Consider ethical and social challenges in smart grid research

Valentin Robu; David Flynn; Merlinda Andoni; Maizura Mokhtar

doi:10.1038/s42256-019-0120-6

Consider ethical and social challenges in smart grid research

Valentin Robu
, David Flynn
, Merlinda Andoni
, Maizura Mokhtar

Research output: Contribution to journal › Article › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	548-550
Number of pages	3
Journal	Nature Machine Intelligence
Volume	1
Issue number	12
Early online date	25 Nov 2019
DOIs	https://doi.org/10.1038/s42256-019-0120-6
Publication status	Published - Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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title = "Consider ethical and social challenges in smart grid research",

abstract = "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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JO - Nature Machine Intelligence

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Consider ethical and social challenges in smart grid research

Abstract

UN SDGs

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