Avriel Epps: Teaching Kids About AI Bias

Avriel Epps: Teaching Kids About AI Bias

Author: Helen and Dave Edwards July 13, 2025 Duration: 50:51

In this conversation, we explore AI bias, transformative justice, and the future of technology with Dr. Avriel Epps, computational social scientist, Civic Science Postdoctoral Fellow at Cornell University's CATLab, and co-founder of AI for Abolition.

What makes this conversation unique is how it begins with Avriel's recently published children's book, A Kids Book About AI Bias (Penguin Random House), designed for ages 5-9. As an accomplished researcher with a PhD from Harvard and expertise in how algorithmic systems impact identity development, Avriel has taken on the remarkable challenge of translating complex technical concepts about AI bias into accessible language for the youngest learners.

Key themes we explore:

- The Translation Challenge: How to distill graduate-level research on algorithmic bias into concepts a six-year-old can understand—and why kids' unfiltered responses to AI bias reveal truths adults often struggle to articulate

- Critical Digital Literacy: Why building awareness of AI bias early can serve as a protective mechanism for young people who will be most vulnerable to these systems

- AI for Abolition: Avriel's nonprofit work building community power around AI, including developing open-source tools like "Repair" for transformative and restorative justice practitioners

- The Incentive Problem: Why the fundamental issue isn't the technology itself, but the economic structures driving AI development—and how communities might reclaim agency over systems built from their own data

- Generational Perspectives: How different generations approach digital activism, from Gen Z's innovative but potentially ephemeral protest methods to what Gen Alpha might bring to technological resistance

Throughout our conversation, Avriel demonstrates how critical analysis of technology can coexist with practical hope. Her work embodies the belief that while AI currently reinforces existing inequalities, it doesn't have to—if we can change who controls its development and deployment.

The conversation concludes with Avriel's ongoing research into how algorithmic systems shaped public discourse around major social and political events, and their vision for "small tech" solutions that serve communities rather than extracting from them.

For anyone interested in AI ethics, youth development, or the intersection of technology and social justice, this conversation offers both rigorous analysis and genuine optimism about what's possible when we center equity in technological development.

About Dr. Avriel Epps:

Dr. Avriel Epps (she/they) is a computational social scientist and a Civic Science Postdoctoral Fellow at the Cornell University CATLab. She completed her Ph.D. at Harvard University in Education with a concentration in Human Development. She also holds an S.M. in Data Science from Harvard’s School of Engineering and Applied Sciences and a B.A. in Communication Studies from UCLA.

Previously a Ford Foundation predoctoral fellow, Avriel is currently a Fellow at The National Center on Race and Digital Justice, a Roddenberry Fellow, and a Public Voices Fellow on Technology in the Public Interest with the Op-Ed Project in partnership with the MacArthur Foundation.

Avriel is also the co-founder of AI4Abolition, a community organization dedicated to increasing AI literacy in marginalized communities and building community power with and around data-driven technologies. Avriel has been invited to speak at various venues including tech giants like Google and TikTok, and for The U.S. Courts, focusing on algorithmic bias and fairness.

In the Fall of 2025, she will begin her tenure as Assistant Professor of Fair and Responsible Data Science at Rutgers University.

Links:- Dr. Epps' official website: https://www.avrielepps.com

- AI for Abolition: https://www.ai4.org

- A Kids Book About AI Bias details: https://www.avrielepps.com/book


Hosted by Helen and Dave Edwards, Stay Human, from the Artificiality Institute is a conversation that lives in the messy, human space between our tools and our selves. Each episode digs into the subtle ways artificial intelligence is reshaping our daily decisions, our creative impulses, and even our sense of identity. This isn't a technical manual or a series of futuristic predictions; it's a grounded exploration of how we maintain our agency in a world increasingly mediated by algorithms. The podcast operates from a core belief: that our engagement with AI should be about more than just safety or efficiency-it needs to be meaningful and worthwhile. You'll hear discussions rooted in story-based research, where complex ideas about cognition and ethics are unpacked through relatable narratives and real-world examples. The goal is to provide a framework for thoughtful choice, helping each of us consciously design the relationship we want with the machines in our lives. Tuning in offers a chance to step back from the hype and consider how we can actively remain the authors of our own minds, preserving what makes us uniquely human even as the technology evolves. It's an essential listen for anyone curious about the personal and philosophical dimensions of our digital age.
Author: Language: en-us Episodes: 100

Stay Human, from the Artificiality Institute
Podcast Episodes
Chris Messina: Reimagining AI [not-audio_url] [/not-audio_url]

Duration: 53:20
In this episode, we sit down with the ever-innovative Chris Messina—creator of the hashtag, top product hunter on Product Hunt, and trusted advisor to startups navigating product development and market strategy.Recording…
D. Graham Burnett: Attention and much more... [not-audio_url] [/not-audio_url]

Duration: 1:12:25
D. Graham Burnett will tell you his day job is as a professor of science history at Princeton University. He is also co-founder of the Strother School of Radical Attention and has been associated with the Friends of Atte…
Michael Levin—The Future of Intelligence: Synthbiosis [not-audio_url] [/not-audio_url]

Duration: 1:18:01
At the Artificiality Summit 2024, Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute, gave a lecture about the emerging field of diverse intelligence and his f…
Artificiality Keynote at the Imagining Summit 2024 [not-audio_url] [/not-audio_url]

Duration: 14:46
Our opening keynote from the Imagining Summit held in October 2024 in Bend, Oregon. Join us for the next Artificiality Summit on October 23-25, 2025! Read about the 2024 Summit here: https://www.artificiality.world/the-i…
DeepSeek: What Happened, What Matters, 
and Why It’s Interesting [not-audio_url] [/not-audio_url]

Duration: 25:58
First: - Apologies for the audio! We had a production error… What’s new: - DeepSeek has created breakthroughs in both: How AI systems are trained (making it much more affordable) and how they run in real-world use (makin…
Hans Block & Moritz Riesewieck: Eternal You [not-audio_url] [/not-audio_url]

Duration: 44:51
We’re excited to welcome writers and directors Hans Block and Moritz Riesewieck to the podcast. Their debut film, ‘The Cleaners,’ about the shadow industry of digital censorship premiered at the Sundance Film Festival in…
How AI Affects Critical Thinking and Cognitive Offloading [not-audio_url] [/not-audio_url]

Duration: 30:44
Briefing: How AI Affects Critical Thinking and Cognitive Offloading What This Paper Highlights - The study explores the growing reliance on AI tools and its effects on critical thinking, specifically through cognitive of…
J. Craig Wheeler: The Path to Singularity [not-audio_url] [/not-audio_url]

Duration: 51:28
We’re excited to welcome Craig Wheeler to the podcast. Craig is an astrophysicist and Professor at the University of Texas at Austin. Over his career, he has made significant contributions to our understanding of superno…
Doyne Farmer: Making Sense of Chaos [not-audio_url] [/not-audio_url]

Duration: 55:46
We’re excited to welcome Doyne Farmer to the podcast. Doyne is a pioneering complexity scientist and a leading thinker on economic systems, technological change, and the future of society. Doyne is a Professor of Complex…