AI Robustness Testing
AI Robustness Testing involves evaluating the ability of artificial intelligence systems to maintain performance and reliability under various challenging conditions, such as adversarial attacks, noisy or incomplete data, or changes in the environment. This type of testing aims to identify vulnerabilities and weaknesses in AI algorithms and models, in order to enhance their resilience and ensure their effectiveness in real-world scenarios.