Technical Papers -- On Explanations for Hybrid Artificial Intelligence (Best Technical Paper) -- Speech and Natural Language Analysis -- Intermediate Task Ensembling for Sarcasm Detection -- Clinical Dialogue Transcription Error Correction with Self-supervision -- Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian -- Confidence Preservation Property in Knowledge Distillation Abstractions -- Image Analysis -- Exploring Optimal Configurations in Active Learning for Medical Imaging -- CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric -- A Contrastive Learning Scheme with Transformer Innate Patches -- Deep Despeckling of SAR Images to Improve Change Detection Performance -- Neural Nets -- Profiling Power Consumption for Deep Learning on Resource Limited Devices -- Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation -- Case Based Reasoning -- Semi-Supervised Similarity Learning in Process-Oriented Case-Based Reasoning -- PertCF: A Perturbation-Based Counterfactual Generation Approach -- Short Technical Papers -- Speech Emotion Recognition using Deep Learning -- Distinct Sequential Models for Inference Boosting -- On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research -- Unveiling the Relationship between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence -- A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment -- Optimal Manufacturing Controller Synthesis using Situation Calculus -- Predicting social Trust from Implicit Feedback -- A Neural Network Approach to Dragon Boat Partition Problem (Abstract) -- Auditing AI Systems: A Metadata Approach -- Prospective Responsibility for Multi-Agent Systems -- Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News -- A Knowledge Rich Task Planning Framework for Human-Robot Collaboration -- Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations -- Application Papers -- Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures (Best Application Paper) -- Machine Learning Applications -- Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine -- Solar Flare Forecasting Using Individual and Ensemble RNN Models -- Deep Reinforcement Learning for Continuous Control of Material Thickness -- SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System -- Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction -- Machine Vision Applications -- ReFrogID: Pattern Recognition for Pool Frog Identification using Deep Learning and Feature Matching -- Cropline and Weed Detection in Corn Using Weak Supervision -- Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer`s Disease from MRI Images -- Knowledge Discovery and Data Mining Applications -- Heuristic Search of Heuristics -- Bias in Recommender Systems: Item Price Perspective -- Other AI Applications -- Automating Question Generation From Educational Text -- Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement -- Interpreting NMR Spectra By Constraint Solving -- Short Application Papers -- On The Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem -- Detecting Bias in University News Articles: A Comparative Study using BERT, GPT-3.5 and Google Bard Annotations -- Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning -- COVID-19 Liquor Sales Forecasting Model -- On The Development of a Candidate Selection System for Automated Plastic Waste Detection using Airborne Based Remote Sensing -- Estimations of Professional Experience with Panel Data to Improve Salary Predictions -- Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review.

This book constitutes the refereed proceedings of the 43rd SGAI International Conference on Artificial Intelligence, AI 2023, held in Cambridge, UK, during December 12-14, 2023. The 27 full papers and 20 short papers included in this book are carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: Technical Papers: Speech and Natural Language Analysis, Image Analysis, Neural Nets, Case Based Reasoning and Short Technical Papers. Application Papers: Machine Learning Applications, Machine Vision Applications, Knowledge Discovery and Data Mining Applications, other AI Applications and Short Application Papers.