Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid
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Abstract (arXiv)
The emergence of artificial intelligence and digitization of the power grid introduced numerous effective application scenarios for AI-based services for the smart grid. Nevertheless, adopting AI in critical infrastructures presents challenges due to unclear regulations and lacking risk quantification techniques. Regulated and accountable approaches for integrating AI-based services into the smart grid could accelerate the adoption of innovative methods in daily practices and address society's general safety concerns. This paper contributes to this objective by defining accountability and highlighting its importance for AI-based services in the energy sector. It underlines the current shortcomings of the AI Act and proposes an approach to address these issues in a potential delegated act. The proposed technical approach for developing and operating accountable AI-based smart grid services allows for assessing different service life cycle phases and identifying related accountability risks.
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References · 13
- 2020Challenges in Deploying Machine Learning: a Survey of Case Studiescited by 151
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- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
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- 2021Designing Accountable Systemscited by 7
- 2023Responsible Design Patterns for Machine Learning Pipelinescited by 4
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