Comment by pron
2 days ago
At work, you can trust people to either get the right answer or tell you they may not have the right answer. If someone is not trustworthy, you don't work with them again. The experience of trying to work with something that is completely not trustworthy on all fronts is novel and entirely dissimilar to working with either people or tools.
People themselves don't know when they are wrong, and that is why high-functioning organizations have all sorts of guardrails in place. Trivial example, code reviews. Now, code reviews are multi-purpose, and their primary benefit is not just catching bugs, but they do catch bugs pretty often (there are actual studies about this.)
So my experience in working with AI is actually much more similar to working with people, except I have to correct the AI much less frequently.
I always say, AI is technology that behaves like people, and so the trick to working with it effectively is to approach it like working with a colleague, with all their specific quirks and skillsets, rather than a tool.