The Hidden AI Sweatshops: How Kenyan Gig Workers Train Military AI Without Knowing episode artwork

EPISODE · Mar 8, 2026 · 7 MIN

The Hidden AI Sweatshops: How Kenyan Gig Workers Train Military AI Without Knowing

from Rethinking Tech · host Rethinking Tech

RT Updates Behind every powerful AI model is an invisible workforce — and the reality might be more controversial than you think.In this episode, we dive into the growing controversy around AI data labeling labor, after reports revealed that gig workers in countries like Kenya may have unknowingly helped train AI systems used by the U.S. military.An Australian tech company, Appen, reportedly recruited global gig workers to label data for AI systems connected to a secretive U.S. military unit called Big Safari — without disclosing the end use of their work.The story raises uncomfortable questions about AI supply chains, invisible labor, and the ethics behind the technologies we use every day.• How Appen’s global gig workforce may have unknowingly helped train U.S. military AI systems• Why AI data labeling has become the “sweatshop labor” of the digital economy• The ethical dilemma: workers building surveillance systems that could impact their own countries• Why AI development depends on millions of underpaid and invisible data workers• Whether transparency, consent, and disclosure should be mandatory in AI training pipelinesThe global AI boom is often framed as a race between tech giants and governments — but the reality is that millions of low-paid gig workers quietly power the entire system.As AI expands into military, surveillance, and intelligence applications, the question becomes harder to ignore:Should workers have the right to know what they are helping build?Because the future of AI might not just be shaped in Silicon Valley —it may be labeled, tagged, and trained by workers who never agreed to its purpose.What this episode covers is Why this matters🔗 Connect with Us📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

RT Updates Behind every powerful AI model is an invisible workforce — and the reality might be more controversial than you think.In this episode, we dive into the growing controversy around AI data labeling labor, after reports revealed that gig workers in countries like Kenya may have unknowingly helped train AI systems used by the U.S. military.An Australian tech company, Appen, reportedly recruited global gig workers to label data for AI systems connected to a secretive U.S. military unit called Big Safari — without disclosing the end use of their work.The story raises uncomfortable questions about AI supply chains, invisible labor, and the ethics behind the technologies we use every day.• How Appen’s global gig workforce may have unknowingly helped train U.S. military AI systems• Why AI data labeling has become the “sweatshop labor” of the digital economy• The ethical dilemma: workers building surveillance systems that could impact their own countries• Why AI development depends on millions of underpaid and invisible data workers• Whether transparency, consent, and disclosure should be mandatory in AI training pipelinesThe global AI boom is often framed as a race between tech giants and governments — but the reality is that millions of low-paid gig workers quietly power the entire system.As AI expands into military, surveillance, and intelligence applications, the question becomes harder to ignore:Should workers have the right to know what they are helping build?Because the future of AI might not just be shaped in Silicon Valley —it may be labeled, tagged, and trained by workers who never agreed to its purpose.What this episode covers is Why this matters🔗 Connect with Us📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

NOW PLAYING

The Hidden AI Sweatshops: How Kenyan Gig Workers Train Military AI Without Knowing

0:00 7:30

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Rethinking Tech?

This episode is 7 minutes long.

When was this Rethinking Tech episode published?

This episode was published on March 8, 2026.

What is this episode about?

RT Updates Behind every powerful AI model is an invisible workforce — and the reality might be more controversial than you think.In this episode, we dive into the growing controversy around AI data labeling labor, after reports revealed that gig...

Can I download this Rethinking Tech episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!