AI is eating the world. But corrupted data, drift, biased decisions, liabilities, and malicious actors regularly cause ML models to fail when making critical business decisions. This introduces risk to businesses, and importantly the people, affected by these failing models.

In this presentation, Yaron Singer (CEO & co-founder of Robust Intelligence) defines ML Integrity, explains why it's essential in order to confidently apply ML at scale, and discusses how to achieve it in your ML pipeline.