The topic Why AI Systems Fail Quietly is currently the subject of lively discussion — readers and analysts are keeping a close eye on developments.
This is taking place in a dynamic environment: companies’ decisions and competitors’ reactions can quickly change the picture.
Ben — I actually wrote this myself. I get why it might read that way though. I kept it pretty high-level on purpose for the IEEE Spectrum audience, since the idea cuts across a lot of different systems.
On the examples — fair point. I kept them light mainly because of the length and format, but this shows up in pretty concrete ways in practice. Things like workflows where each step is technically correct but the sequence drifts, or automation reacting to signals in ways that make the overall system worse over time. Happy to share more if you’re interested.
This reads like it was written by AI. I wish it had some examples or personal anecdotes.
