Did this study on AI biases (Claude, GPT, Grok) catch your attention ? It compares the "value" assigned to lives based on gender and skin color.

Hi everyone,

I'm not sure if you've come across this recent study (late 2025) from the AI Safety Center. They re-ran tests on the biases of major models (Claude, GPT, Grok) by asking them a rather harsh question: how they evaluate the "value" of human lives based on race and gender.

https://m.cnmo.com/news/798592.html

https://g.pconline.com.cn/x/2033/20339252.html

Some striking results:

· Claude Sonnet 4.5: values 1 white life as 1/8 of a Black life and 1/18 of a South Asian life. · Claude Haiku 4.5: 100 white lives = 8 Black lives = ~6 South Asian lives. On gender, it values a man at 2/3 of a woman. · GPT-5 Nano: on gender, the ratio reportedly goes as high as 12 women to 1 man (needs verification, it's huge). · Grok 4 Fast: the only model rated as "relatively equal" on both criteria.

Researchers ranked models into 4 categories based on bias severity. Claude stands alone in the worst (category 1), Grok in the best (category 4).

What strikes me as crazy:

1. These biases are mathematically embedded in the responses. It's no longer interpretation; it's in the code.
2. The gap is massive between models.
3. Hardly anyone is talking about it, even though it touches on how these tools see our lives.

I'm curious to know:

· Had you heard about these results before? · is it a serious study?

I am a little lost, and I don't know what to think about it?

Feel free to share if you have other sources or thoughts.