Philosophy of computational systems · Epistemology and research methods · Notes from a decade in policy and tech
Hi, I’m Rebekah (Bek) Kulidzan. I’ve spent over a decade building commercial and technical functions from scratch across AI, cloud, policy, research and web3.
Alongside my day job, I’m returning to the questions I started exploring at university and have lived first hand in my career since. How computational systems shape the way we think, trust and decide. Ten years of building with these technologies has only made these questions more pressing. I write about them here from time to time.
I invest my own capital in sustainability-led and female-founded businesses outside of tech and finance. I’m also a trained life coach, and sometimes write here about non-linear careers.
Research interests
- Trust in computational systems, and how AI and decentralised finance (DeFi) shift it from institutions into code and models
- The epistemology of AI, and when it makes sense to rely on what a model tells us
- Rationality in system design, and the assumptions about people built into protocols, models and incentives
- Structure before meaning, and how ontologies, schemas and categories shape what a system can represent
- The philosophy of social science methods, and how we study the people and systems we’re trying to understand
- Kant and computation, using his ideas of synthesis, categories and schematism to make sense of machine outputs