Original title: Vysvětlení etické konvergence: Případ umělé inteligence
Translated title: Explaining Ethics Convergence: The Case of Artificial intelligence
Authors: Miotto, Maria Lucia ; Špelda, Petr (advisor) ; Střítecký, Vít (referee)
Document type: Master’s theses
Year: 2020
Language: eng
Abstract: Maria Lucia Miotto Master Thesis Abstract in English Although more and more works are showing convergence between the many documents regarding the ethics of artificial intelligence, none of them has tried to explain the reasons for this convergence. The thesis here proposed is that the diffusion of these principles is due to the underlying action of an epistemic community that has promoted the spread and the adoption of these values. Then, through network analysis, this thesis describes the AI ethics epistemic community and its methods of value diffusion, testing for the most effective. Then, to test the first result, two case studies, representative of political opposites, the United States and the People Republic of China have been analysed to see which method of diffusion has worked the most. What seems evident is that scientific conferences remain a primary factor in the transmission of knowledge. However, particular attention must also be given to the role played by universities and research labs (also those of big tech-companies) because they have revealed to be great aggregators for the epistemic community and are increasing their centrality in the network.
Keywords: artificial intelligence; epistemic community; ethics of AI; network analysis; technology; artificial intelligence; epistemic community; ethics of AI; network analysis; technology

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/118749

Permalink: http://www.nusl.cz/ntk/nusl-415257


The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses