| Abstract [eng] |
Artificial intelligence-driven algorithmic systems are operating at full capacity in various professional sectors and thus giving more efficient work results. The algorithmic writer is increasingly invading the literary world and changing the nature and specifics of the field of art itself quite rapidly, and with it the perception of the value of the author and the work itself and the creator's relationship with the work. The object of the master's thesis is the data obtained after the algorithmic reflection of the annotations of the “National Novel Generation Month” projects. The aim of the work is to investigate the most important aspects of algorithmic reflection of algorithmic writer projects. The raised tasks are aimed to find out the main features of the artificial intelligence and algorithmic system, the applicability of these systems and the expected perspectives. The value of the work of an algorithmic writer and the role of authorship in the joint works of the developer and the algorithm are analyzed in detail, the functioning of algorithmic consciousness and the specifics of machine learning are refined. In the research part, the annotations of the project “NaNoGenMo” are analyzed by using quantitative measures to determine: the developer's attitude (provisions) towards the performed projects; cognition / non-noncognition ratio; the degree of complexity of the task at hand; the ability to describe the problem by textual means and the nature of incomplete artificial intelligence projects. The study is based on the discrete reading methodology of literary historian and theorist Franco Morreti, where algorithmic tools convert text into data that is then interpreted. The study concludes that project annotations are much more prone negative attitude towards the project that is being carried out, which may be most affected by technical difficulties. An examination of the cognition / non-cognition ratio revealed that the developers are familiar with their project, but in 2016–2017 period, the developers start having doubts and non-cognitions in relation to the work performed; according to the readability analysis, it was investigated that the texts of project annotations are equal to the perception of a 8th-9th grade student, which testifies to the close relationship of the creator with the text. The analysis of the possibility of textual expression showed that the time adverbs used to illustrate the developers priority to acquaint the audience with the project in detail, and the more frequent use of adjectives indicates the developers hesitation and reduced connection with the work. After analyzing unfinished artificial intelligence projects, it was investigated that these are mostly projects of horror, mysticism and nonsense genres and the most common feature of an unfinished project is the absence of any idea and its refinement only in the course of project creation. The final master's thesis consists of 2 parts: theoretical, which deals in detail with the specifics of artificial intelligence and algorithm from a philosophical point of view and the operation of these systems, and practical, which examines the most important aspects of algorithmic reflection of algorithmic writer's projects. |
