#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:
Why algorithms and data science are not neutral
How algorithms reproduce inequality and social injustice
Why data scientists are political actors
How to spot AI ethics washing and why human oversight isn't enough
How Big Tech prioritizes profit over people and why AI's future isn't inevitable
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