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In this episode, we examine the evolving nature of trust in artificial intelligence (AI) and its implications for human decision-making. They introduce the idea of “distrust and verify” as a more appropriate stance toward AI systems, contrasting it with the traditional “trust but verify” approach often applied to human relationships. The discussion highlights the risks of automation bias, our tendency to over-reliance on AI outputs, which can erode critical thinking and independent judgment. The speakers also reflect on how trust is being reshaped in the digital age, particularly for younger generations who are coming of age with AI and algorithmic systems as primary sources of information.
By Kendra Oliver & Leah FlahertyIn this episode, we examine the evolving nature of trust in artificial intelligence (AI) and its implications for human decision-making. They introduce the idea of “distrust and verify” as a more appropriate stance toward AI systems, contrasting it with the traditional “trust but verify” approach often applied to human relationships. The discussion highlights the risks of automation bias, our tendency to over-reliance on AI outputs, which can erode critical thinking and independent judgment. The speakers also reflect on how trust is being reshaped in the digital age, particularly for younger generations who are coming of age with AI and algorithmic systems as primary sources of information.