Bias in Image Generation AI: How Stereotypes and Discrimination Creep into Results

A recent study has exposed biases in the image generator Meta AI, which generates results that do not align with user specifications. These biases are discriminatory and based on race and age. For instance, when prompted to produce images of an “Asian man and a Caucasian friend,” the tool returned incorrect results, depicting both individuals with Asian features. To obtain more precise outcomes, users had to adjust search criteria by adding specific details such as “an Asian man and a Caucasian woman on their wedding day.”

Moreover, the tool displayed biases related to stereotypes, such as adding a bindi or sari to women when mentioning a particular location in Asia. Discrimination based on age was also evident, with women in heterosexual couples appearing younger than men. Despite its flaws, Meta AI provided more accurate results when asked for specific combinations like “an Asian woman with an African-American friend.”

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