The OECD.AI Policy Navigator

Our policy navigator is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse initiatives and find what you are looking for.

ROBUST


Added by:   National contact point
Added on:   01 Oct 2025
Updated by:   OECD analyst
Updated on:   25 Dec 2025

The ROBUST consortium, initiated in 2022, is a 10-year research project focusing on reliable and trustworthy AI. Comprising 54 partners in AI labs, including knowledge institutions, private companies, and civil society organisations, ROBUST aims to enhance AI systems across five dimensions: accuracy, reliability, repeatability, resilience, and safety. It seeks to formalize AI reliability through contracts and develop methods to foster trust in AI systems.

Name in original language

-

Initiative overview

The ROBUST consortium, which began in 2022, is a major European research effort spanning ten years that is designed to strengthen the reliability and trustworthiness of AI systems. With 54 partners drawn from universities, research institutions, industry, and civil-society organizations, the initiative brings together a wide spectrum of expertise. Its goal is to improve AI across five core dimensions: accuracy, reliability, repeatability, resilience, and safety. One important strand of work is to formalize notions of reliability in AI using flexible contracts or guarantees, so that users and developers can trust behaviour in changing environments. The consortium also develops methods, tools, and frameworks aimed at building trust—for instance by making AI decisions more interpretable, robust to faults, and verifiable.

Name of responsible organisation (in English)

Dutch Research Council

About the policy initiative


Organisation:

  • Dutch Research Council

Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • Networks, communities of practice, ecosystem-building efforts and collaborative platforms

Status:

  • Active

Start Year:

  • 2022

Binding:

  • Non-binding

Other relevant urls: