AINOW 2026

K1. Controlling Artificial Intelligence: An NST Perspective – Prof. Dr. Herwig Mannaert, University of Antwerp, Belgium K2. On the Integration of Informal Methods into Model-Driven Software Engineering – Prof. Dr. Hans-Werner Sehring, NORDAKADEMIE Hochschule der Wirtschaft, Hamburg, Germany K3. Theme: Industry 5.0: Predictive Maintenance and its Economic and Environmental Impact – Prof. Dr. Rui Pinto, University of Porto, Portugal K4. Overview of AgriICWSN Project: Information-Centric Wireless Sensor Network for Smart Agriculture – Prof. Dr. Shintaro Mori, Fukuoka University, Japan K5. Engineered Attention: Algorithmic Bias, Persuasive Traps, and the Shaping of Reality on Social Media – Prof. Dr. Nitin Agarwal, COSMOS, University of Arkansas – Little Rock; ICSI, University of California – Berkeley, USA K6. Beyond the Point Estimate: Tabular Foundation Models and Provable Guarantees for Mission-Critical AI – Prof. Dr. Thomas Zöller, IU International University of Applied Sciences, Germany K7. Preference-Centric Combinatorial Optimization for Multi-Criteria Decision Making – Prof. Dr. Malek Mouhoub, University of Regina, Canada K8. Intelligent but Vulnerable – The Paradox of Digital Transformation – Prof. Dr. Lasse Berntzen, University of South-Eastern Norway, Norway K9. Driving Analyses for Electric Cars: From being Connected to Automated Driving, Focusing on the Challenges of Range, Comfort and Efficiency – Prof. Dr. Oliver Michler, Dresden University of Technology, Dresden (TUD), Germany