Наредни састанак Семинара биће одржан онлајн у среду, 17. децембра 2025. са почетком у 19 часова.
Предавач: Dr. Irena Vodenska, Professor, Administrative Sciences Department, Metropolitan College, Boston University, USA; Visiting Professor, Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, N. Macedonia
Наслов предавања: WHEN AI GOES WRONG: TAXONOMY AND FINANCIAL IMPACT OF SYSTEMIC FAILURES IN GENERATIVE MODELS
Апстракт: The rapid deployment of large language models (LLMs) across sectors has amplified concerns about systemic failures that generate not only technical errors but also legal, ethical, and financial harm. This paper analyzes real-world incidents involving LLMs and other generative AI systems, with a particular focus on cases that result in measurable financial consequences. Drawing on a curated news-based dataset of more than fifty AI incidents, we develop a structured framework that links concrete failure modes, such as hallucinations, reasoning errors, bias and discrimination, privacy and security failures, operational misuse, and insecure code generation, to ten categories of financial loss, including legal liability, regulatory fines, market loss, and reputational damage. We further classify incidents by industry domain (e.g., law, healthcare, news, academia, social impact, AI services), revealing distinct sectoral risk patterns and pathways from technical flaws to downstream harm. Building on this analysis, we propose a taxonomy of systemic failures and an associated catalog of mitigation strategies that span the full AI lifecycle, including data collection and preprocessing, model training and alignment, deployment-time guardrails, post-hoc auditing, and governance and compliance mechanisms. Finally, we outline the design of an AI agent for continuous systemic-failure monitoring, intended to support practitioners, regulators, and system architects in proactively managing AI risks and building more trustworthy, financially resilient AI ecosystems.
Напомена: Семинар је могуће пратити на даљину. Све информације су доступне на страници: https://miteam.mi.sanu.ac.rs/asset/DPP9i2jhvYzp8dmRe
