"AI failures"

Many enterprise AI outputs look polished and authoritative until you peel back the top layer and realize there isn’t much substance.

In the next wave of healthcare AI, differentiation will turn less on model sophistication and more on the quality and structure of the clini...

Start by figuring out if the systems organizations build around AI are designed to produce trustworthy outcomes. That's an architectural que...

While the model is often the first suspect for AI pilots stalling, the architecture is the more likely culprit.

Organizations need people who can turn AI capability into secure, measurable, governed production systems.

Meta has since fixed the exploit, but it's yet another example of AI doing it worse than humans.

Modern institutions increasingly govern through representations of reality rather than direct contact with reality itself.