How waterfall thinking is undermining your AI governance – and what to do about it
Most organisations that have deployed AI at scale have governance documentation. Days later, their AI systems are doing things that none of that documentation anticipated.
Zen Ex Machina identifies the structural reason: most AI governance frameworks apply specification-based design to environments that require empirical adaptation — the same structural mistake that made waterfall software delivery brittle. This paper sets out the structural diagnosis and what empirical AI governance design requires.
