- Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial.- Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces.- Predicate-based explanation of a Reinforcement Learning agent via action importance evaluation.- Local interpretability of random forests for multi-target regression.- On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-Class Classification Tasks.- Analyzing the Explanation and Interpretation Potential of Matrix Capsule Networks.- An Efficient Shapley Value Computation for the Naive Bayes Classifier.- An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision.

- Natively Interpretable t-SNE.- BIAS 2023 - 3rd Workshop on Bias and Fairness in AI.- Automated discovery of trade-off between utility, privacy and fairness in machine learning models.- Facial Analysis Systems and Down Syndrome.- Mitigating Discrimination in Insurance with Wasserstein Barycenters.- Counterfactual Explanations for Recommendation Bias.- Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.- Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.

- How Different Is Stereotypical Bias Across Languages?.- Sampling strategies for mitigating bias in face synthesis methods.- Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders.- Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats.- Biased Data in Conversational Agents.- Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias.- How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses.- Explainable Artificial Intelligence: From Static to Dynamic.

- Shapley-Based Feature Selection for Online Algorithm Selection.- Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes.- Dynamic Interpretability for Model Comparison via Decision Rules.- Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning.- A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning.- ML, Law and Society.- The AI Act Is Coming: Are E-Health Manufacturers Ready?.- Techniques to achieve anonymisation of health data: When are they sufficient to be considered as legally complaint?.

- Mental state classification using EEG signals: ethics, law and challenges.- Trustworthy AI Development in Education.- Variants analysis in judicial trials: Challenges and initial results.- FLAIRS: Federated Learning AI Regulatory Sandbox.- Towards a Process View of Algorithmic Fairness.- A practical application of Artificial Intelligence techniques for legal context analysis.- Why Fair Automated Hiring Systems Breach EU Non-Discrimination Law.- Enhancing e-Justice: Assessing the effectiveness of specialized LLMs' applications with Cicero.

- Process mining on a public procurement dataset: a case study.- Google Topics as a way out of the cookie dilemma?.