#5: Is Data Science Neutral? [spoiler: NO! and here's why you should care] (with Dr. Ben Green)

In this episode, I interview Dr. Ben Green about why data science isn't neutral, why everyday people NEED to understand it, and what social studies can teach data science.

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This episode covers:

1. Why algorithms and data science are not neutral
2. How algorithms reproduce inequality and social injustice
3. Why data scientists are political actors
4. How to spot AI ethics washing and why human oversight isn't enough
5. How Big Tech prioritizes profit over people and why AI's future isn't inevitable
6. How we can fight algorithmic harm through regulation, collective action, and responsible AI development

PHEW, and that's it! 😮‍💨

I hope you learn a lot and ENJOY this episode!

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And let me know down in the comments: WHAT WAS YOUR MAIN TAKEAWAY FROM THIS EPISODE?

EXTRA RESOURCES

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GUEST RESOURCES

• Personal site: https://www.benzevgreen.com/
• Book: https://mitpress.mit.edu/9780262055703/algorithmic-realism/
• LinkedIn: https://www.linkedin.com/in/benzevgreen
• Bluesky: https://bsky.app/profile/benzevgreen.bsky.social
• Link to paper about how to fight against AI hype: https://ojs.aaai.org/index.php/AIES/article/view/43175

Art Is Not a Thing
From media art to digital activism: art as critical inquiry and world-building.

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