17 – Scaling responsible AI solutions – Building an international community of practice and knowledge-sharing

This report marks the conclusion of the second year of the Scaling Responsible Artificial Intelligence Solutions (SRAIS) project, an initiative of the Responsible AI (RAI) working group of the Global Partnership on Artificial Intelligence (GPAI). In 2024 the project has grown in scope and impact, and has taken strides towards consolidating a global network of collaboration and knowledge-sharing. This network is focused not only on responsibility in the development of AI-based systems, but more uniquely on the intersection between scalability and responsibility. The process of scaling an AI-based application presents distinct challenges in terms of adherence to RAI principles. These include the need for responsible approaches to data and cultural integration in new places of operation; the risk of bias amplification as an application gains a larger and more diverse user base; the additional resource demands of responsible technical and operational expansion; the need to navigate varying legal and regulatory frameworks; and the imperative of assessing and mitigating the potential complex societal, developmental and environmental impacts of a given AI-based system in all of its intended use contexts.