Testing Applications That Use AI
summary
Covers testing of applications that use artificial intelligence, identifying common errors in AI-powered apps and in typical AI tasks. Describes what, where and when to verify in such applications, outlines testing stages and levels, and discusses interpretability and steps to ensure users are satisfied and AI behavior is transparent; also suggests how to ask appropriate questions to ML engineers.
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chapters (8)
- 0:00AI app testing intro
- 4:43ML errors real cases
- 10:14Testing ML types
- 20:02Clustering & anomaly detection
- 27:58Regression pitfalls
- 30:10Testing generative networks
- 36:16What to test in AI apps
- 40:51Q&A
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