{"id":1542,"date":"2021-05-27T09:44:53","date_gmt":"2021-05-27T16:44:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=example&p=1542"},"modified":"2023-05-26T05:07:19","modified_gmt":"2023-05-26T12:07:19","slug":"neural-net-g11-f-example-based-explanations","status":"publish","type":"example","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/","title":{"rendered":"Image recognition | 11F: Example-based explanations"},"content":{"rendered":"
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Image recognition | 11F: Example-based explanations<\/h2>\n\n\n\n
\"\"<\/figure>\n\n<\/div>\n\n\n\n\n\n
\"How
To make clear why the AI system behaved as it did (Guideline 11<\/a>), an example-based explanation (Pattern 11F<\/a>) was used to demonstrate how a neural net system recognizes an avocado from a drawing (Cai et al., 2019<\/a>). In this case, the explanation shows examples of drawings that taught the system what an avocado looks like. Image captured July 2020.<\/sub><\/sup><\/em><\/figcaption><\/figure>\n","protected":false},"featured_media":1359,"menu_order":0,"template":"","meta":{"toolkit_pattern_number":"11F","ep_exclude_from_search":false,"footnotes":""},"application-type":[60],"goal":[114,126,123],"guideline-term":[13],"product-category":[28],"class_list":["post-1542","example","type-example","status-publish","has-post-thumbnail","hentry","application-type-image-recognition","goal-appropriate-reliance","goal-reliability","goal-transparency","guideline-term-make-clear-why-the-system-did-what-it-did","product-category-productivity"],"yoast_head":"\nImage recognition | 11F: Example-based explanations - 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\/neural-net-g11-f-example-based-explanations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Image recognition | 11F: Example-based explanations - Microsoft HAX Toolkit\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft HAX Toolkit\" \/>\n<meta property=\"article:modified_time\" content=\"2023-05-26T12:07:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/G11-F_Example-Based-Explanations_Google-Draw-annotated.png\" \/>\n\t<meta property=\"og:image:width\" content=\"768\" \/>\n\t<meta property=\"og:image:height\" content=\"954\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"Shipi Dhanorkar\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/\",\"url\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/\",\"name\":\"Image recognition | 11F: Example-based explanations - Microsoft HAX Toolkit\",\"isPartOf\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2021\/05\/G11-F_Example-Based-Explanations_Google-Draw-annotated.png\",\"datePublished\":\"2021-05-27T16:44:53+00:00\",\"dateModified\":\"2023-05-26T12:07:19+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/neural-net-g11-f-example-based-explanations\/#primaryimage\",\"url\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2021\/05\/G11-F_Example-Based-Explanations_Google-Draw-annotated.png\",\"contentUrl\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/2021\/05\/G11-F_Example-Based-Explanations_Google-Draw-annotated.png\",\"width\":768,\"height\":954,\"caption\":\"Example-based explanations were used to explain how a neural net system recognizes an avocado from a drawing (Cai et al., 2019). 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