A framework for industry commitment – Public disclosure of AI systems can improve transparency and accountability.
One possible model is the environmental, social and governance (ESG) framework. An AI equivalent could involve impact assessments throughout the AI life cycle and detailed explanations by developers of how AI systems function. Once shared standards have been established, certification could shift from voluntary to mandatory reporting, supported by measures to oversee compliance.
Shared digital public infrastructure – A global shared facility, for example following the CERN model, can provide equitable access to AI infrastructure. Governments can also collaborate with the private sector through public–private partnerships to expedite the development of digital public infrastructure (DPI) for AI in local innovation ecosystems. Tailored DPI systems can offer essential resources and services to support AI adoption and development.
Open innovation – Open innovation models, such as open data and open source, can democratize knowledge and resources to foster inclusive AI innovation. The international community can benefit from coordinating and harmonizing the valuable but fragmented open-source AI resources worldwide. Connected and interoperable repositories with common standards can enhance the global knowledge base and improve access through trusted hubs that ensure quality and security.
A global hub – An AI-focused centre and network modelled, for example, on the United Nations Climate Technology Centre and Network, can function as a global hub for building AI capacity, facilitating technology transfer and coordinating technical assistance to developing countries.
South–South collaboration – Strengthening South– South cooperation in science and technology, through building regional innovation hubs and expert networks, can contribute to enhancing the capacity of developing
countries to address common AI challenges. Provisions for AI technology and services could be included in existing trade agreements, while regional institutions can assist in sharing best practices and developing coherent AI policies.