CYAINov 26, 2019

Consider ethical and social challenges in smart grid research

arXiv:1912.00783v119 citations
Originality Synthesis-oriented
AI Analysis

It raises awareness for researchers in energy and AI fields about potential societal impacts, but it is incremental as it focuses on existing concerns rather than new solutions.

The paper addresses the need to consider ethical and social challenges in smart grid research, highlighting that AI and ML are key for decentralized and resilient energy grids but require careful integration of these implications.

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

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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