# AI Engineering Podcast

Tobias Macey

## Table of Contents

Software systems power much of the modern world. For applications that impact the safety and well-being of people there is an extra set of precautions that need to be addressed before deploying to production. If machine learning and AI are part of that application then there is a greater need to validate the proper functionality of the models. In this episode Erez Kaminski shares the work that he is doing at Ketryx to make that validation easier to implement and incorporate into the ongoing maintenance of software and machine learning products.

Validating Machine Learning Systems For Safety Critical Applications With Ketryx - YouTube  
[Validating Machine Learning Systems For Safety Critical Applications With Ketryx](https://www.youtube.com/watch?v=brNp3vnA7cs)

### Interview transcript

Tobias Macey

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[You Can't Validate AI You Don't Control: Closing the Context Gap in Regulated Development](/content/blog/you-cant-validate-ai-you-dont-control-closing-the-context-gap-in-regulated-development/index.html)

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