Tests Aren't Enough to Control AI
Watch on YouTube Some will respond: ‘That's what tests are for.’ Aren't they enough? They're essential, but they're not enough. Tests verify what you decided to check. They don't automatically cover business intent, reputational impact, or every effect of a system connected to twenty others. So, which practices become
Some will respond: “That’s what tests are for.” Aren’t they enough? They’re essential, but they’re not enough. Tests verify what you decided to check. They don’t automatically cover business intent, reputational impact, or every effect of a system connected to twenty others. So, which practices become more valuable at this stage? First, small, reversible changes. Second, tests that cover important behavior, not just the implementation. Third, observability: being able to see what happens after deployment. And fourth, reviews where someone asks not only “Does it work?” but also “What are we assuming, and how will we know if that assumption was false?”
Full episode: https://youtu.be/4J0jTt1J5zM
🤖 AI-generated content: the script, voices, and images for this episode were produced using artificial intelligence tools.
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