Scholar
Francesco Sovrano
Google Scholar ID: iTXcdhIAAAAJ
ETH Zurich, Collegium Helveticum
Citations & Impact
Citations
686
H-index
15
i10-index
20
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Presented a new computational theory of explanations; involved in multiple projects related to AI, law, and education.
Research Experience
- From 2023 until 2024, he was a senior researcher at the University of Zurich in the Zurich Empirical Software Engineering Group, where he continued to advance his research in AI and software explanations.
Education
- Received his PhD in 2023 from the University of Bologna (Italy), presenting a new computational theory of explanations influenced by ordinary language philosophy and novel explanatory AI technology. His research included case studies on European legal frameworks and education, highlighting the theory's practical utility in improving learning efficiency for both AI agents and humans.
Background
- A data scientist specializing in artificial intelligence (AI). His research spans explainable AI (XAI), law, natural language processing (NLP), and human-computer interaction (HCI). He focuses on the theory of explanations and its applications in AI to enhance learning and information acquisition. Currently, he is trying to decipher how generative AI like ChatGPT produces educational explanations about different concepts.
Miscellany
- Born: 1991
- Place of Birth: Veneto, Italy
