04932ntm a22005417i 4500 000725197 CZ-PrVSE 20251207104409.0 m d cr n|||||||||| 251207s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Shakeel, Zarafshan ISIS:180245 dis Důsledky umělé inteligence v oblasti správy informací eng Implications of AI in Information Management / Zarafshan Shakeel 2025 ?? stran : digital, PDF soubor Vedoucí práce: Antonín Pavlíček Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby This thesis is an inquiry into the ethical dilemmas of artificial intelligence (AI) in information management, where AI adoption in systems is occurring amid increasingly complex ethical, technological, and regulatory issues. A mixed-methods research design was used, combining 20 professionals' qualitative interviews with a large-scale survey to provide a clearer view of AI acceptance than the interviews alone. A research paper indicated that it is necessary to understand the extent to which ethical principles such as transparency, fairness, accountability, explainability, and data privacy can be upheld in an automated, algorithmic decision-making world that is gradually taking over. The thematic analysis of interview data produced six main themes: (1) AI-assisted efficiency and decision making support; this theme was represented by processing workflow and data-driven insights; (2) the need of human supervision where it was pointed out that AI cannot take the place of the professional's judgment; (3) XAI as the fundamental criterion for establishing trust and accountability; (4) data privacy and governance risks, especially concerning the GDPR compliance, consent, data leakage, and unauthorized access; (5) trustworthiness and risk reduction with the following dangers considered: biased datasets, hallucinations, opaque model behavior and system vulnerabilities; and (6) organizational preparedness including skill deficits, training requirements and structural readiness for the responsible AI deployment. The quantitative results confirmed these themes and showed that the areas of concern overlapped with issues of transparency, data security, model fairness, and the absence of transparent internal AI governance, all of which were deemed the most serious. The study relying on these insights puts forward an all-inclusive Ethical AI Governance Framework for Information Management that combines technical protective measures (like encryption, anonymization, explainability techniques, continuous monitoring, and role-based access controls) with measures of the organization (policy development, employee training, accountability structures, and ethical review processes). Moreover, the framework is in accordance with GDPR requirements and forthcoming EU AI regulations, thereby ensuring that the proposed practices comply with both ethical and legal standards. In general, the research concluded that AI had a major impact on information management, but it also raised an ethical issue that needed to be handled via a combination of technological solutions, clear governance mechanisms, human supervision, and ongoing professional training that is ongoing. These conclusions provide very practical advice for different groups (like organizations, researchers, and policymakers) that are trying to make sure that AI use in information-heavy environments is responsible, transparent, and secure. Způsob přístupu: Internet management of business informatics [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Artificial Intelligence (AI) Information Management Ethical Implications Explainable AI (XAI) Data Privacy AI Governance Algorithmic Bias Pavlíček, Antonín, 1977- vse2008429995 ths Sudzina, František ISIS:137922 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/89961/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/89961 Hlavní práce https://insis.vse.cz/zp/89961/priloha/32879 Přiloha k práci https://insis.vse.cz/zp/89961/podrobnosti dc:identifier NEPOSILAT VSKP vse89961 251202 89961