Published Research
The Use of Artificial Intelligence in the Administration of Justice. Suggested Framework of Ethical Principles and Reasoning of Judges in the Use of intelligent Systems
RRAO: An Ontology for the Representation of Reoffending Risk Assessment Knowledge
Towards Fair Recidivism Prediction: Addressing Bias in Machine Learning for the Greek Prison System
Evaluation of Fairness in Machine Learning-Based Recidivism Predictions: the Case of Greek Female Prison System
Journals
- S. Chatzistamatis *, G. E. Tsekouras, A. Rigos, A. Garcia-Recuero, E. Valari, A. Siafakas, K. Kotis*, A Fairness-Aware and Interpretable Model for Recidivism Prediction, Algorithms, submitted (May 2026)
- Machan, C., Gomes, J., & García R., Á. (2026). Socio-technical AI and the reform of recidivism prediction. Justice Trends, 15, 61–65.
- Manos, N., Technitis, E., & Sykiotou, A. (2026). The Use of Artificial Intelligence in the Administration of Justice: Suggested Framework of Ethical Principles and Reasoning of Judges in the Use of Intelligent Systems. Laws, 15(2), 20. https://doi.org/10.3390/laws15020020
Conferences
- S. Angelis et al., “RRAO: An Ontology for the Representation of Reoffending Risk Assessment Knowledge,” 2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA), Mytilene, island of Lesvos, Greece, 2025, pp. 1-9, doi: 10.1109/IISA66859.2025.11311249.
- F. Oikonomou et al., “Towards Fair Recidivism Prediction: Addressing Bias in Machine Learning for the Greek Prison System,” 2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Fez, Morocco, 2025, pp. 1-7, doi: 10.1109/IRASET64571.2025.11008007.
- S. Bentos et al., “Evaluation of Fairness in Machine Learning-Based Recidivism Predictions: the Case of Greek Female Prison System,” 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), FEZ, Morocco, 2024, pp. 1-8, doi: 10.1109/IRASET60544.2024.10548202.