The author also observed that the AI system predominantly represented "Asian women" as East Asian with light complexions, despite Asia's diverse population. The AI also tended to generate images of older Asian men and younger Asian women. The author suggests that these biases reflect those of the AI's creators, trainers, and the data set they use, and criticizes the system for perpetuating harmful stereotypes and erasing diversity.
Key takeaways:
- Meta's AI-powered image generator struggles to accurately depict mixed-race couples or friendships, often defaulting to two Asian individuals when prompted with combinations involving an Asian and a Caucasian person.
- The image generator also leans heavily into stereotypes, adding culturally specific attire to the generated images without being prompted to do so.
- The AI tool consistently represents 'Asian women' as East Asian-looking with light complexions, despite the diversity within the Asian population.
- These issues highlight the biases inherent in AI systems, reflecting the biases of their creators, trainers, and the data set they use, and underlining the need for more diverse and inclusive AI training.