It’s not an article about LLMs not using dialects. In fact, they have learned said dialects and will use them if asked.
What they did was, ask the LLM to suggest adjectives associated with sentences - and it would associate more aggressive or negative adjectives with African dialect.
Seems like not a bias by AI models themselves, rather a reflection of the source material.
All (racial) bias in AI models is actually a reflection of the training data, not of the modelling.
I would assume the small amount of training data written that way doesn’t contain that many professional research papers, corporate emails or calm poetry, but would consist mostly of social media posts and comments which have a rather heavy bias towards aggressive and negative.
It’s not an article about LLMs not using dialects. In fact, they have learned said dialects and will use them if asked.
What they did was, ask the LLM to suggest adjectives associated with sentences - and it would associate more aggressive or negative adjectives with African dialect.
All (racial) bias in AI models is actually a reflection of the training data, not of the modelling.
I would assume the small amount of training data written that way doesn’t contain that many professional research papers, corporate emails or calm poetry, but would consist mostly of social media posts and comments which have a rather heavy bias towards aggressive and negative.