The assessment obligations for use of personal data and artificial intelligence in business enterprises
Cagnucci Vasqyez, Antonio (A.A. 2024/2025) The assessment obligations for use of personal data and artificial intelligence in business enterprises. Tesi di Laurea in Business cyberlaw, Luiss Guido Carli, relatore Eugenio Prosperetti, pp. 62. [Bachelor's Degree Thesis]
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Abstract/Index
Technical foundations of AI and the strategic role of personal data. Artificial intelligence in contemporary business contexts. Core AI technologies relevant for legal and business analysis. Personal data as the foundation of contemporary AI systems. From technical risk to societal impact: why impact assessments become necessary. AI impact assessments as a tool for responsible AI governance. From ex post enforcement to ex ante governance: the evolution of EU digital regulation. Impact assessments as instruments of preventive governance in EU digital law. The risk-based regulatory architecture of the AI Act. Ai impact assessments as instruments of EU regulatory governance. Comparative perspectives on AI governance and impact assessment mechanisms. AI governance in the United States. China: state-centric and preventive AI governance. Other Asian approaches: Japan and Singapore (soft governance). International and transnational AI governance frameworks. Comparative synthesis: what makes the EU model distinct. Innovation vs protection in AI regulation. The innovation–protection tension. Risks of over-regulation. Risks of weak protection. Finding a middle ground. Impact assessments as an enabler of responsible innovation.
References
Bibliografia: pp. 60-62.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Business cyberlaw |
| Thesis Supervisor: | Prosperetti, Eugenio |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 30 Jul 2026 12:22 |
| Last Modified: | 30 Jul 2026 12:22 |
| URI: | https://tesi.luiss.it/id/eprint/46601 |
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