20.500.12556/RUL-154924 Transparentnost in etika sistemov algoritemskega odločanja doktorska disertacija Transparency and ethics of algorithmic decision-making systems Doktorska disertacija raziskuje problem transparentnosti, ki v kontekstu umetne inteligence (UI) označuje sklop izzivov, ki izhajajo iz dejstva, da kompleksni algoritemski sistemi strojnega učenja ne delujejo transparentno, in sicer v smislu, da ljudje ne moremo razumeti razlogov, na podlagi katerih takšni sistemi sprejmejo neko odločitev. Disertacija je razdeljena na tri poglavja. V prvem poglavju predstavimo širši kontekst, v katerem se v UI vpenja problem transparentnosti, ter raziščemo, zakaj do problema prihaja in ali lahko upravičeno pričakujemo, da bodo vsi sistemi UI kdaj delovali transparentno. V drugem poglavju razvijemo genealogijo pojma ‚transparentnost‘, pri čemer se osredotočimo predvsem na analizo njegove moralne konotacije in ovrednotenje ideala transparentnosti, ki zaznamuje sodobno družbo. Poleg tega v drugem poglavju podrobneje predstavimo in kritično ovrednotimo tri pomembne dokumente, ki navajajo etične smernice za uporabo UI in predlagajo pravno ureditev področja. V tretjem poglavju iz rezultatov prvih dveh poglavji izpeljemo pet ključnih trditev in formuliramo kriterij za presojanje možnosti etične uporabe nerazložljivih sistemov UI. In this PhD thesis we explore the problem of transparency, which in the context of artificial intelligence (AI) refers to a set of challenges arising from the fact that complex algorithmic machine learning systems do not operate transparently, which is to say that humans cannot understand the reasons behind the decisions made by such systems. The thesis is divided into three chapters. In the first chapter, we provide the broader context in which the problem of transparency becomes part of AI and explore why the problem arises and whether we can reasonably expect all AI systems to ever operate transparently. In the second chapter, we develop a genealogy of the concept of ‚transparency‘ through analysing its moral connotation and evaluating the ideal of transparency that characterises contemporary society. In this chapter, we also present in more detail and critically evaluate three important documents that provide ethical guidelines for the use of AI and propose legal regulation in the field. In the third chapter, we draw five key claims from the results of the first two chapters and provide a criterion for assessing the possibility of ethical use of unexplainable AI systems. umetna inteligenca transparentnost razložljivost algoritmi strojno učenje etika artificial intelligence transparency explainability algorithms machine learning ethics true false false [J. Miklavčič] Slovenski jezik Angleški jezik Doktorsko delo/naloga 2024-03-08 13:45:08 2024-03-08 13:45:12 2024-03-14 14:37:29 0000-00-00 00:00:00 2024 0 Ljubljana 0 Ljubljana IX, 259 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.89:17(043.3) 29848 188599299 5523.pdf 5523.pdf 1 ADE5B3066442A4212E39E522E9A1B8B6 aa52776cce5ba8272f368f9cb7d4de9a5f1b7e1bdc3df327a6bd69dc06a697e2 b4687ad6-dd49-11ee-b35c-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=181579 Teološka fakulteta 0 0 0