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First, no matter how far we get in improving AI’s performance, AI’s adopters — users at home and in businesses, decision-makers in organizations, policymakers — must traverse a persistent trust gap. Second, companies need to invest in understanding the risks most responsible for the trust gap affecting their applications’ adoption and work to mitigate those risks. And third, pairing humans with AI will be the most essential risk-management tool, which means we shall always have a need for humans to steer us through the gap — and the humans need to be trained appropriately.
From: AI’s Trust Problem.
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