### Agents (WL) - The Impact of Multi-Agent AI Systems on Strategic Decision-Making in Supply Chain Management (or other business domain) - Collaborative Intelligence: Exploring the Dynamics of Human-AI Agent Teams in Complex Problem-Solving Tasks - Trust and Acceptance of AI Agents in Supply Chain Management (or other business domain) ### Mechanistic Interpretability (FM) - Training eines SAE (Sparse Autoencoders) für ein kleines Modell oder evtl. sogar unser Phoenix Modell - Aktueller Stand der Technik und Herausforderungen der mech.Interp. für LLMs - Untersuchung und Vergleich anhand vorhandener SAEs (evtl. Gemma Scope?), wie Multilinguale Modelle dieselben Features bei verschiedenen Sprachen lernen - Datenempfindlichkeit beim Training von SAEs - Analyse von „Gemma Scope" - Evaluation Metrics to measure quality of SAEs (SiS) ### AI Alignment (BW) - Self-reflection mechanism in large language models - Agent as a constitutional supervisor in large language models - Detecting inner beliefs in large language models - Mechanismen to identify AI generated Content a State of the Art Review (SiS)