Mr Alessio Azzutti

  • Lecturer in Law and Technology (Law)

telephone: 0141 330 7469
email: Alessio.Azzutti@glasgow.ac.uk

Room 435, Sir Alexander Stone Building,, 16 University Gardens, Glasgow, G12 8QH

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-5438-2820

Biography

Alessio Azzutti is a Lecturer in Law and Technology (FinTech) at the University of Glasgow. With a multidisciplinary academic foundation, he holds a B.A. in Business Administration and an M.Sc. in Finance and Risk Management from the Università degli Studi di Firenze, an LL.M. in Law and Economics from Utrecht University, and a Doctorate in Law (cum laude) from Universität Hamburg. 

Before joining the University of Glasgow, Alessio served as a Research Associate in the 'Law, Finance, and Technology' programme at the Institute of Law and Economics, University of Hamburg (2019-22), and later at the Centre for Banking & Finance Law at the National University of Singapore (2022-23). 

At Glasgow, he is an active member of the Corporate and Finance Law Research Group. In his research, Alessio integrates insights and theories from various disciplines, including law, finance, socio-economics, and information technology. Alessio's research agenda seeks to advance projects and initiatives that promote interdisciplinary collaboration and innovative research approaches.

 

Publications

List by: Type | Date

Jump to: 2024 | 2022 | 2021
Number of items: 8.

2024

Azzutti, A. , Batista, P. M. and Ring, W.-G. (2024) Good administration in AI-enhanced banking supervision: a risk-based approach. Columbia Journal of European Law, 29(3), pp. 434-497.

Azzutti, A. (2024) AI governance and algorithmic trading: some regulatory insights from the EU AI Act. Banking and Finance Law Review, (Accepted for Publication)

Azzutti, A. (2024) Artificial intelligence and machine learning in finance: key concepts, applications, and regulatory considerations. In: Baker, H. K., Filbeck, G. and Black, K. (eds.) Emerald Handbook on FinTech: Reshaping Finance. Emerald Publishing Limited. ISBN 9781837536108 (In Press)

2022

Azzutti, A. (2022) The algorithmic future of EU market conduct supervision: a preliminary check. In: Böffel, L. and Schürger, J. (eds.) Digitalisation, Sustainability, and the Banking and Capital Markets Union: Thoughts on Current Issues of EU Financial Regulation. Series: EBI Studies in Banking and Capital Markets Law. Palgrave Macmillan, pp. 53-98. ISBN 9783031170768 (doi: 10.1007/978-3-031-17077-5_2)

Ringe, W.-G., Azzutti, A. and Stiehl, S. (2022) Künstliche Intelligenz und Marktmanipulation. Zeitschrift für Bankrecht und Bankwirtschaft, 34(6), pp. 341-356. (doi: 10.15375/zbb-2022-0604)

Azzutti, A. , Ringe, W.-G. and Stiehl, H. S. (2022) The Regulation of AI Trading from an AI Life Cycle Perspective. Working Paper. The European Banking Institute. (doi: 10.2139/ssrn.4260423).

Azzutti, A. (2022) AI trading and the limits of EU law enforcement in deterring market manipulation. Computer Law and Security Review, 45, 105690. (doi: 10.1016/j.clsr.2022.105690)

2021

Azzutti, A. , Ringe, W.-G. and Stiehl, H.S. (2021) Machine learning, market manipulation and collusion on capital markets: why the "black box" matters. University of Pennsylvania Journal of International Law, 43(1), pp. 79-135.

This list was generated on Thu Nov 21 05:14:22 2024 GMT.
Jump to: Articles | Book Sections | Research Reports or Papers
Number of items: 8.

Articles

Azzutti, A. , Batista, P. M. and Ring, W.-G. (2024) Good administration in AI-enhanced banking supervision: a risk-based approach. Columbia Journal of European Law, 29(3), pp. 434-497.

Azzutti, A. (2024) AI governance and algorithmic trading: some regulatory insights from the EU AI Act. Banking and Finance Law Review, (Accepted for Publication)

Ringe, W.-G., Azzutti, A. and Stiehl, S. (2022) Künstliche Intelligenz und Marktmanipulation. Zeitschrift für Bankrecht und Bankwirtschaft, 34(6), pp. 341-356. (doi: 10.15375/zbb-2022-0604)

Azzutti, A. (2022) AI trading and the limits of EU law enforcement in deterring market manipulation. Computer Law and Security Review, 45, 105690. (doi: 10.1016/j.clsr.2022.105690)

Azzutti, A. , Ringe, W.-G. and Stiehl, H.S. (2021) Machine learning, market manipulation and collusion on capital markets: why the "black box" matters. University of Pennsylvania Journal of International Law, 43(1), pp. 79-135.

Book Sections

Azzutti, A. (2024) Artificial intelligence and machine learning in finance: key concepts, applications, and regulatory considerations. In: Baker, H. K., Filbeck, G. and Black, K. (eds.) Emerald Handbook on FinTech: Reshaping Finance. Emerald Publishing Limited. ISBN 9781837536108 (In Press)

Azzutti, A. (2022) The algorithmic future of EU market conduct supervision: a preliminary check. In: Böffel, L. and Schürger, J. (eds.) Digitalisation, Sustainability, and the Banking and Capital Markets Union: Thoughts on Current Issues of EU Financial Regulation. Series: EBI Studies in Banking and Capital Markets Law. Palgrave Macmillan, pp. 53-98. ISBN 9783031170768 (doi: 10.1007/978-3-031-17077-5_2)

Research Reports or Papers

Azzutti, A. , Ringe, W.-G. and Stiehl, H. S. (2022) The Regulation of AI Trading from an AI Life Cycle Perspective. Working Paper. The European Banking Institute. (doi: 10.2139/ssrn.4260423).

This list was generated on Thu Nov 21 05:14:22 2024 GMT.

Supervision

  • Shang, Pengzhao
    A study of the relationship between innovation and regulation in fintech regulatory cooperation in the great bay area of China

Teaching

Alessio teaches a range of subjects across the Law School and Business School. He is the course convenor for the LL.M. in FinTech Law and Regulation, the M.Sc. in FinTech Regulation, and the Microcredential in AI & RegTech. Additionally, he co-teaches the LL.M. courses in International Financial Regulation (with Professor Javier Solana) and AI & Law (with Dr. Zihao Li).

Professional activities & recognition

Editorial boards

  • 2024 - 2024: Banking & Finance Law Review

Additional information

Alessio is dedicated to creating real-world impact through both research and teaching. He is committed to contributing to the well-being of society and supporting the academic community. Actively collaborating with regulatory bodies and industry stakeholders, his work on AI and finance informs policy discussions and is often cited by regulatory authorities.