Artificial Intelligence. ECAI 2023 International Workshops : XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 – October 4, 2023, Proceedings, Part II

This volume constitutes the refereed proceedings presented at the international workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, which was held in Kraków, Poland, in September-October 2023. The papers in this volume were presented at the following workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI. Preface Organization Contents – Part II Contents – Part I SEDAMI Semantic Data Mining (SEDAMI 2023) Organization Workshop Co-chairs Program Committee Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks 1 Introduction 2 Problem Definition 2.1 Social Network Models 2.2 Dynamic Opinion Leader Detection 3 Related Work 3.1 Opinion Leader Detection 3.2 Dynamic Opinion Leader Detection 4 Methodology 4.1 Overall Design and Framework 4.2 Dynamic Graph Embedding 4.3 Clustering and Cluster Selection 5 Experiments and Results 5.1 Experimental Setting 5.2 Clustering Result Analysis 5.3 Performance Evaluation 6 Conclusion and Future Work 7 Appendix 7.1 Related Work on Dynamic Graph Embedding 7.2 Methodology Summary 7.3 Dataset Description 7.4 Parameters Optimization References Post–mining on Association Rule Bases 1 Introduction 2 Related Work 3 Background Material 4 The Data Mining Workflow 5 Operations on the Association Rule Base 5.1 Subsumption in the Rule Base 5.2 Joining Association Rules 5.3 Similarity Search in Sets of Association Rules 5.4 Other Methods 6 Examples 6.1 A Complete Toy Example 6.2 A Practical Heating Example 7 Discussion and Future Work References Improving Understandability of Explanations with a Usage of Expert Knowledge 1 Introduction 2 Motivation 3 Related Works 4 Transforming Domain Knowledge into a Set of Rules 4.1 Dataset 4.2 Feasibility Study of Rules for Features Assessment 4.3 Creating Rules 5 Evaluation 6 Summary References Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values 1 Introduction 2 Related Works 3 Shap-Enhanced Control Charts (SECC) 3.1 Basis of SHAP Calculation and Visualisations 3.2 Basis of Control Chart Usage 3.3 Combining the SHAP Charts and Values and Limits Plots 4 Usecases 4.1 Dataset Used 4.2 Connection Between Limits and SHAP Values 5 Conclusions References RAAIT Preface – Responsible Applied Artificial InTelligence (RAAIT) Workshop 1 About the Workshop 2 Keynotes 3 Accepted Papers 4 Closing Remarks Complying with the EU AI Act 1 Introduction 2 Relevant Literature 3 Methodology 3.1 Identifying Categories in the AIA 3.2 Creating and Refining the Questionnaire 3.3 Response Rating 4 Results 4.1 Identifying Focus Areas 4.2 Organization Characteristics' Influence 4.3 Prevalent Questions 5 Conclusion 6 Future Research References Trust in Artificial Intelligence: Exploring the Influence of Model Presentation and Model Interaction on Trust in a Medical Setting 1 Introduction 2 Preliminaries 2.1 Trust 2.2 Explainable AI 2.3 Explainability and Trust in Artificial Intelligence 3 Method 3.1 Dashboard 3.2 Participants and Setting 4 Results 5 Discussion References Improving Adoption of AI Impact Assessment in the Media Sector 1 Introduction 2 AI Impact Self-assessment 3 Method and Results 4 Discussion References MindSet: A Bias-Detection Interface Using a Visual Human-in-the-Loop Workflow 1 Introduction 2 Related Work 2.1 Bias Discovery 2.2 Wisdom of the Crowd bias detection 3 The MindSet Interface 3.1 Implementation Details 3.2 Use Cases 4 Discussion 4.1 User Selection 4.2 Measuring Bias 4.3 Conclusion and Future Work References Empirical Research on Ensuring Ethical AI in Fraud Detection of Insurance Claims: A Field Study of Dutch Insurers 1 Introduction 2 Process of Fraud Detection 3 Research Method 4 Results 4.1 Accountability and Safety 4.2 Transparency 4.3 Non-discrimination 4.4 Human Agency 5 Discussion and Conclusion References Random Sample as a Pre-pilot Evaluation of Benefits and