Automated Testing for AI TL;DR Key Takeaways : Manual testing of AI applications is time-consuming, error-prone, and struggles to handle scalability, edge cases, and consistent performance evaluation.

AI tools produce high rates of care denial - in some cases, 16 times higher than is typical, according to a 2024 Senate committee report.