{"id":11385,"date":"2024-05-06T07:36:30","date_gmt":"2024-05-06T14:36:30","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=example&p=11385"},"modified":"2025-02-03T14:38:09","modified_gmt":"2025-02-03T22:38:09","slug":"hugging-chat-g2-make-clear-how-well-a-system-can-do-what-it-can-do","status":"publish","type":"example","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/hugging-chat-g2-make-clear-how-well-a-system-can-do-what-it-can-do\/","title":{"rendered":"Hugging Chat | G2: Make clear how well a system can do what it can do"},"content":{"rendered":"
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Hugging Chat | G2: Make clear how well a system can do what it can do<\/h2>\n\n\n\n
\"blue<\/figure>\n\n<\/div>\n\n\n\n\n\n

Hugging Chat makes clear how well the system can do what it can do (Guideline 2<\/a>) acknowledging problems with AI such as biased generation and misinformation in a\u00a0disclaimer\u00a0on its landing page.<\/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\u00a0<\/a>and\u00a0appropriate reliance on generative AI<\/a>.<\/p>\n\n\n\n

\"Hugging\u00a0Chat\u00a0disclaimer\u00a0at
Image captured February 2024<\/em><\/figcaption><\/figure>\n","protected":false},"featured_media":11394,"menu_order":0,"template":"","meta":{"toolkit_pattern_number":"","ep_exclude_from_search":false,"footnotes":""},"application-type":[96,99,102,56,59],"goal":[114,126,123],"guideline-term":[4],"product-category":[70,28,63],"class_list":["post-11385","example","type-example","status-publish","has-post-thumbnail","hentry","application-type-gen-ai","application-type-llm","application-type-mml","application-type-natural-language-processing-text","application-type-text-generation","goal-appropriate-reliance","goal-reliability","goal-transparency","guideline-term-make-clear-how-well-the-system-can-do-what-it-can-do","product-category-chatbot","product-category-productivity","product-category-writing-and-editing"],"yoast_head":"\nHugging Chat | G2: Make clear how well a 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\/hugging-chat-g2-make-clear-how-well-a-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=\"Hugging Chat | G2: Make clear how well a system can do what it can do - Microsoft HAX Toolkit\" \/>\n<meta property=\"og:description\" content=\"Hugging Chat makes clear how well the system can do what it can do (Guideline 2) acknowledging problems with AI such as biased generation and misinformation in a\u00a0disclaimer\u00a0on its landing page. 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