Teresa SCANTAMBURLO

Position
Adjunct Professor
Telephone
041 234 8442
E-mail
teresa.scantamburlo@unive.it
Scientific sector (SSD)
Informatica [INFO-01/A]
Website
www.unive.it/people/teresa.scantamburlo (personal record)
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity

Gallese, Chiara; Scantamburlo, Teresa; Manzoni, Luca; Giannerini, Simone; Nobile, Marco S. FanFAIR: sensitive data sets semi-automatic fairness assessment in BMC MEDICAL INFORMATICS AND DECISION MAKING, vol. 25 (ISSN 1472-6947)
DOI 2025, Journal Article - ARCA card: 10278/5103560


Scantamburlo, Teresa; Cortés, Atia; Foffano, Francesca; Barrué, Cristian; Distefano, Veronica; Pham, Long; Fabris, Alessandro Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust in IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, vol. 6, pp. 1-14 (ISSN 2691-4581)
DOI - URL correlato 2024, Journal Article - ARCA card: 10278/5082289


Scantamburlo, Teresa; Baumann, Joachim; Heitz, Christoph On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model in AI & SOCIETY, vol. - (ISSN 0951-5666)
DOI - URL correlato 2024, Journal Article - ARCA card: 10278/5082293


Pham, Long; O'Sullivan, Barry; Scantamburlo, Teresa; Mai, Tai Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities , Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, vol. 38, pp. 23119-23127, Convegno: 38th AAAI Conference on Artificial Intelligence, AAAI 2024 (ISSN 2374-3468)
DOI 2024, Article in Conference Proceedings - ARCA card: 10278/5082291


Scantamburlo, Teresa; Falcarin, Paolo; Veneri, Alberto; Fabris, Alessandro; Gallese, Chiara; Billa, Valentina; Rotolo, Francesca; Marcuzzi, Federico Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge , Proceedings of the 2nd International Workshop on Responsible AI Engineering, Association for Computing Machinery, pp. 44-51, Convegno: 2024 IEEE/ACM International Workshop on Responsible AI Engineering (RAIE), 24/04/2024 (ISBN 9798400705724)
DOI - URL correlato 2024, Article in Conference Proceedings - ARCA card: 10278/5066021