Artificial intelligence and machine learning are increasingly seen as key technologies for building more decentralized and resilient energy grids. However, researchers must consider the ethical and social implications of these developments.
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The authors would like to acknowledge the support of the UK Research Councils through the CESI projects CESI (EP/P001173/1), CEDRI (EP/R008655/1), NCEWS (KTP:510925) and Reflex (InnovateUK: 104780).
The authors declare no competing interests.
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Robu, V., Flynn, D., Andoni, M. et al. Consider ethical and social challenges in smart grid research. Nat Mach Intell 1, 548–550 (2019). https://doi.org/10.1038/s42256-019-0120-6