Mark d’Inverno

Professor

Websites

Office

JC3_148

Telephone

(852) 3411-2268

E-mail

dinverno@hkbu.edu.hk

OVERVIEW

Mark d’Inverno is an interdisciplinary researcher at the interface of music performance, improvisation, participatory design, AI, ethics and the humanities.

Mark completed a BA in mathematics at St Catherine’s College, Oxford University, followed by an MSc in Computing. He then joined University College London (UCL), where he completed a PhD in Symbolic Artificial Intelligence entitled “Agents, Agency and Autonomy.”

According to Google Scholar, Mark has published over 150 peer-reviewed articles, charting an early career in mainstream theoretical computer science research that spans symbolic AI and Formal Specification, which has become increasingly interdisciplinary over the last two decades with a strong focus on music and creativity.

His interest in interdisciplinary research stems from his tenure as Director of Research at Goldsmiths (Pro-Warden (PVC) Research and Enterprise) between 2013 and 2017, as well as his four decades of professional experience as a musician.

He has received critical acclaim as a jazz pianist (including BBC National Radio stations, Jazz FM, BBC Music Magazine, The Guardian, The Observer and specialist Jazz magazines) and has performed nationally and internationally since the 1980s.

Mark has a strong track record in public engagement, including appearances on BBC National TV, BBC National Radio, New Scientist Live, Sky Arts TV, and various international concerts, keynotes, and workshops. He aims to connect with diverse audiences, often at the piano, drawing on his experiences as a musician to discuss the opportunities and challenges of using AI to support human creativity.

Recent invited talks on the interface of AI with creativity, music, ethics and learning include “ARMON.IA - Workshop Creativity and Improvisation with AI” (Barcelona 2025), "Jazz I Am" Conference (Barcelona, 2023 and 2024), Creative Machine (Jesus College, Oxford University, 2023), EdTech World Forum (London, 2022 & 2023), AI for Good Conference (2022), LEGO Ideas Conference 2020, Music Most Wanted Festival (Berlin, 2019), and The Conference, (Malmo, 2019).

He has a track record of supporting interdisciplinary and arts-based research nationally and internationally, recognising its criticality as part of any groundbreaking and forward-reaching research ecosystem. He was the Deputy Convenor for the Creative Arts, Performing Arts, and Design Panel of the Hong Kong Research Assessment Exercise 2020, which involved drafting the Panel-specific Guidelines, selecting the Panel, and overseeing the assessment and reporting process.

UGC invited him to take on the same role for the 2026 exercise, and since taking up the full-time role in the academy of music, he has stepped down and taken on a role as a local Panel Member.

He was on the Interdisciplinary Research Advisory Panel (IDAP) for the UK’s REF 2021 and joined the Research Diversity Advisory Panel for REF 2029. Furthermore, he worked as a senior member of the interdisciplinary research assessment college (as Rover and Panel Chair) for UKRI's innovative cross-council interdisciplinary research pilot scheme from its inception in 2023. He co-founded the UK’s Practice Research Advisory Group (PRAG UK) back in 2018 to support the diversity of research practice in the UK research ecosystem.

He has led a wide range of national and international interdisciplinary research projects funded by the UK and EU. He holds honorary professorial research positions at the Instituto de Investigación en Inteligencia Artificial (IIIA), Universitat Autònoma de Barcelona, Spain, and the Dip. di Elettronica Informazione e Bioingegneria, Politecnico di Milano, Italy, and is a member Academia Europea (The Academy of Europe).

Interests

  • Performance
  • Improvisation
  • Creativity
  • Interdisciplinary research
  • Creative practice as research
  • Participatory Design of New Technologies for Improvisation and Performance
  • Human/human vs human/machine improvisation
  • The value alignment problem: Computational modelling of human values