This thesis re-examines the internship experience at Xifram PrivacyStudio, during which a project was carried out to create a multi-agent artificial intelligence system that automates the anonymisation processes of corporate legal documents and verifies their compliance with the GDPR and the balance of responsibilities between the data controller and processor. The theoretical foundations of LLM are also provided to aid understanding of the topics covered.
In questa tesi viene ripercorsa l'esperienza di stage presso Xifram PrivacyStudio attraverso la quale è stato realizzato il progetto di creazione di un sistema di intelligenza artificiale multi agente che automatizzi i processi di anonimizzazione dei documenti legali aziendali e ne verifichi l'aderenza al GDPR e il bilanciamento degli oneri tra responsabile e titolare del trattamento dei dati personali. Vengono inoltre fornite le basi teoriche relative agli LLM per comprendere gli argomenti trattati.
Development of a multi-agent system for the optimisation of corporate compliance processes
GROSSI, LORENZO
2024/2025
Abstract
This thesis re-examines the internship experience at Xifram PrivacyStudio, during which a project was carried out to create a multi-agent artificial intelligence system that automates the anonymisation processes of corporate legal documents and verifies their compliance with the GDPR and the balance of responsibilities between the data controller and processor. The theoretical foundations of LLM are also provided to aid understanding of the topics covered.| File | Dimensione | Formato | |
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tesi_Grossi_Lorenzo_pdf_a.pdf
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https://hdl.handle.net/20.500.12608/87136