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--- aira:start [2026/06/09 19:04] – [Schedule Spring 2026] mzk
+++ aira:start [2026/06/09 19:05] (current) – [2026-05-28] mzk
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+==== 2026-06-11 ====
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+**Speaker**: Sabri Manai,  PhD Candidate @ Jagiellonian University
+**Title**: Transparent and Adaptive AI for Human-Guided Decision Support.
+**Abstract**:
+This talk presents Sabri's research into making AI systems more transparent, trustworthy, and useful for human decision-making. Across three lines of work, he develops explainable recommendations tailored to multiple stakeholders, grounds industrial anomaly detection in domain knowledge through knowledge graphs, and introduces counterfactual-guided hyperparameter optimisation with a conversational interface, showing that interactive explanation measurably outperforms static alternatives.
+Together these works reveal a common thread and a shared limitation: current explainable AI systems are built around one-shot outputs. They tell users why a decision was made, but offer no principled response when users push back. The second part of the talk examines this open problem: how AI systems should handle disagreement, adapt to feedback, and be evaluated not on perceived trust but on whether they genuinely improve human decisions.
+**Biogram**:
+Sabri Manai is a PhD candidate in Technical Computer Science at Jagiellonian University in Kraków, where his research focuses on explainable AI and pattern detection in multimodal data. His work investigates how human feedback and domain knowledge can improve the transparency and reliability of AI systems.
+He holds a Master’s degree in Software Systems Engineering from the Universitat Politècnica de València and a Bachelor’s degree in Computer Science from the South Mediterranean University in Tunis. Previously, he worked on AI-driven urban analytics within the Valencia Smart City project at Idrica and contributed to mobile development and cloud integration at Peaksource.
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 ==== 2026-05-28 ====