Ensuring Quality in AI Development

In AI development, testing is crucial to ensure the quality of the code and the reliability of the system, similar to how it is essential in traditional software engineering. Human brains and AI neural networks function similarly, both involving summing inputs to produce outputs. Just like humans, AI can make mistakes, so applying quality processes like code reviews and unit tests is vital to maintain a high standard. Viewing AI as a collaborative partner that requires monitoring for errors, akin to working with a human collaborator, can lead to more successful results. Using AI can be like having a well-read individual who may not always pay close attention writing code, hence generating tests upfront based on intent before actual implementation can create a solid foundation for development.