Ethics in Modern Data

Christine Assaf

This session will explore a variety of modern considerations that data scientists and data practitioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning. We’ll discuss examples from history and ripped from the headlines, including current topics like social justice, facial recognition, weblining, and more.