Doctor XAI: an ontology-based approach to black-box sequential data classification explanations. - Cecilia Panigutti; Alan Perotti; Dino Pedreschi (FAT*, 2020)

Explaining Multi-label Black-Box Classifiers for Health Applications. - Cecilia Panigutti; Riccardo Guidotti; Anna Monreale; Dino Pedreschi (Precision Health and Medicine, 2020)

FairLens: Auditing black-box clinical decision support systems. - Cecilia Panigutti; Alan Perotti; André Panisson; Paolo Bajardi; Dino Pedreschi (Inf. Process. Manag., 2021)

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems. - Cecilia Panigutti; Andrea Beretta; Fosca Giannotti; Dino Pedreschi (CHI, 2022)

Semantic Enrichment of Explanations of AI Models for Healthcare. - Luca Corbucci; Anna Monreale; Cecilia Panigutti; Michela Natilli; Simona Smiraglio; Dino Pedreschi (DS, 2023)

The role of explainable AI in the context of the AI Act. - Cecilia Panigutti; Ronan Hamon; Isabelle Hupont; David Fernández Llorca; Delia Fano Yela; Henrik Junklewitz; Salvatore Scalzo; Gabriele Mazzini; Ignacio Sánchez; Josep Soler Garrido; Emilia Gómez (FAccT, 2023)

Co-design of Human-centered, Explainable AI for Clinical Decision Support. - Cecilia Panigutti; Andrea Beretta; Daniele Fadda; Fosca Giannotti; Dino Pedreschi; Alan Perotti; Salvatore Rinzivillo (ACM Trans. Interact. Intell. Syst., 2023)

AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act. - Delaram Golpayegani; Isabelle Hupont; Cecilia Panigutti; Harshvardhan J. Pandit; Sven Schade; Declan O'Sullivan; Dave Lewis 001 (APF, 2024)

How to investigate algorithmic-driven risks in online platforms and search engines? A narrative review through the lens of the EU Digital Services Act. - Cecilia Panigutti; Delia Fano Yela; Lorenzo Porcaro; Astrid Bertrand; Josep Soler Garrido (FAccT, 2025)