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The Conversation
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Ike Obi, Ph.D. student in Computer and Information Technology, Purdue University

AI datasets have human values blind spots − new research

Not all human values come through equally in training AIs. RerF/iStock via Getty Images

My colleagues and I at Purdue University have uncovered a significant imbalance in the human values embedded in AI systems. The systems were predominantly oriented toward information and utility values and less toward prosocial, well-being and civic values.

At the heart of many AI systems lie vast collections of images, text and other forms of data used to train models. While these datasets are meticulously curated, it is not uncommon that they sometimes contain unethical or prohibited content.

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