Consultant & Researcher
Responsible data and AI by day, philosophy by night. As a consultant, I work on the social and ethical impact of data and AI on organizations and their stakeholders. As a philosopher, I conduct research into conceptual ethics and the concepts we use to think about artificial intelligence.
In practice
October 2024 – present
I advise public and governmental organisations on ethical, sustainable and accountable use of data and AI. That means developing resources, training material and frameworks for dealing with data and AI responsibly. Previous clients include the municipality of Rotterdam and the Intergovernmental Data Strategy (Interbestuurlijke Datastrategie).
I also co-chair the National Coalition for Sustainable Digitalisation's (Nationale Coalitie Duurzame Digitalisering) Sustainable AI working group.
Before this I worked as a consultant in asset management information modelling, standardising municipal data on public space management. I contributed to the development and application of those standards and chaired a committee on standards alignment.
In research
Vrije Universiteit Amsterdam · December 2025 – present
I am a part-time PhD student at the department of philosophy of the Vrije Universiteit Amsterdam. I am supervised by Guido Löhr and Lieven Decock. My current research focuses on what pragmatist approaches to conceptual ethics could be, how to solve conceptual problems related to AI by means of conceptual ethics, and the philosophy of AI in general. The guiding question: what does an ethics of conceptualization look like that centralizes the authority of concept users themselves over their thinking and talking and is fit for dealing with practical problems?
Earlier work includes papers on decolonial AI, AI and epistemic injustice, AI and the philosophy of literature, and the philosophy of Ludwig Wittgenstein.
In training
Thesis: 'AI colonialism' is a conceptual metaphor. Preceded by the premaster's programme in Informatics and Artificial Intelligence.
Thesis: Mereology, Methodology and Psychology at the Intersection of Philosophy and Neuroscience. Minor: The Computing Brain.
In life
Publications
Also on PhilPeople · Google Scholar · ORCID
Philosophy & Technology 39: 41
Philosophy & Technology 39: 10
Journal of Artificial Intelligence and Consciousness · preprint on arXiv
In Routledge Handbook of International Security Studies and Artificial Intelligence: Critical Insights
Philosophy & Technology 38: 168
AI and Ethics 5: 5535–5555
Under review · PhilPapers
Beyond Code 1 · public writing
Theoria 90(6): 603–623
International Review of Literary Studies 6(1): 39–55
Open Journal of Social Sciences 12(2): 574–603
European Journal of Language and Literature 10(1): 60–80
UDENRIGS III · public writing
Research MSc thesis, Utrecht University
Responsible Sensing Lab & Utrecht University · report
Areas of specialisation
Pragmatist approaches to the ethics of conceptualization, and how conceptual ethics can dissolve conceptual problems raised by AI — including whether AI-based framings of the human domain succeed at all.
A taxonomy of AI-related epistemic injustice, and the case for generative hermeneutical erasure — the suppression of epistemic difference by large language models.
AI colonialism and decolonisation as disenclosure, and the epistemic marginalisation of the global South in AI governance.
Distant writing and the reader's constitutive role in AI-generated literature, Calvino's literature machine, and what authorship becomes once narrative production is de-anthropomorphized.
Certainty, the riverbed analogy and the limits of Left Wittgensteinianism as an account of conceptual change; whether large language models count as language users in Wittgenstein's sense, and what follows if they do.
Speaking, teaching & service
Reviewer for
Contact
Open to collaborations, reviewing, speaking invitations and conversations about responsible data and AI in the public sector. The quickest route is email or LinkedIn.