Alessandro Del Ninno
Conferences
The AI Act and the Italian Artificial Intelligence Law (Law No. 132/2025): general rules and sector-specific applications in the Banking and Insurance domains.
Lecture at the Conference “Applications of Artificial Intelligence in the Banking, Financial and Insurance Sectors” – organised by Optime S.p.A. – Rome, 25 November 2025.
25/11/2025
The AI Act and the Italian Artificial Intelligence Law (Law No. 132/2025): general rules and sector-specific applications in the Banking and Insurance domains.

The conference “Applications of Artificial Intelligence in the Banking, Financial and Insurance Sectors” provided a concise and practice-oriented overview of the impact of the AI Act and the Italian Artificial Intelligence Law No. 132/2025 on regulated industries. The event, organised by OPTIME–Paradigma, examined the regulatory and technical implications of AI in banking, financial and insurance services, with specific focus on fraud detection, credit scoring, suitability assessment, IRB risk-modelling, as well as on AI practices within the insurance sector and the related EIOPA and IVASS guidelines. The conference adopted a strong compliance-oriented approach, highlighting organisational and technical safeguards required from market operators.

 

In his introductory presentation, Attorney Alessandro Del Ninno provided a systematic overview of the regulatory framework established by the AI Act and Law No. 132/2025, addressing the scope of application, the classification of AI systems and general-purpose AI models, risk-based criteria, and the obligations imposed on providers and deployers. He referred to the Commission’s interpretative tools (Living Repository and FAQs) and clarified the requirements, prohibitions and protective measures applicable to high-risk AI systems, as well as the obligations relating to limited-risk systems. He further analysed the role and powers of the competent authorities, the sanctioning regime and the AI Pact, outlining the organisational consequences for intermediaries. By linking the regulatory framework with concrete AI use cases in banking and financial services, he highlighted the main operational implications in terms of governance, data management, transparency and accountability.