AI Application Testing
AI application testing involves the process of evaluating and assessing the functionality, performance, and reliability of artificial intelligence applications. This testing ensures that AI systems operate effectively, accurately, and securely in various real-world scenarios. It includes testing for data accuracy, algorithm efficiency, model training, and deployment, as well as monitoring for any potential biases or errors in the AI system. AI application testing is crucial for verifying the quality and effectiveness of AI technologies before they are implemented in production environments.
External Links
- [Casaba.com] Casaba Security - World-class AI, Cloud, and Application Security Testing and Governance.