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Steering open-source AI to accelerate the sustainable development goals
Leveraging the opportunities offered by AI for SDGs is both desirable and feasible. Recent innovations signal a transition toward an open-source paradigm8, aligning with the more accessible and adaptable solutions of the SDGs. Furthermore, they enable localized modeling of the SDGs and foster global collaboration in SDG modeling and policy-making. The transition toward the open-source paradigm promotes the dissemination of knowledge and the iterative refinement of SDG modeling, which involves mathematical, statistical, and/or computational approaches for analyzing and projecting SDGs (e.g., SDG interaction analysis and scenario simulation)12. Through open access to algorithms and collaborative development environments, this paradigm enables rapid model iteration in response to emerging SDG challenges, such as epidemics, natural disasters, or conflicts, thereby generating faster and more reliable insights into future SDG trends. The ability to host open-weight AI models on highly optimized, dedicated infrastructure enables speeds of over 179 tokens per second (versus 138 for a proprietary AI model)13, which is an advantage for latency-sensitive applications addressing SDG challenges in specific regions. In the environmental dimension of SDGs, open-source natural language processing models like ChatClimate are being developed to respond exclusively with validated scientific knowledge, which contributes to mitigating the risk of climate misinformation14. In the...
