Governing the algorithm: profiling risks and defense opportunities in the new EU legal framework

Piccirilli, Matteo (A.A. 2024/2025) Governing the algorithm: profiling risks and defense opportunities in the new EU legal framework. Tesi di Laurea in Privacy in the digital world, Luiss Guido Carli, relatore Antonio Cilento, pp. 83. [Master's Degree Thesis]

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Abstract/Index

«Data» and European data protection regulations. The definition of «data» between legal and technical notions and the distinction from non-personal data. The expansive notion of personal data in the GDPR, anonymization techniques and special categories. Principles of processing, legal bases and the rights of data subjects. Key actors in data processing: roles, responsibilities and the principle of accountability. The European strategy for data: the regulatory framework beyond the GDPR. The intersection between data protection and cybersecurity: NIS2 and the cyber resilience act. The national framework: the privacy code and the Italian data protection authority. Major case law coordinates from the Court of justice of the European Union (Breyer, Nowak, Google Spain, Schrems II). The contribution of artificial intelligence to the management and control of personal data. The EU regulatory framework on artificial intelligence and its interplay with the GDPR. Artificial intelligence as a tool for regulatory compliance and data governance. Profiling and automated decision-making under article 22 GDPR: risks and safeguards. Technical standards, accountability and the role of human oversight. Pathology and reaction–the legal framework of data breaches, cybersecurity resilience and AI-driven defense. The data breach: definition, notification, and the evolution of liability. From compliance to resilience: NIS2, CRA and the «state of the art». The health service executive (HSE) Conti ransomware attack: facts, failures and systemic lessons. Artificial intelligence in cybersecurity: from governance to warfare.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Privacy in the digital world
Thesis Supervisor: Cilento, Antonio
Thesis Co-Supervisor: Laura, Luigi
Academic Year: 2024/2025
Session: Extraordinary
Deposited by: Alessandro Perfetti
Date Deposited: 01 Jul 2026 15:40
Last Modified: 01 Jul 2026 15:40
URI: https://tesi.luiss.it/id/eprint/46286

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