Steering open-source AI to accelerate the sustainable development goals

Chen, M., Wu, K., Pradhan, P., Allen, C., Nativi, S., Hubacek, K., Voinov, A., Creutzig, F., Filatova, T., Boers, N., Meadows, M., Ma, P., Biermann, F., Schellnhuber, H.J. ORCID: https://orcid.org/0000-0001-7453-4935, Ludden, J., Paradiso, M., Batty, M., Guo, H., Cao, M., Hou, P., et al. (2026). Steering open-source AI to accelerate the sustainable development goals. Nature Communications 17 (1) e4959. 10.1038/s41467-026-73866-8.

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Abstract

While the artificial intelligence (AI) revolution is advancing rapidly, the open-source paradigm offers key pathways and potential risks for accelerating progress towards the Sustainable Development Goals and beyond. This comment introduces four governance actions that consider how sustainability, evaluation, safety, and cooperation can be integrated into the transformation of open-source AI, thereby reducing uncertainties and challenges posed by open-source AI for sustainable global prosperity.

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