Theme

Hidden Human Costs

Behind every model are data labelers, moderators and communities who were left out. The people who pay are rarely the ones in the room.

Episodes on this theme

In their words

"AI never built itself." A former Facebook moderator on who really trained it.

The whole charade around AI, AI, we built AI, AI never built itself. So, and we are never acknowledged. If we keep quiet, it means AI really built itself, which is an absolute lie. People lost their life while building AI. We have colleagues that have committed suicide.
Kauna Malgwi
Kauna explains why she keeps speaking out despite the personal cost of advocacy.
Said on AI with Sach · Ep. 21 · Feb 2025 · at 29:49

Same job, same platform: under $2 an hour in Nairobi, over $20 in the US.

The pay is significantly nothing because we're paid less than $2 per hour. And the same kind of job our colleagues are doing in the US, Europe, and on the other side of the world are being paid over $20 per hour. So you can see the discrepancy of payment.
Kauna Malgwi
Kauna lists the biggest obstacles facing African content moderators.
Said on AI with Sach · Ep. 21 · Feb 2025 · at 18:38

If the job isn't harmful, why was therapy mandatory once a week?

So why are you providing counselors if you claim you are not aware that there's a mental health issues? If I should be in a supermarket selling groceries, would you provide a mental health counselor? Because you know it's not related.
Kauna Malgwi
Kauna argues that Sama and Meta knew about the psychological harm because counseling was mandatory for moderators.
Said on AI with Sach · Ep. 21 · Feb 2025 · at 13:11

50 seconds per video. Even for a beheading. That was the quota.

No, you were forced to submit it in 50 seconds. So what were you asked to do? We were asked to watch the first 15 seconds, skip to the middle, watch 15 seconds, go to the end of the video, watch 15 seconds, and check the thumbnail and submit. So you can imagine if it's a beheading from an ISIS video. What does that do to you as a human? Because we are not robots.
Kauna Malgwi
Kauna describes the productivity quotas Facebook moderators in Kenya worked under.
Said on AI with Sach · Ep. 21 · Feb 2025 · at 19:34

The people who label AI's data have been left out of the AI story for years.

I'm thinking about all the examples of the exploitation of data workers and the fact that that's sort of been swept under the rug for a really long time. But I really hope that people start to get more engaged in the field and the barriers to entry start lowering because it's going to continue to have such a dramatic effect on our world.
Allison Cohen
In her closing message, Allison points to data workers' exploitation as something the AI narrative has hidden.
Said on AI with Sach · Ep. 17 · Nov 2024 · at 27:27

Measure clicks and you will build clickbait. The metric is a design decision.

And how you measure success will end up, of course, having a big impact on how you build these tools. If you're measuring click rate, you may optimize for, um, you know, click bait titles or manipulative tactics. And we don't want to do that.
Allison Cohen
Allison explains why academic and Silicon Valley metrics like citations and click-through rates can distort how AI tools are designed.
Said on AI with Sach · Ep. 17 · Nov 2024 · at 10:20