Consider ethical and social challenges in smart grid research
November 26, 2019 Β· Declared Dead Β· π Nature Machine Intelligence
"No code URL or promise found in abstract"
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Authors
Valentin Robu, David Flynn, Merlinda Andoni, Maizura Mokhtar
arXiv ID
1912.00783
Category
cs.CY: Computers & Society
Cross-listed
cs.AI
Citations
18
Venue
Nature Machine Intelligence
Last Checked
4 months ago
Abstract
Artificial Intelligence and Machine Learning are increasingly seen as key technologies for building more decentralised and resilient energy grids, but researchers must consider the ethical and social implications of their use
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