About
I'm Simon Enni, a Danish researcher, dad of three, and cyberspace enjoyer. My background's in computer science, and I've been doing interdisciplinary research at the intersection of technology and the humanities for the past decade. These days I spend my time loafing around on parental leave with our number three, vibe-coding some of those projects I've been putting off, and being ambivalent about this whole AI thing we're doing. Stay tuned!
Projects
Things I have built or am building.
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Noisy text
Experiments with implementing different kinds of text noise - that is, creative ways of gradually destroying text. It's ✨interactive✨!
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Lex.llm
Work on an LLM-based interfaces for Lex - The Danish National Encyclopedia.
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RetroPie cookbook
Making PC games run on a Raspberry Pi even (and especially) when they shouldn't. Motivated by wanting to play games on the TV with my kids and to spite the abomination that is the modern games industry.
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Stochastic Parrots (coming soon!)
A silly game about LLMs and how to mess with them.
Writing
Mostly academic articles... for now.
- Enni, Simon Aagaard, et al. "Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Dissemination." arXiv preprint arXiv:2606.20258 (2026).
- Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, and Marianne Graves Petersen. "From Demo to Design in Teaching Machine Learning." In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). 2022.
- Henriksen, Anne, Simon Enni, and Anja Bechmann. "Situated accountability: Ethical principles, certification standards, and explanation methods in applied AI." Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 2021.
- Enni, Simon Aagaard, and Maja Bak Herrie. "Turning biases into hypotheses through method: A logic of scientific discovery for machine learning." Big Data & Society 8.1 (2021): 20539517211020775.
- Enni, Simon, and Ira Assent. "Learning by design: Structuring and documenting the human choices in machine learning development." arXiv preprint arXiv:2105.00687 (2021).