AI’s anti-Muslim bias problem
Recode Daily
Recode
4.6 • 1.3K Ratings
🗓️ 4 October 2021
⏱️ 17 minutes
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| 0:30.5 | the label. Artificial intelligence has transformed our relationship with |
| 0:41.4 | technology. It can find the fastest route on a road trip, or spotter friends' faces and |
| 0:46.4 | photos. It can also help employers sift through thousands of resumes or retailers identify |
| 0:51.4 | shoplifters. But even with these upsides, there's a big problem with AI. The technology |
| 0:57.6 | relies on humans to learn what to do, and humans, as we know, can be pretty racist. So time |
| 1:03.9 | and time again, we see human biases and discrimination show up in the artificially |
| 1:08.2 | intelligent software we design. For example, GPT-3. This is a revolutionary AI language model |
| 1:16.0 | that can generate text. But as researchers have learned, GPT-3 also has a big Islamophobia |
| 1:22.2 | problem. Vox's Segal Samuel has been talking with the researchers that spotted the issue, |
| 1:31.5 | and she's here to tell us more. Hi Segal. Hey, nice to be here with you. |
| 1:36.3 | So tell us about GPT-3. What is it used for? So GPT-3 is an AI language model that is |
| 1:44.0 | meant to generate text. So basically, you can type in a prompt, like a few words or a sentence, |
| 1:50.6 | and then it'll auto-complete for you. It'll start writing the next sentence or two or three |
| 1:57.2 | based on what it plausibly thinks a human would respond. And that can be used for creative |
| 2:03.8 | writing. It can be used for writing, marketing copy, a whole bunch of things. |
| 2:08.9 | And how exactly does GPT-3 do that? So GPT-3 is trained on a ton of data, basically researchers |
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