Risks for AI in Public Sector 1 Introduction 2 Background 3 Fictional Use Case for Illustration of Arguments 4 Arguments 4.1 Testing Assumptions 4.2 Fairness Calibration 4.3 Alternatives Comparison 4.4 Reflection on Goal Translation 4.5 Understanding Limitations of AI 4.6 Safe Space 5 Discussion 5.1 Temporary Loss of Efficiency 5.2 Imbalance in Class and Representation 5.3 Organizational Hesitancy 5.4 Experience of a Random Inspection 6 Conclusion References AI4S Preface to the Workshop on Artificial Intelligence for Sustainability (AI4S)–ECAI 2023 Organization Workshop Chairs and Organizing Committee Local Representatives Program Committee Go-Explore for Residential Energy Management 1 Introduction 2 Background Knowledge 2.1 Markov Decision Process and Reinforcement Learning 2.2 Go-Explore 3 Model 3.1 Residential Energy Consumption Model 3.2 Markov Decision Process Setup 3.3 Go-Explore Model 4 Experiment 4.1 Datasets 4.2 Baseline Algorithm 5 Result and Discussion 6 Conclusion References Remote Learning Technologies in Achieving the Fourth Sustainable Development Goal 1 Introduction 2 Theoretical Background 2.1 Sustainable Development 2.2 Education in Business Strategies 2.3 Distance Learning Technologies 3 Research Methodology 3.1 Research Tools 3.2 Research Procedure 4 Empirical Results and Discussion 4.1 Results 4.2 Discussion 5 Conclusion References Fairlearn Parity Constraints for Mitigating Gender Bias in Binary Classification Models – Comparative Analysis 1 Introduction 2 Gender Bias in Machine Learning Models 3 Fairlearn Overview 4 Fairlearn Parity Constraints 5 Comparative Analysis of Fairlearn Parity Constraints for Mitigating Gender Bias in Binary Classification Models 5.1 Experiment Overview 5.2 Baseline Model 5.3 Comparative Analysis 5.4 Summary 6 Conclusions References AI in Accelerating the Creation of Renewable Energy Sources. Bibliometric Analysis 1 Introduction 2 Research Questions 3 Methodology 4 Results 5 Conclusions References The Use of Semantic Networks for the Categorization of Prosumers 1 Introduction 2 Identification of the Scope of Publications 3 Method and Reserach Procedure 4 Research Results 5 Conclusions References Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring 1 Introduction 2 Related Works 3 Datasets 4 YOLOv5 5 Results and Analysis 6 Conclusion References An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration 1 Introduction 2 Electric Vehicles 2.1 Transport and Climate Change 2.2 Batteries 2.3 Grid 2.4 Challenges 3 Artificial Intelligence 3.1 Machine Learning 3.2 Reinforcement Learning 3.3 Neural Networks and Deep Learning 4 Applications of AI to Electric Vehicles 4.1 Electric Vehicle Producers 4.2 End Users 4.3 Power System Operators 4.4 Owners of EV Charging Infrastructure 5 Discussion 5.1 Limitations 5.2 Future Directions 6 Conclusion References Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Collection and Analysis 3.2 Fuzzy Multi-criteria Decision-Making Approach 4 Results and Discussion 5 Conclusion References Green Hardware Infrastructure for Algorithmic Trading 1 Introduction 2 Theoretical Background 2.1 Sustainable Development 3 Research Methodology 3.1 Research Tools the Considerations Presented in the Article Were Developed as a Result of the Use of Such Research Tools as a Review of Scientific Literature, Analysis of Industry Reports, and Analysis of Reports on the Sustainable Development of Major Solution Providers. The Scope of Application of the Mentioned Research Tools Was as Follows: 3.2 Research Procedure 4 Empirical Results and Discussion 4.1 Results 5 Conclusion References Investigating Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Study Leveraging XAI-SHAP Clustering Methodology 1 Introduction 2 Related Work 2.1 Application of AI in Forecasting Air Pollutants 2.2 Interpreting Models with XAI – SHAP Approach in Environmental Research 3 Investigating Air Pollution Dynamics Using XAI-SHAP Clustering 3.1 Dataset and Experimental Settings 3.2 Constructing and Assessing ML Classification Models 3.3 SHAP-Based Dimensionality Reduction 4 Study Findings and Insights 4.1 Hourly Variations in Air Pollutant Concentrations Across Monitoring Stations 4.2 Feasibility of Supervised Clustering Using SHAP Values 5 Conclusion References An Experienced Chatbot – The Case of Technical Knowledge at Electricity of France (EDF) 1 Introduction 2 An Air Conditioner in the Electrical Room? 3 Produce New Documentation to Capitalize on Knowledge 4 How Did the Air Conditioner Come About? 