This work introduces the formal framework DLRisk, based on Defeasible Deontic Logic, for assessing how fundamental rights are balanced under the EU AI Act when new systems are developed. This approach enables qualitative, scenario-aware reasoning by ordering rights, capturing demotions triggered by factual conditions, and detecting collisions between rights and deployment contexts. The result is an explainable assessment of trade-offs that supports compliance analysis and risk mitigation.

Ferrigno, B., Billi, M., Yousefi, Y., Rotolo, A. (2025). Normative Risk Assessment in the AI Act. IOS Press BV [10.3233/FAIA251619].

Normative Risk Assessment in the AI Act

Ferrigno B.;Billi M.;Yousefi Y.;Rotolo A.
2025

Abstract

This work introduces the formal framework DLRisk, based on Defeasible Deontic Logic, for assessing how fundamental rights are balanced under the EU AI Act when new systems are developed. This approach enables qualitative, scenario-aware reasoning by ordering rights, capturing demotions triggered by factual conditions, and detecting collisions between rights and deployment contexts. The result is an explainable assessment of trade-offs that supports compliance analysis and risk mitigation.
2025
Frontiers in Artificial Intelligence and Applications
395
397
Ferrigno, B., Billi, M., Yousefi, Y., Rotolo, A. (2025). Normative Risk Assessment in the AI Act. IOS Press BV [10.3233/FAIA251619].
Ferrigno, B.; Billi, M.; Yousefi, Y.; Rotolo, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1043691
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