AI Tester's Toolkit
25 min5 sessions
technologyprogrammingbusiness
Discover the critical role of AI testing and data annotation. You'll learn how to evaluate AI systems, identify bias, and ensure quality, making you a vital part of the AI development process.
What you'll achieve
Explain why AI testing and data annotation are crucial for reliable AI systems.
Identify key evaluation criteria for chatbots, including accuracy, coherence, and safety.
Understand best practices for data labeling and the importance of Inter-Annotator Agreement (IAA).
Recognize common sources of AI bias and methods for its detection.
Describe the various stages of Quality Assurance (QA) for AI systems.
Critically assess real-world examples of AI successes and failures.
Formulate questions to identify potential flaws in AI-driven applications.