Observing AI Systems

This blog is an endeavour into exploring the Epistemology of AI systems. It applies second-order cybernetics to contemporary questions in AI development and deployment, examining how human observers and AI systems are always already entangled in recursive relationships that shape what we can know about artificial intelligence. Drawing inspiration from thoughtful practitioners like Hamel Husain, Eugene Yan, Jason Liu et al., these posts explore the epistemological dimensions of Human-AI interaction that resist purely technical analysis. Every claim about AI capabilities emerges from human observation conducted through language and conceptual frameworks, meaning we never encounter „pure“ AI systems but always Human-AI systems where the observer participates in constructing what is observed. Rather than providing definitive answers about what AI systems „really“ are, the blog posts develop frameworks for asking different questions about knowledge construction, meaning-making, the recursive dynamics between artificial and human intelligence, and cybern-ethics. The goal is to expand the space of productive inquiry for practitioners seeking inspiration from a theoretical approach to AI development, honoring both the genuine novelty of artificial intelligence and the irreducible role of human observation in making sense of that novelty. Readers will find no solutions here, but rather invitations to think „out-of-the-box“ about the strange new forms of technology in our times.