Library

Access a comprehensive collection of resources generated by the FAIR-PReSONS project. Explore research papers, reports, training materials, and other valuable publications related to fair and unbiased AI in recidivism prediction.

If you wish to use any project documents or media of the project, please refer to the Terms of use of the website and contact us at fair-presons@aegean.gr

Related research papers (authored by members of the consortium in the context of FAIR-PReSONS project):

  1. S Bentos, S Spirou, K Kotis, G Tsekouras, Bias Assessment in AI-Based Predictions of Recidivism, 13th Beyond Humanism Conference (BHC), Mytilene.
  1. S Bentos, E Bailis, F Oikonomou, S Spirou, E Mavrikos, S Chatzistamatis, Konstantinos Kotis, George E Tsekouras, 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.