Authors:
Dominik Vereno
;
Katharina Polanec
and
Christian Neureiter
Affiliation:
Josef Ressel Centre for Dependable System-of-Systems Engineering, Salzburg University of Applied Sciences, Urstein Süd 1, 5412 Puch/Salzurg, Austria
Keyword(s):
Model-Driven Engineering, Domain-Specific Language, Risk Management, High-Risk AI Applications, Regulatory Compliance, Smart Grid.
Abstract:
In the evolving landscape of intelligent power grids, artificial intelligence (AI) plays a crucial role, yet its integration into critical infrastructure poses significant risks. The new EU AI Act, regulating such high-risk applications, introduces stringent requirements such as risk management and data governance. This study aims to harness the potential of model-based systems engineering (MBSE) for enabling compliance by design in smart grids, ensuring adherence to regulation from early development stages. Through a detailed analysis of the AI Act’s seven requirement for high-risk applications, the paper aligns them with established MBSE practices. The findings reveal MBSE as an effective tool for ensuring compliance, leading to three strategic recommendations: integrating mature disciplines into holistic MBSE approaches, establishing a broadly accepted AI modeling formalism, and creating a standardized model-based compliance assessment process. In conclusion, MBSE is a key enabler
for creating dependable and safe AI applications, offering a positive outlook for future smart grid developments that are innovative yet compliant by design.
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