From Automated ML to Composable ML BKG V2

Bringing Trust into AI

The stories of bias in AI are everywhere—Amazon’s discriminatory recruiting tool, Apple’s unfair credit card limits, Google’s skewed facial recognition. These stories increase the public’s mistrust in AI.

In this session, we’ll investigate the root cause of bias in machine learning and present DataRobot’s framework for implementing more trustworthy AI. You’ll come away with a greater awareness of how bias–both explicit and implicit–affects your organization and concrete plan to address it.

Watch this session to:

  • Understand the importance of trust in AI
  • Learn how to diagnose, correct, and prevent bias in AI
  • Get a practical plan for creating more trustworthy AI


Haniyeh Mahmoudian
Haniyeh Mahmoudian

Global AI Ethicist, DataRobot