New Ways to Effectively Manage Risk in Machine Learning

Machine learning (ML) is becoming increasingly prevalent across industries, creating new types and new levels of risk. Managing this risk is quickly becoming the central challenge of major organizations, one that strains data science teams, legal personnel, and the C-suite alike. How organizations approach managing this risk will determine their ability to fully make use of ML, and in some cases, their long-term success or failure.

In this video, Immuta CPO Andrew Burt shares key lessons from past regulations focused on complex, opaque technology, along with a proposal for new ways to effectively manage risk in ML.