5 How Do Discussions Feed the Conversationalist? 6 The Conversationalist and AI 6.1 AI Enables Dialogue 6.2 The Life of the Conversationalist 7 Conclusions References Towards a Sustainable Future: The Use of Electrical Energy in Smart Cities 1 Introduction 2 Research Background 3 Prediction Models of Electrical Consumption in Smart Cities 4 Conclusions and Considerations References The Importance of Eco-Commerce in the Context of Sustainable Development: A Case Study Analysis 1 Introduction 2 Eco-Commerce as a Tool for Sustainable Development 3 Define the Research Methods 4 A Case Study of a Polish Fashion and Accessories e-store (SMEs) 5 Discussion References Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling 1 Introduction 2 Background 3 Agent-Based Model of Dairy Farm 3.1 Agent-Based Model 3.2 Model Overview 3.3 Agent-Based Model Inputs 4 Experimental Results 4.1 Hourly Electricity Consumption 4.2 Agent-Based Model Validation 5 Conclusion References Personalised Electric Vehicle Routing Using Online Estimators 1 Introduction 2 Related Work 3 Methodology 3.1 OEPE Fundamentals 3.2 Process of Eliciting Preferences 4 Evaluation 5 Conclusions References Reinforcement Learning for Battery Management in Dairy Farming 1 Introduction 2 Background 2.1 Conventional Battery Control Methods 2.2 Reinforcement Learning for Battery Control 3 Methodology 3.1 System Design 3.2 Data and Price Profile 3.3 Baseline Implementation 3.4 Application of Q-Learning to Battery Management 4 Results and Discussion 5 Conclusion References A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming 1 Introduction 2 Related Work 3 Methodology 3.1 Datasets and Infrastructure 3.2 Model Design 4 Experimental Results 5 Conclusion and Future Work References Food Ontologies and Ontological Reasoning in Food Domain for Sustainability 1 Introduction 2 Combining AI with Food Ontologies for Sustainability 3 Ontologies in Food Domain 3.1 FoodOn 3.2 Food KG 3.3 The SmartProducts Network of Ontologies (SPO) 3.4 Ingredients Ontology 3.5 Ontology for Nutritional Studies (ONS) 3.6 Comparison of ONS, FoodKG, SPO and FoodOn Ontologies 4 Ontological Reasoning in Food Domain 5 Conclusions References AI System for Short Term Prediction of Hourly Electricity Demand 1 Introduction 2 Literature Remarks 3 Method 4 Results 5 Conclusions References The Use of Artificial Intelligence in Activities Aimed at Sustainable Development - Good Practices 1 Introduction 1.1 The Concept of Sustainable Development in the Context of the 2030 Agenda 1.2 Artificial Intelligence and the Sustainable Development Goals 2 Methods 3 Results – Good Practices – Selected Examples 3.1 Robots in the Labor Market 3.2 Future Food and Precise Farming 3.3 Nomads, Inclusiveness and Diversity 3.4 Entertainment with AI 4 Discussion - Summary References Hydra HYDRA 2023: The 2nd International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning Preface Organization General Chairs Program Chairs Organization Chairs Publicity Chair Program Committee Do Datapoints Argue?: Argumentation for Hierarchical Agreement in Datasets 1 Introduction 2 Related Work 3 Theoretical Background 3.1 Use Scenario 3.2 AI Methodology 4 Methodology 4.1 Argumentation Framework 4.2 Recursive Partitioning 5 Results 5.1 Detecting Poisoned Data 5.2 Filtering Training Data 6 Discussion 6.1 Ethical Considerations 6.2 Conclusions and Future Work References