03554ntm a22005177i 4500 000701272 CZ-PrVSE 20231021093613.0 m d cr n|||||||||| 231021s2023 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Douda, Matyáš ISIS:128447 dis Stroje a rasismus - Stanovení moderních etických standardů pro umělou inteligenci eng Machines and racism : Setting modern ethical standards for artificial intelligence Matyáš Douda 2023 ?? stran : digital, PDF soubor Vedoucí práce: Miroslav Vacura Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2023 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2023 This master's thesis aims to achieve three goals. Support discussions for talks about AI regulations with the state of art data, analyze what is the current state of laws in the largest countries of the world, with the hypothesis being that it is critical and help create classification methods for AI-related definitions, as it is lacking. The reader will get the theoretical basis of AI-related topics from the basics to use cases and the most recent important topics, along with an explanation that AI is a positive thing that, however, needs to be regulated. Afterward, racism will be introduced from two points of view. It will start with classic racism between humans, as human-made data with all of its biases can later be used as a source for a model. Emphasis will be made on why people are racist and what are the positive effects of restraining racism. It will be followed by an introduction to why AI can be considered racist and different kinds of bias that can come into play during all phases of its development and operation. At the end of the theoretical part, two real-life cases of AI racism will be introduced to solidify further the need to create rulesets that will address new challenges caused by the technology. In the practical part of the paper, I analyze AI laws and white papers to inspect how much they meet the conditions set up by the theory of this paper. In conclusion, the hypothesis of a troubling state of the matter has not been accepted, albeit room for improvement has been found, and recommendations have been given. Způsob přístupu: Internet kognitivní informatika [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Ehics Law Artificial Intelligence Racism Bias Vacura, Miroslav mzk2006343245 ths Špecián, Petr uk2016909540 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/82608/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/82608 Hlavní práce https://insis.vse.cz/zp/82608/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/82608/posudek/oponent/79900 Oponentura https://insis.vse.cz/zp/82608/podrobnosti dc:identifier NEPOSILAT VSKP vse82608 231005 82608