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This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

AI-based production of content: obstacles, threats, and opportunities

Nicolas, Guillaume ; Martins Da Silva, Manuel
(2021)

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MartinsdaSilva_39461600_Nicolas_06651600_2021.pdf
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Details

Supervisors
Belleflamme, Paul
Faculty
Louvain School of Management
Degree label
Master [120] : ingénieur de gestion, à finalité spécialisée
Abstract
This master's thesis aims to answer the research question "What are the obstacles, threats and opportunities for AI-based companies generating content?". This research aims to provide direct implications to managers and regulators evolving in the field of AI-based content creation. This qualitative research is based on interviews involving different market players, as well as on the description of two representative business models of companies. After having drawn up the challenges in terms of authorship on the outputs generated by these companies, we then draw up the challenges related to the inputs such as the construction of the dataset. The value disruption of these business models is then brought before addressing the unfair competition that may be involved. Finally, general ethical considerations are raised.

Citations

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Nicolas, G., & Martins Da Silva, M. (2021). AI-based production of content: obstacles, threats, and opportunities. https://dial-mem.test.bib.ucl.ac.be/handle/2078.2/23789