Despite advancements in AI, new research reveals that large language models continue to perpetuate harmful racial biases, particularly against speakers of African American English.
While it may be obvious to you, most people don’t have the data literacy to understand this, let alone use this information to decide where it can/should be implemented and how to counteract the baked in bias. Unfortunately, as is mentioned in the article, people believe the problem is going away when it is not.
“Wow Johnson, no matter how much biased data we feed this thing it just keeps repeating biases from human society.”
Sample input from a systematically racist society (the entire world), get systematically racist output.
No shit. Fix society or “tune” your model, whatever that entails…
Obviously only one of these is feasible from a developer perspective.
While it may be obvious to you, most people don’t have the data literacy to understand this, let alone use this information to decide where it can/should be implemented and how to counteract the baked in bias. Unfortunately, as is mentioned in the article, people believe the problem is going away when it is not.
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