How Do We Test AI models and software? Ensuring Quality and Reliability in a New Era of Development

As AI and machine learning become integral to modern software development, the challenge of testing these complex systems has taken center stage. Traditional testing methods are often insufficient for AI models, where outcomes can be unpredictable and the learning processes are dynamic. Ensuring the reliability, fairness, and security of AI-driven applications requires a new approach to testing—one that accounts for the unique characteristics of AI and its potential impacts.