ANA Launches Ethics Course: Focuses On AI, Claims, Privacy, Inclusivity
“The outputs of automated systems may become biased if they arise from biased data input or are trained on biased data, or bias may arise due to a biased originating source with no human corrective action taken,” the ANA’s guidelines state. “Having a diverse development team can help protect against this potential bias.”
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