2026-07-26T02:54:53Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:22749 2025-10-02T11:25:52Z ddc:004 open_access

Introducing an AI Governance Framework in Financial Organizations. Best Practices in Implementing the EU AI Act (Practitioner Track) Genovesi, Sergio AI Governance EU AI Act Gap Analysis Risk Management AI Risk Assessment To address the challenges of AI regulation and the EU AI Act’s requirements for financial organizations, we introduce an agile governance framework. This approach leverages existing organizational processes and governance structures, integrating AI-specific compliance measures without creating isolated processes and systems. This framework combines immediate measures to address urgent AI compliance cases with the development of a broader AI governance. It starts with an assessment of requirements and risks, followed by a gap analysis; after that, appropriate measures are defined and prioritized for organization-wide execution. The implementation process includes continuous monitoring, adjustments, and stakeholder feedback, facilitating adaptability to evolving AI standards. This procedure guarantees not only adherence to current regulations but also positions organizations to be well-equipped for prospective regulatory shifts and advancements in AI applications. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Sergio Genovesi 2025 Is Part Of OASIcs, Volume 126, Symposium on Scaling AI Assessments (SAIA 2024) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SAIA.2024.9 urn:nbn:de:0030-drops-227496 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SAIA.2024.9 eng https://creativecommons.org/licenses/by/4.0/legalcode