This book constitutes the proceedings of the 47th German Conference on AI, KI 2024, which was held in Würzburg, Germany, during September 25–27, 2024.The 19 full papers, 7 short papers and 5 other papers presented in this book were carefully reviewed and selected from 63 submissions.

.- Full Technical Papers.  .- From Resolving Inconsistencies in Qualitative Constraints Networks to Identifying Robust Solutions: A Universal Encoding in ASP. .- Efficiently Training Neural Networks for Imperfect-Information Games by Sampling Information Sets. .- A Note on Linear Time Series Prediction. .- Data Augmentation in Latent Space with Varational Autoencoder and Pretrained Image Model for Visual Reinforcement Learning. .- Could the Declarer have Discarded It? Refined Anticipation of Cards in Skat. .- A Framework for General Trick-Taking Card Games. .- Mechanisms for Data Sharing in Collaborative Causal Inference. .- SaVeWoT: Scripting and Verifying Web of Things Systems and Their Effects on the Physical World. .- Active Learning in Multi-label Classification of Bioacoustic Data. .- Quantifying the Trade-Offs between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness. .- Image Dataset Quality Assessment Through Descriptive Out-of- Distribution Detection. .- Saxony-Anhalt is the worst: Bias towards German federal states in Large Language Models. .- Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. .- Evaluating AI-based Components for Autonomous Railway Systems. .- SocialCOP: Reusable Building Blocks for Collective Constraint Optimization.  .- Context-Specific Selection of Commonsense Knowledge Using Large Language Models. .- Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation. .- Data Generation for Explainable Occupational Fraud Detection. .- Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data. .- Technical Communications.  .- Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. .- Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices. .- Automated Design in Hybrid Action Spaces by Reinforcement Learning and Differential Evolution. .- Instance segmentation with a novel tree log detection dataset. .- LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps. .- Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children. .- Explanatory Interactive Machine Learning with Counterexamples from Constrained Large Language Models. .- Extended Abstracts of Papers from other AI Conferences.  .- MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation (Extended Abstract). .- A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract). .- Out-of-Distribution Detection with Logical Reasoning (Extended Abstract). .- A Brief Systematization of Explanation-Aware Attacks (Extended Abstract). .- Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). .- MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation (Extended Abstract). .- A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract). .- Out-of-Distribution Detection with Logical Reasoning (Extended Abstract). .- A Brief Systematization of Explanation-Aware Attacks (Extended Abstract). .- Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).