| Intelligenza artificiale. Cos’ č davvero, come funziona, che effetti avrŕ S Quintarelli, F Corea, CG Ferrauto, F Fossa, A Loreggia, S Sapienza Torino: Bollati Boringhieri, 2020 | 12* | 2020 |
| Metrics, Explainability and the European AI Act Proposal F Sovrano, S Sapienza, M Palmirani, F Vitali J 5 (1), 126-138, 2022 | 10 | 2022 |
| Hybrid refining approach of pronto ontology M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano Electronic Government and the Information Systems Perspective: 9th …, 2020 | 7 | 2020 |
| AI: profili etici. Una prospettiva etica sull'Intelligenza Artificiale: princěpi, diritti e raccomandazioni S Quintarelli, F Corea, F Fossa, A Loreggia, S Sapienza BioLaw Journal-Rivista di BioDiritto 18 (3), 183-204, 2019 | 7 | 2019 |
| A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act F Sovrano, S Sapienza, M Palmirani, F Vitali arXiv preprint arXiv:2110.11168, 2021 | 6* | 2021 |
| Emerging data governance issues in big data applications for food safety S Sapienza, M Palmirani Electronic Government and the Information Systems Perspective: 7th …, 2018 | 5 | 2018 |
| Big Data, Explanations and Knowability Ragion pratica M Palmirani, S Sapienza Ragion pratica, 349-364, 2021 | 4 | 2021 |
| PrOnto ontology refinement through open knowledge extraction M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano Legal Knowledge and Information Systems, 205-210, 2019 | 4 | 2019 |
| Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda M Palmirani, F Sovrano, D Liga, S Sapienza, F Vitali Legal Knowledge and Information Systems, 68-75, 2021 | 3 | 2021 |
| Principle-based recommendations for big data and machine learning in food safety: the P-SAFETY model S Sapienza, A Vedder AI & SOCIETY, 1-16, 2021 | 2 | 2021 |
| A dataset for evaluating legal question answering on private international law F Sovrano, M Palmirani, B Distefano, S Sapienza, F Vitali Proceedings of the Eighteenth International Conference on Artificial …, 2021 | 2 | 2021 |
| Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data Ownership and Data Governance S Sapienza Springer, 2022 | 1 | 2022 |
| An ethical perspective on Artificial Intelligence: Principles, rights and recommendations/Una prospettiva etica sull’intelligenza artificiale: princěpi, diritti e raccomandazioni S Quintarelli, F Corea, F Fossa, A Loreggia, S Sapienza BioLaw Journal 2019 (3), 159-177, 2019 | 1 | 2019 |
| Smart Solutions in AgriTech: Research Trajectories in the Digital Transition S Sapienza Electronic Government and the Information Systems Perspective: 11th …, 2022 | | 2022 |
| Food Consumption Data Protection S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
| Data Ownership in Food-Related Information S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
| Conclusion: A Responsible Food Innovation S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
| Current Trends, Machine Learning, and Food Safety Data Governance S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
| The P-SAFETY Model: A Unifying Ethical Approach S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
| Food, Big Data, Artificial Intelligence S Sapienza Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data …, 2022 | | 2022 |
