What W.E.B. Du Bois Knew That AI Still Doesn’t: A Masterclass in Data Strategy and Ethics

BetaNYC is a proud Community Partner for the first webinar in the “Reclaim the Algorithm” series, a joint effort between Modular Feedback and NYU McSilver Institute for Poverty Policy Research, to highlight social justice work in AI and data science.

W.E.B. Du Bois practiced data science and data storytelling over a century ago in ways that still outclass much of what we see related to AI today.

There’s a common assumption that newer technology means better outcomes. But the reality is more complex: the mathematical foundations behind today’s AI systems are often centuries old, and the choices we make in applying them have profound implications for ethics, equity, and lived experience.

In our first Reclaim the Algorithm webinar, inspired by Du Bois’s power as a data-driven storyteller and scientist, we explore what modern leaders, practitioners, and researchers can learn from his approach:

• How Du Bois used powerful, visually striking data visualizations to influence public understanding
• What his statistical thinking reveals about gaps in today’s AI and healthcare modeling
• How to apply ethical data practices and governance in today’s AI-driven world

Hear from data science and machine learning experts Allen Hillery, Dr. Brandeis Marshall, and Anthony Starks, in a complex conversation directed by Dr. Kara Emery, Director of Data Science at NYU McSilver’s AI Hub, and Chris Hemphill, Founder and Head of Data Science at Modular Feedback and NYU McSilver Fellow.

Note on Inclusion: Our events and initiatives are open to individuals of all backgrounds and identities. What W.E.B. Du Bois Knew That AI Still Doesn’t is intended for all individuals who work on or are interested in learning more about ethical data science and machine learning.

Note on Special Accommodations and Accessibility: It is our priority to make our events inclusive and accessible. Individuals requiring accommodations have the opportunity to make these known upon registering. You may also notify us of a request via email at mcsilver@nyu.edu at least 72 hours before the event.

Addressing Grievances: For information on our grievance and complaint procedures, contact (212) 998-4300 or mcsilver@nyu.edu.