Test, test, test
- Conduct rigorous unit tests to test each component of the system in isolation.
- Conduct integration tests to understand how individual ML components interact with other parts of the overall system.
- Proactively detect input drift by testing the statistics of the inputs to the AI system to make sure they are not changing in unexpected ways.
- Use a gold standard dataset to test the system and ensure that it continues to behave as expected.
- Conduct iterative user testing to incorporate a diverse set of users’ needs in the development cycles.
- Build quality checks into a system.
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