Martin is currently a Training Fellow at the Centre for Data, Culture and Society, where he organises and delivers short courses and workshops on digital methods for staff and students.

Martin's PhD research project aims to develop and analyse a particular visual practice of artistic inquiry characterised by adversarial interventions with generative AI applications. Using a portfolio of new media work as a series of case studies, this project develops a theoretical contribution that offers a new perspective on the aesthetic, epistemic, evidential and translational value of art and design work that interrogates the ethical and cultural implications of generative AI.

The practice at the centre of this study is characterised by an intention to socialise the problematics identified in the humanities and social science scholarship on generative AI systems with either the public or with data scientists and engineers. It's methods, focussed on acting back on the model to evidence or demonstrate these arguments, are closely aligned with engineering practices. This interdisciplinary practice combines direct material investigation, by importing methods from computer security and the practices of red teaming, and the affective and experiential potential of aesthetic practice to produce cultural artefacts that evidence the problematics of these systems.