AI Reliability in Security: A New Data Science Paradigm
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Description
The video covers the topic of AI reliability in security, exploring how it is a new data science paradigm. The speaker explains that AI reliability is crucial for maintaining security, as it helps identify potential issues before they become major problems. They introduce proposed mathematical models for measuring AI reliability, including mean time to decay and TDD. The video also discusses the importance of establishing baseline monitors in DevOps and MLOps to ensure AI reliability. The speaker highlights that these monitors are the foundation of AI reliability and will help the audience understand how to implement key monitors in their own systems.