Explore the challenges and best practices for testing AI-powered applications in this 27-minute conference talk from DevConf.CZ 2024. Delve into practical, real-world examples that illustrate the unique challenges posed by AI systems, including clarity, fairness, and robustness. Learn how these factors impact testing strategies and discover effective methods for understanding AI systems beyond viewing them as black boxes. Examine the critical role of data in AI applications and gain insights into ensuring data quality and accuracy. Designed for developers, testers, data scientists, and professionals involved in AI-driven application development, acquire valuable knowledge on implementing robust testing practices to build trust and mitigate risks in AI systems.