The role of generative AI in global diplomatic practice and negotiation: the deepfakes dilemma
Moras, Giulia (A.A. 2024/2025) The role of generative AI in global diplomatic practice and negotiation: the deepfakes dilemma. Tesi di Laurea in Analysis of diplomatic practices and networks, Luiss Guido Carli, relatore Pasquale Ferrara, pp. 119. [Master's Degree Thesis]
|
PDF (Full text)
Restricted to Registered users only Download (3MB) | Request a copy |
Abstract/Index
Digital diplomacy: navigating international relations and diplomatic practice in the AI era. Understanding diplomacy and its practice in the digital age: a theoretical framework. The interplay between diplomacy and technology: a historical journey through innovation. AI-powered diplomacy: harnessing artificial intelligence for strategic negotiations and decision-making. Artificial intelligence: a new tool for diplomats in modern diplomacy. The integration of AI tools in diplomatic practice and negotiation: benefits and opportunities. Navigating the challenges of AI’s integration in diplomatic practice. Diplomacy in the age of AI: the deepfakes dilemma. Understanding deepfakes: definition, evolution and technological sophistication. The deepfakes dilemma. Deepfakes: risks and challenges for international relations and diplomatic practice. Unmasking deepfakes: examining approaches to detection. Diplomacy in the AI era: regulating generative AI and deepfakes. AI governance: why is it necessary? Current AI regulatory landscape.
References
Bibliografia: pp. 108-118.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in International Relations (LM-52) |
| Chair: | Analysis of diplomatic practices and networks |
| Thesis Supervisor: | Ferrara, Pasquale |
| Thesis Co-Supervisor: | Valeriani, Manfredi |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Additional Information: | Tesi discussa all'estero. |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 29 Jan 2026 15:20 |
| Last Modified: | 29 Jan 2026 15:20 |
| URI: | https://tesi.luiss.it/id/eprint/44720 |
Downloads
Downloads per month over past year
Repository Staff Only
![]() |
View Item |



