Review and analysis of different countries around the world as they consider the impact of AI on their national science systems
While Artificial Intelligence (AI) is increasingly involved in scientific advances, worries also arise about the reliability and traceability of the information and data generated by Large Langauge Models (LLMs), about authorship and intellectual property, about control over the development of AI technologies and the content they create and use.
There is broad recognition of the urgency to develop appropriate regulatory and institutional frameworks for the development and use of AI technologies in general, and for science and research specifically. Yet the extent to which these questions are being tackled at country level, and how, is unclear. Several initiatives by different international consortia of science and policy actors are emerging and championing different models of global governance. But these initiatives remain high-level and scattered, and their potential implications for national science systems are unclear.
There is therefore a collective need for national science systems to better prepare and adapt for AI, and to introduce frameworks – regulatory and others – that regulate the use of AI in science and research.
If we are to become proactive in preparing our science systems for AI, we must first clarify the state of the reflections on these issues in different countries around the world.
The project is funded through the IDRC grant aimed at exploring AI’s impact on science systems in the Global South.
Ongoing: You are invited to leave your feedback on the working paper, which will be reviewed and considered for the follow up edition due later in the year.
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