{"id":20367,"date":"2025-10-06T09:44:32","date_gmt":"2025-10-06T07:44:32","guid":{"rendered":"https:\/\/www.thron.com\/?p=20367"},"modified":"2025-10-06T10:24:56","modified_gmt":"2025-10-06T08:24:56","slug":"ai-act","status":"publish","type":"post","link":"https:\/\/www.thron.com\/en\/blog\/insights\/ai-act\/","title":{"rendered":"AI Act: guide to labels, logs and governance"},"content":{"rendered":"\n

The AI Act<\/strong> is the European law<\/a> that regulates the use of artificial intelligence by risk level. It establishes what is prohibited, when more stringent requirements are needed, and introduces transparency<\/strong> obligations for content generated or modified by AI. It primarily concerns those who build, integrate, and govern digital platforms and processes in companies: IT<\/strong> teams, CIO<\/strong>s, and data & content governance<\/strong> managers. For them, the most important operational aspects are the traceability of AI-generated content, the quality of metadata, and a readable control system that documents how AI is used.<\/p>\n\n\n\n

\"AI<\/figure>\n\n\n\n

The law is already in force, but now the more operational rules come into play<\/strong>: informing and labeling AI-generated content, making its provenance traceable with consistent metadata, consciously choosing general purpose models (GPAI), and maintaining activity logs that demonstrate how AI operates on a daily basis.<\/p>\n\n\n\n

In this article, you’ll find practical information on: what changes for labels and watermarking<\/strong> of AI-created content, what metadata<\/strong> and logs<\/strong> are needed to demonstrate the origin<\/strong> and the audit trail<\/strong>, how to set up human monitoring<\/strong> and control<\/strong>, what the Italian AI Act<\/strong> provides, and what criteria to follow to choose the most suitable artificial intelligence models for your company.<\/p>\n\n\n\n

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