Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm
Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the role of Logic...
Research and Knowledge Resources
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques
In: Nowaczyk, S., et al. Artificial Intelligence. ECAI 2023 International Workshops. ECAI 2023. Communications in...
Research and Knowledge Resources
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
Paper @ 2nd Workshop on Knowledge Diversity and the 2nd Workshop on Cognitive Aspects of...
Research and Knowledge Resources
A geometric framework for fairness
Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with...
Research and Knowledge Resources
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System
AEQUITAS 2023 – Proceedings of the 1st Workshop on Fairness and Bias in AI co-located...
Research and Knowledge Resources
Assessing and Enforcing Fairness in the AI Lifecycle
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), pages 6554-6562, IJCAI...
Research and Knowledge Resources
Unfair Inequality in Education: A Benchmark for AI-Fairness Research
This is the repository for the code and dataset of the paper intitled “Unfair Inequality...
Research and Knowledge Resources
Aequitas WP7 Use Case HR1 Adecco data 1.0
The dataset contains the matching of job positions and hiring candidates; this data has been...
Research and Knowledge Resources
Aequitas WP7 Use Case HR1 Akkodis STEM data 1.0
This dataset contains information about the hiring process conducted by Akkodis for job positions and...
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