AI Software Testing: Key Strategies and Tools for Ensuring Quality in AI Applications
AI software testing is integral to ensuring the effectiveness, reliability, and safety of AI-based applications. AI systems are often complex, and they evolve over time as they learn from new data. Therefore, traditional testing methods may not be enough to ensure their functionality and performance. Inadequate testing can lead to unpredictable results, errors, and even catastrophic failures in real-world applications.