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Research shows AI datasets have human values blind spots

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. To ensure AI systems do not use harmful content when responding to users, researchers introduced a method called reinforcement learning from human…This story continues at The Next Web