: how to address deepfakes, misinformation and accountability.

From “black box AI” to operational AI transparency: How the HAIP Reporting Framework can play an important role in global AI governance

HAIP can play a crucial role in AI transparency. Voluntary reporting is more flexible and can evolve with AI technologies.

There are many ways to minimise water use related to AI operations, but they may not be what you think

AI is surging not just in popularity and investment, but also in its physical scale. Behind every chatbot query or AI-powered service are data centres that consume large amounts of electricity, generate significant heat, and need cooling to remain reliable. Many facilities rely heavily on water for

Quantum and AI: A powerful partnership for the next digital revolution

Quantum and AI together could drive the next digital revolution. Here are insights on opportunities, challenges, and future breakthroughs.

How are AI developers managing risks? Insights from responses to the reporting framework of the Hiroshima AI Process Code of Conduct

G7 AI transparency reporting: Ten insights for AI governance and risk management

Discover key insights from the G7 Hiroshima AI Process transparency reports on AI governance, risk management, safety, and accountability.

Identifying emerging AI technologies using patent data: A semi-automated approach

AI governance through global red lines can help prevent unacceptable risks

Global AI red lines are one way to set enforceable limits on dangerous AI uses and behaviours to prevent unacceptable risks and build trust.

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

Sovereign AI for assistive and public technologies: How policymakers can reinforce critical digital capacities

Sovereign AI and critical digital capacities can support assistive technologies, public services, and inclusive, resilient AI policy.

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.

When it comes to AI incidents, safety and security are not the same

There are several ways the OECD common reporting for AI incidents could play a role in cybersecurity.

When your AI knows you better than anyone: Privacy in the age of intimate assistants

Discover how intimate AI assistants reveal our innermost thoughts—and why strong privacy and policy safeguards are now essential to protect users.

How to govern AI in agriculture responsibly: risks, tools and solutions

Explore how robust AI governance—through privacy, transparency, and tools like federated learning and blockchain—can ensure ethical, trusted innovation in agriculture.

The HAIP Reporting Framework: Feedback on a quiet revolution in AI transparency

The findings reveal a picture that is both promising and complex, with lessons for the future of global AI governance.

Building a responsible AI future: How the G7 Hiroshima AI Process is enhancing responsible AI around the globe

Salesforce’s shares its experience with the G7 HAIP Transparency Reporting Framework.