Cecilia Panigutti

According to our database, Cecilia Panigutti authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Privacy Technologies and Policy - 12th Annual Privacy Forum, 2024

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., December, 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

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Semantic Enrichment of Explanations of AI Models for Healthcare.

Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

FairLens: Auditing black-box clinical decision support systems.

Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi

Inf. Process. Manag., 2021

2020

Explaining Multi-label Black-Box Classifiers for Health Applications.

Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Doctor XAI: an ontology-based approach to black-box sequential data classification explanations.

Cecilia Panigutti, Alan Perotti, Dino Pedreschi

Proceedings of the FAT* '20: Conference on Fairness, 2020