AI Systems Can Fail; Here's How to Fix Them

AI systems, while exciting for new capabilities, can also cause existing processes and systems to break. Every AI tool comes with a disclaimer that it can make mistakes, and workflows that function one day may fail the next. Unlike traditional software, AI systems are not set-it-and-forget-it; even those appearing to work fine need occasional check-ins or fine-tuning.

AI systems can fail in predictable ways. For instance, a connection to an external tool like email might expire, or a system might require a computer to be on and awake for tasks to run. These failures often result in an error message or the output never appearing. Such issues are generally easy to address by reconnecting and retrying the process. The author relies heavily on AI scheduling, indicating the practical implications of these potential failures.