What is AI Quality? - Understanding Standards and Testing in AI Systems

Explore the concept of AI Quality in this 46-minute podcast episode featuring Mohamed Elgendy, Co-founder & CEO of Kolena Inc. Dive into discussions on domain-specific quality standards, the importance of performance alignment with intended functionality, and the need for comprehensive quality checks in AI systems. Learn about the challenges of edge deployments, the formation of gold standards for AI, and the necessity for collaboration among AI builders, regulators, and infrastructure firms. Discover insights on the upcoming AI Quality Conference, the urgent need for diversity in tech, and the pivotal role of testing in AI and machine learning. Gain valuable perspectives on how enhanced testing can streamline the entire machine learning process and the importance of adapting quality standards to different product characteristics.

[] Mo's preferred coffee
[] Takeaways
[] See you all in San Francisco on June 25!
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[] AI Quality in Mo's eyes
[] Quality Standards for Software
[] Common Chatbot Functionality
[] The Birth of Innovation
[] Transforming Insights into Standards
[] Testing: One step to quality
[] Two different data points to be harmonized
[] Model cards
[] Test Coverage Democratizes Collaboration
[] Representation matters
[] Wrap up