|
|
DECISIONS
Vrba, Martin ; Magid, Václav (referee) ; Sterec, Pavel (advisor)
Presented work tries to reflect the structure of human world, which is able to create an overman as an artificial intelligence through its self-destructive tendency. It investigates the possibilities of our imagination and if we are able to think about artificial intelligence as a sui generis continuation of human species. Hand in hand it tries to create a tension between particular ethico-political decisions and subsequent binding structure, which they implies.
|
|
| |
|
| |
|
| |
|
|
Media representation of deepfake
Janjić, Saška ; Švelch, Jaroslav (advisor) ; Nečas, Vlastimil (referee)
This master thesis explores the media representation of deepfakes. The first part summarizes previous research followed by a comprehensive review of deepfakes, including the technology allowing for their emergence, current uses and methods of regulation and detection. The second part connects the phenomenon with important theoretical concepts such as social construction of reality and the crucial role of media in this process. The empirical part consists of research combining two methods - quantitative content analysis and qualitative critical discourse analysis. The research analysis is focused on media articles dealing with deepfakes in order to find out how the media represent this phenomenon. The results show that current media discourse of deepfakes is strongly negative as the media frame them as a security threat. This negative representation is highly speculative since journalists often invent their own stories of future disastrous consequences of the technology for national security due to lack of current examples. The findings show an apparent hierarchy of the harms posed by deepfakes which is present in media coverage, and reflects gender sereotypes and inequality in the current society. Harm in the form of non-consensual fake pornography targeting women is neglected in the media...
|
|
|
DECISIONS
Vrba, Martin ; Magid, Václav (referee) ; Sterec, Pavel (advisor)
Presented work tries to reflect the structure of human world, which is able to create an overman as an artificial intelligence through its self-destructive tendency. It investigates the possibilities of our imagination and if we are able to think about artificial intelligence as a sui generis continuation of human species. Hand in hand it tries to create a tension between particular ethico-political decisions and subsequent binding structure, which they implies.
|
|
| |
|
|
Analysis of Stock Exchange Data to UI Methods
Kutina, Michal ; Jelínek, Jiří (advisor) ; Dvořák, Pavel (referee)
The graduation thesis "Analysis of stock-exchange data using AI methods" is focused on the use of neural networks while predicating the exchange-rate movements on Change. The theoretical part is divided into three independent units. The Change matters and the related individual terms are described in the first part. In the second part, the two basic approaches to the stock-exchange data analysis are analyzed, these two approaches being the fundamental and technical analysis. The third, and the last, theoretical part forms an individual unit describing the Artificial Intelligence theory. Particularly the issue of the neuronal networks is described in detail. The practical part seeks the use for the chosen neuronal network GAME. It analyses the chosen YMZ9 market. It focuses on the prediction of the exchange-rate movements using the "sliding window" method. The last chapter summarizes the results and it proves that under certain circumstances it is possible to properly use the neuronal networks both for the prediction of the stock-exchange movements and as one of the corner-stones of the profitable trading system.
|
guest ::
