Mazzi, F. (2023) 'The Intersections Between Artificial Intelligence, Intellectual Property, and the Sustainable Development Goals', in Mazzi, F. (ed.) The 2022 Yearbook of the Digital Governance Research Group. Digital Ethics Lab Yearbook. Cham : Springer. pp. 39 - 50. ISBN 10: 3-031-28678-2. ISBN 13: 978-3-031-28677-3.

Mazzi, F. and Floridi, L. (2023) 'Introduction: Understanding the Ethics of Artificial Intelligence for the Sustainable Development Goals', in Mazzi, F. and Floridi, L. (eds.) Philosophical Studies Series. Cham : Springer. , 152. pp. 3 - 7. ISBN 10: 3-031-21147-2. ISBN 13: 978-3-031-21146-1.

Mazzi, F., Taddeo, M. and Floridi, L. (2023) 'AI in Support of the SDGs: Six Recurring Challenges and Related Opportunities Identified Through Use Cases', in Mazzi, F. and Floridi, L. (eds.) Philosophical Studies Series. Cham : Springer. , 152. pp. 9 - 33. ISBN 10: 3-031-21147-2. ISBN 13: 978-3-031-21146-1.

Mazzi, F. (2023) 'Concerted Actions to Integrate Corporate Social Responsibility with AI in Business: Two Recommendations on Leadership and Public Policy', in Schmidpeter, R. and Altenburger, R. (eds.) CSR, Sustainability, Ethics and Governance. Cham : Springer. pp. 251 - 266. ISBN 10: 3-031-09245-7. ISBN 13: 978-3-031-09244-2.

Mazzi, F., Adonis, A., Cowls, J., Tsamados, A., Taddeo, M. and Floridi, L. (2022) 'The UK reform of data protection: key changes and their ethical, social and legal implications'. International Journal of Law and Information Technology, 30 (3). pp. 269 - 279. ISSN: 0967-0769

Roberts, H., Cowls, J., Hine, E., Mazzi, F., Tsamados, A., Taddeo, M. and Floridi, L. et al. (2021) 'Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the US'. Science and Engineering Ethics, 27 (6). pp. 1 - 25. ISSN: 1353-3452 Open Access Link

Kolasa, K., Mazzi, F., Leszczuk-Czubkowska, E., Zrubka, Z. and Péntek, M. (2021) 'State of the art in adoption of contact tracing apps and recommendations regarding privacy protection and public health: Systematic review'. JMIR mHealth and uHealth, 9 (6). pp. 1 - 11. ISSN: 2291-5222 Open Access Link

Mazzi, F. (2021) 'CMOs and AI: Can trained machine learning be justified with the concept of know–how?'. World Patent Information, 65. pp. 1 - 6. ISSN: 0172-2190

Mazzi, F. (2020) 'Patentability of AI Generated Drugs'. European Pharmaceutical Law Review, 4 (1). pp. 17 - 33. ISSN: 2511-7157