Hello Monday with Jessi Hempel The Myth of AI Taking Your Job—and What’s Actually Happening Instead
Feb 9, 2026
Dr. Rumman Chowdhury, a leader in responsible AI and co-founder of Humane Intelligence, talks about how human choices—not machines—shape work. Conversations cover what responsible AI looks like inside companies. She explores algorithmic bias, the rise and fall of trust in Big Tech, why fear of AI often misfires, and how people can reclaim agency by learning and engaging with these tools.
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From Poli‑Sci To Data Science
- Rumman described moving from political science into data science because she wanted context for quantitative work.
- She framed data science as understanding human behavior via data, similar to political science.
Bias Bounty Breakthrough
- At Twitter, Rumman created the first algorithmic bias bounty to crowdsource model issues.
- The program modeled bug bounties and revealed problems the internal team could not fully foresee.
When Trust Teams Were Cut
- After Elon Musk's takeover, most of Rumman's team was laid off and responsibility teams shrank industrywide.
- She noted policy, trust, and safety teams were cut as cost centers while product roles stayed.
