The Nuances of AI Testing: Learnings from AI red-teaming
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The Nuances of AI Testing: Learnings from AI red-teaming

Artificial Intelligence (AI) Testing is a complex field that transcends the boundaries of traditional performance testing. While AI developers are well-versed with performance testing due to its prevalence in the educational system, it is crucial to understand that AI encompasses much more than just performance. In this post, I’d like to list some key principles…

Model Validation and Monitoring: New phases in the ML lifecycle
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Model Validation and Monitoring: New phases in the ML lifecycle

Validation/testing and monitoring of the ML models might be a luxury in the past. But with the enforcement of the regulations on artificial intelligence, they are now indispensable parts of the machine learning pipeline. In the last decade, machine learning (ML) research and practice have gone a long way in establishing a common framework in designing systems and applications…