Andrea Filippo Ferraris

Pubblicazioni antecedenti il 2004

• Ferraris, A. F., Audrito, D., Caro, L. D., & Poncibò, C. (2025). The architecture of language: Understanding the mechanics behind LLMs. Cambridge Forum on AI: Law and Governance, 1, e11. doi:10.1017/cfl.2024.16. Retrieved from https://www.cambridge.org/core/journals/cambridge-forum-on-ai-law-and-governance/article/architecture-of-language-understanding-the-mechanics-behind-llms/E3DDEFB9C04883733380E04331D6F782
• Audrito, D., Ferraris, A. F., Bonicco, P., Piovano, A., & Siragusa, G. (2024). Leveraging LLMs to support contractual analysis. Jurix 2024: CLAIRvoyant ConventicLE on Artificial Intelligence Regulation. (Forthcoming)
• Ferraris, A. F., Audrito, D., Siragusa, G., & Piovano, A. (2024). Legal chunking: Evaluating methods for effective legal text retrieval. Main Conference - JURIX 2024. (Forthcoming)
• Aspromonte, M., Ferraris, A. F., Galli, F., & Contissa, G. (2024). LLMs to the rescue: Explaining DSA statements of reason with platform’s terms of services. EMNLP: NLLP Workshop 2024. (Forthcoming)
• Boudewijn, A., & Ferraris, A. F. (2024). Legal and regulatory perspectives on synthetic data as an anonymization strategy. Journal of Personal Data Protection Law, Tsibilli, Georgia. Retrieved from https://journal.pdps.ge/?cat=nomer&leng=eng&adgi=480
• Governatori, G., Amantea, I. A., Molinari, M., Quaranta, M., Vignoni, S., Ferraris, A. F., Contissa, G., Palmirani, M., Busso, M., & Grosso, M. (2024). Fair shifts by the rule: A rule-based compliance methodology for medical rosters. Rule Challenge at RuleML+RR 2024. (Forthcoming)
• Panfilo, D., Boudewijn, A. T. P., Ferraris, A. F., et al. (2024). Measuring privacy protection in structured synthetic datasets: A survey. In Hideyuki ("Yuki"), & De Hert, P. (Eds.), Privacy and Data Protection: Ideas That Drive Our Digital World. Retrieved from https://www.bloomsbury.com/uk/data-protection-and-privacy-volume-16-9781509975983/
• Boudewijn, A. T. P., Ferraris, A. F., Panfilo, D., et al. (2023). Privacy measurement in tabular synthetic data: State of the art and future research directions. NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI. Retrieved from https://arxiv.org/abs/2311.17453
• Ferraris, A. F., & Audrito, D. (2023). Fostering legal compliance through Business Process Model and Notation (BPMN): A Digital Services Act case-study. 2nd Knowledge Management for Law Workshop. Retrieved from https://ceur-ws.org/Vol-3637/paper17.pdf
• Ferraris, A. F., Audrito, D., & Sulis, E. (2023). Fostering legal compliance through legal design: A Digital Services Act case-study. CERC 2023: Collaborative European Research Conference, September 09–10, 2023, Barcelona, Spain. (Forthcoming)
• Ferraris, A. F., & Martinelli, S. (2022). Piattaforme e Intelligenza Artificiale. In S. Martinelli & C. Rossi Chauvenet (Eds.), Legal Tech, Contract Re-Design and Big Data per professionisti e imprese. Wolters Kluwer. Retrieved from https://www.ibs.it/legal-tech-contract-re-design-ebook-vari/e/9788821779879