Enhancement of antitrust procedures automation and analysis through legal informatics
Capitanini, Novella (A.A. 2021/2022) Enhancement of antitrust procedures automation and analysis through legal informatics. Tesi di Laurea in Innovation law and regulation, Luiss Guido Carli, relatore Fabiana Di Porto, pp. 158. [Single Cycle Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
How can legal informatics benefit antitrust law? How new technologies are changing the practice of law: artificial intelligence and its impact on legal technology. The rise of computational law. Some examples of computational algorithmic and AI techniques applied to the antitrust realm. Critical reflections on the legality and ethics of data collection and processing practices. A new domain of legal informatics: computational antitrust. An exploration of computational antitrust. Emerging markets characteristics. What competitive problems may arise in digital markets and more generally in today’s markets? How can this new branch help in the field of competition: possible effects of synergy between humans and computational methods. Limits and challenges posed by computational antitrust. Critical reflections on the legality of computational antitrust tools. The future of computational antitrust: can computational antitrust to succeed? The implementation of computational antitrust measures by agencies: practical examples. General and concluded reflections on reported cases. The Italian backdrop and the applicability of computational antitrust: restrictions and challenges. What potential conflicts with other regulations on the application of computational antitrust?
References
Bibliografia: pp. 147-157.
| Thesis Type: | Single Cycle Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Single Cycle Master's Degree Programs > Single Cycle Master's Degree Program in Law (LMG-01) |
| Chair: | Innovation law and regulation |
| Thesis Supervisor: | Di Porto, Fabiana |
| Thesis Co-Supervisor: | Ciacci, Gianluigi |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 23 Jan 2023 14:09 |
| Last Modified: | 23 Jan 2023 14:09 |
| URI: | https://tesi.luiss.it/id/eprint/34674 |
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