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“It’s normally been difficult to evaluate discrimination,” he says, introducing, “AI-driven units are occasionally less difficult to watch and evaluate than humans, and one particular target of my get the job done is always to understand how we might leverage this enhanced visibility to think of new approaches to determine when techniques are behaving badly.”
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“The meta-Evaluation supported our theoretical framework,” Lu suggests. “Both dimensions are important: Persons Appraise click here if AI is much more capable than persons at a offered endeavor, and whether the process calls for personalization.
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