{"id":11718,"date":"2025-01-21T06:41:07","date_gmt":"2025-01-21T14:41:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=example&p=11718"},"modified":"2025-02-03T09:37:43","modified_gmt":"2025-02-03T17:37:43","slug":"ai-framed-questioning-g2-make-clear-how-well-the-system-can-do-what-it-can-do","status":"publish","type":"example","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/ai-framed-questioning-g2-make-clear-how-well-the-system-can-do-what-it-can-do\/","title":{"rendered":"AI-framed questioning | G2: Make clear how well the system can do what it can do"},"content":{"rendered":"\n\n\n
\"blue<\/figure>\n\n\n\n

Questions posed alongside GenAI outputs make clear how well the system can do what it can do (Guideline 2<\/a>) by promoting critical thinking (Sarkar et al., 2024<\/a>) and helping users correctly spot logical fallacies (Danry et al., 2023<\/a>).<\/p>\n\n\n\n

The techniques used in this example have the potential to foster appropriate reliance on AI, by reducing overreliance. Keep in mind that overreliance mitigations can backfire. Be sure to test such mitigations in context, with your AI system\u2019s actual users. Learn more about\u00a0overreliance on AI<\/a> and\u00a0appropriate reliance on generative AI<\/a>.<\/p>\n\n\n\n

\"The
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