From Probabilistic Programming to Complexity-Based Programming 1 Introduction 2 Theoretical Background 2.1 Simplicity Theory 2.2 ProbLog 2.3 From ProbLog to CompLog 3 CompLog 3.1 Language 3.2 Inference 3.3 Implementation 4 Examples of Application 4.1 Most Relevant Description 4.2 Disjunction 4.3 Negation 5 Conclusion and Future Works References Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems 1 Introduction 2 Related Work 3 Background 4 Solution 4.1 Generic Modelling Approach for CPPS Planning Problems 4.2 Novel Planning Algorithm for CPPS Planning Problems 5 Evaluation 6 Discussion 7 Conclusion References Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems 1 Introduction 2 Related Work 3 Problem Formalization 4 Solution 4.1 A Sub-Symbolic Planning Approach for Planning in CPPS 4.2 Learning Process Steps as Dynamical Systems 5 Results 5.1 Empirical Results 5.2 Theoretical Results 6 Discussion 7 Conclusion References Multi-Mind Dynamics in Intentional Agents 1 Introduction 2 Theoretical Background 2.1 Belief, Desire, Intention (BDI) Agent Model 2.2 Multi-Context Systems (MCS) 3 Multi-Mind BDI Agent 4 Example: A Multi-Mind Driving Assistance Agent 5 Discussion and Related Work 6 Conclusion and Future Work References Towards Model-Driven Explainable Artificial Intelligence. An Experiment with Shallow Methods Versus Grammatical Evolution 1 Introduction 2 State-of-the-Art in XAI and Motivation 3 A Note on Grammatical Evolution 4 An Experiment with Different Explainability Methods 5 Conclusions References AI4AI En Enhancing Computer Science Education by Automated Analysis of Students' Code Submissions 1 Introduction 2 Related Work 3 Problem Definition 4 Proposed Approach 5 Experimental Evaluation 6 Conclusion References Does Starting Deep Learning Homework Earlier Improve Grades? 1 Introduction 2 Data Collection and Background 2.1 Homework Details 2.2 Removed Records 2.3 Institutional Review Board Approval 3 Model 4 Results 5 Other Related Work 6 Conclusion References Guided Tours in ALeA 1 Introduction 2 ALeA Components 2.1 Learner Modelling 2.2 Learning Objects 3 Guided Tours 3.1 Initial Impetus 3.2 Navigating Dependencies 3.3 Introducing Concepts 3.4 Working with Concepts 3.5 Da Capo Al Coda 4 Conclusion and Future Work References Performance of Large Language Models in a Computer Science Degree Program 1 Introduction 2 Related Work 3 Methodology 4 Experimental Results 4.1 1st Semester 4.2 2nd Semester 4.3 3rd Semester 4.4 4th Semester 4.5 5th Semester 5 Discussion 6 Conclusion References Language-Model Assisted Learning How to Program? 1 Introduction 1.1 Background and Motivation 1.2 Research Question 2 Related Work 3 Scope 4 Method 5 Dataset 6 Towards an Evaluation 6.1 Quantitative Evaluation 6.2 Qualitative Evaluation 7 Discussion 7.1 Accomplishments 7.2 Limitations 8 Ethical Reflections 9 Summary, Conclusion and Future Work A Some Sample Questions from our Dataset B DDL Database Schema References Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students 1 Introduction 2 Related Work 3 Method 4 Evaluation 5 Discussion 6 Summary, Conclusion and Future Work References Topic Segmentation of Educational Video Lectures Using Audio and Text 1 Introduction 2 Related Work 3 Methods 3.1 Silence-Based Segmentation 3.2 Keyword Extraction-Based Segmentation 4 Towards an Evaluation 4.1 Evaluation Datasets 4.2 Method Hyperparameters 4.3 Grid Search 4.4 Evaluation Metrics 4.5 Evaluation Results 4.6 Analysis of Results 5 Discussion 6 Summary, Conclusion and Future Work References Model-Based-Diagnosis for Assistance in Programming Exercises 1 Introduction 2 Model-Based Diagnosis and Debugging 2.1 Model-Based Software Debugging 2.2 Fault Localization 3 Modelfinding for Diagnosis 4 Model-Based Diagnosis of Programming Exercises 4.1 Algebraic Specification as Diagnosis System 5 Inferring Hidden Values from Testcases 5.1 Constructing Diagnosis 6 Conclusion and Future Work References Author Index