Cecilia Panigutti has been working at the European Commission since 2022, joining directly after completing her PhD in Data Science from Scuola Normale Superiore, where her research focus was on eXplainable AI. She also holds a master degree in Physics of Complex Systems. Her work at ECAT is focused on supporting the enforcement of the Digital Services Act (DSA), specifically focusing on aspects related to algorithms. She also carries out research on trustworthy AI and AI Standardisation in support of the AI Act.
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Selected publications:
Panigutti, Cecilia, et al. "The role of explainable AI in the context of the AI Act." Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. 2023.
Panigutti, Cecilia, et al. "Co-design of human-centered, explainable AI for clinical decision support." ACM Transactions on Interactive Intelligent Systems (2023).
Soler Garrido, Josep, et al. Analysis of the preliminary AI standardisation work plan in support of the AI Act. No. JRC132833. Joint Research Centre (Seville site), 2023.
Panigutti, Cecilia, et al. "FairLens: Auditing black-box clinical decision support systems." Information Processing & Management 58.5 (2021): 102657.
Panigutti, Cecilia, et al. "Doctor XAI: an ontology-based approach to black-box sequential data classification explanations." Proceedings of the 2020 conference on fairness, accountability, and transparency. 2020.