Ethics and AI: Identifying and preventing bias in predictive models

As we explore more sophisticated ways to make smarter, more accurate decisions, the use of data and predictive models has been at the forefront of innovation. But what happens when our use of data, and modeling, inadvertently hurts those who need the most protection? In this session, we'll explore how bias and discrimination is introduced into models, and different strategies to prevent it from happening to you.


To raise awareness and inform of the risks in creating predictive models that might be damaging to the very people they're trying to protect.