What is testing of AI?
Testing of AI, or artificial intelligence, is a critical process. It ensures that AI systems behave as intended and give accurate results. AI testing goes beyond traditional software testing. It assesses the dynamic behavior of machine learning (ML) algorithms, neural networks, and decision-making processes. It evaluates AI models with diverse inputs to evaluate how well they handle different scenarios.
Testing scrutinizes the data used to train the model. It looks for any biases that might lead to unfair or undesirable outcomes. Testing also lets developers find and fix problems. This helps ensure AI is used ethically and builds trust with those who rely on it.
