{"id":11610,"date":"2025-01-17T15:25:37","date_gmt":"2025-01-17T23:25:37","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=example&p=11610"},"modified":"2025-02-03T09:53:53","modified_gmt":"2025-02-03T17:53:53","slug":"ai-critiques-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-critiques-g2-make-clear-how-well-the-system-can-do-what-it-can-do\/","title":{"rendered":"AI Critiques | G2: Make clear how well the system can do what it can do"},"content":{"rendered":"\n
\"blue<\/figure>\n\n\n\n\n\n

AI critiques (Saunders et al., 2022<\/a>) make clear how well the system can do what it can do (Guideline 2<\/a>) by presenting evidence, descriptions, or solutions for specific flaws in the generated AI output.<\/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

\"Alphabetize
Image captured February 2024.<\/em><\/figcaption><\/figure>\n","protected":false},"featured_media":11679,"menu_order":0,"template":"","meta":{"toolkit_pattern_number":"","ep_exclude_from_search":false,"footnotes":""},"application-type":[96,99,56,59],"goal":[114,123],"guideline-term":[4],"product-category":[70,64,28,65,63],"class_list":["post-11610","example","type-example","status-publish","has-post-thumbnail","hentry","application-type-gen-ai","application-type-llm","application-type-natural-language-processing-text","application-type-text-generation","goal-appropriate-reliance","goal-transparency","guideline-term-make-clear-how-well-the-system-can-do-what-it-can-do","product-category-chatbot","product-category-email","product-category-productivity","product-category-search-engine","product-category-writing-and-editing"],"yoast_head":"\nAI Critiques | G2: Make clear how well the system can do what it can do - Microsoft HAX Toolkit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/ai-critiques-g2-make-clear-how-well-the-system-can-do-what-it-can-do\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Critiques | G2: Make clear how well the system can do what it can do - Microsoft HAX Toolkit\" \/>\n<meta property=\"og:description\" content=\"AI critiques (Saunders et al., 2022) make clear how well the system can do what it can do (Guideline 2) by presenting evidence, descriptions, or solutions for specific flaws in the generated AI output. The techniques used in this example have the potential to foster appropriate reliance on AI, by reducing overreliance. 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