Consider ethical and social challenges in smart grid research

TL;DR

This paper emphasizes the importance of addressing ethical and social challenges in the development and deployment of AI and ML technologies within smart grid research to ensure responsible innovation.

Contribution

It highlights the need to incorporate ethical and social considerations into smart grid AI research, an area often overlooked in technical studies.

Findings

Ethical considerations are crucial for responsible AI deployment in smart grids.

Social implications impact public acceptance and policy development.

Integrating ethics can improve trust and resilience in energy systems.

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