Databases used for training AI are often not very diverse fizkes/Shutterstock
A diversity score for artificial intelligence inspired by how ecologists measure biodiversity could help identify bias in data sets and AI systems.
AIs can learn and mimic certain biases if their training data sets are not diverse enough. This has already been seen in AI systems perpetuating racist and sexist prejudice and in governments using racially biased AI for checking passport photos. Such AI-powered bias has also shown up in law enforcement efforts to predict crime.
and Dan Friedman at Princeton University developed their Vendi…
