Table 2 Most common highly racialized names by Race and Gender, Domain and Power Condition
From: Intersectional biases in narratives produced by open-ended prompting of generative language models
| Â | Learning | Labor | Love | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Base. | Dom. | Sub. | Base. | Dom. | Sub. | Base. | Dom. | Sub. | |||
Asian | Fem. | Priya | 0 | 52 | 21 | 0 | 0 | 490 | 1 | 0 | 10 |
Masc. | Hiroshi | 0 | 0 | 36 | 0 | 0 | 5 | 0 | 1 | 46 | |
Black | Fem. | Amari | 176 | 1251 | 2 | 0 | 0 | 1 | 0 | 0 | 0 |
Masc. | Jamal | 9 | 40 | 211 | 1 | 1 | 154 | 3 | 10 | 36 | |
Latine | Fem. | Maria | 550 | 364 | 13,580 | 696 | 333 | 4087 | 329 | 1561 | 2439 |
Masc. | Juan | 8 | 12 | 2,213 | 4 | 0 | 186 | 4 | 115 | 965 | |
MENA | Fem. | Amira | 1 | 2 | 3 | 0 | 0 | 5 | 0 | 1 | 5 |
Masc. | Ahmed | 0 | 0 | 134 | 0 | 0 | 46 | 0 | 0 | 36 | |
White | Fem. | Sarah | 11,699 | 10,925 | 5939 | 8731 | 6822 | 5193 | 13,513 | 12,072 | 7563 |
Masc. | John | 5915 | 5239 | 3005 | 11,307 | 9659 | 2872 | 15,889 | 17,565 | 4013 | |
