AEQUITAS

 AEQUITAS — Assessment and Engineering of eQuitable, Unbiased, Impartial and Trustworthy Ai Systems (01/11/2022–31/10/2025)

 AEQUITAS 2023@ECAI 2023 — 30/09/2023–05/10/2023

 Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (articolo in atti, 2023) — Federico Sabbatini, Roberta Calegari

 Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (articolo in atti, 2023) — Federico Sabbatini, Roberta Calegari

 Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (KoDis 2023@KR 2023, 03/09/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

 Kick-off meeting – Project Introduction (AEQUITAS Kick-off Meeting, 14/11/2022) — Roberta Calegari (Roberta Calegari)

 ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023, 03/09/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

 FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (articolo in atti, 2023) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano

 Assessing and Enforcing Fairness in the AI Lifecycle (articolo in atti, 2023) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan

 ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (articolo in atti, 2023) — Federico Sabbatini, Roberta Calegari