About ai generating biased or harmful results

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Reference no: EM133836040

Question

A client has heard stories in the news about AI generating biased or harmful results, how does IBM reduce bias and harmfulness of the Granite models? Models are very sensitive to the quality of training data, and poor data results in bad models, IBM's rigorous data management stage removes biased, and harmful material before training There is no way to stop biased results, because there is no way to remove bias from training data IBM's Granite models rely solely on user feedback to identify and correct bias after deployment. There are no preventive measures during training IBM does NOT specifically address bias or harmfulness in Granite models; it assumes that AI models are inherently unbiased and harmless.

Reference no: EM133836040

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