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Interpretable deep-learning models to help achieve the Sustainable Development Goals

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Acknowledgements

The authors acknowledge V. Dignum for her insightful comments on this manuscript. R.V. acknowledges the financial support from the Swedish Research Council (VR).

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Authors and Affiliations

  1. FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden

    Ricardo Vinuesa

  2. AI Sustainability Center, Stockholm, Sweden

    Ricardo Vinuesa

  3. Smart Cities, School of Creative Technology, Saxion University of Applied Sciences, Enschede, The Netherlands

    Beril Sirmacek

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  1. Ricardo Vinuesa
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  2. Beril Sirmacek
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Correspondence to Ricardo Vinuesa.

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Vinuesa, R., Sirmacek, B. Interpretable deep-learning models to help achieve the Sustainable Development Goals. Nat Mach Intell 3, 926 (2021). https://doi.org/10.1038/s42256-021-00414-y

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