{"id":4978,"date":"2021-09-01T15:00:00","date_gmt":"2021-09-01T15:00:00","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2021\/09\/01\/this-googlers-team-is-making-shopping-more-inclusive\/"},"modified":"2021-09-01T15:00:00","modified_gmt":"2021-09-01T15:00:00","slug":"this-googlers-team-is-making-shopping-more-inclusive","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2021\/09\/01\/this-googlers-team-is-making-shopping-more-inclusive\/","title":{"rendered":"This Googler\u2019s team is making shopping more inclusive"},"content":{"rendered":"<p>Author: <\/p>\n<div>\n<div class=\"block-paragraph\">\n<div class=\"rich-text\">\n<p>There\u2019s a lot to love about online shopping: It\u2019s fast, it\u2019s easy and there are a ton of options to choose from. But there\u2019s one obvious challenge \u2014 you can\u2019t try anything on. This is something Google product manager Debbie Biswas noticed, as a tech industry veteran and startup founder herself. \u201cHistorically, the fashion industry only celebrates people of a certain size and skin color,\u201d she says. \u201cThis was something I wanted to change.\u201d<\/p>\n<p>Debbie grew up in India and moved to the U.S. after she graduated college. \u201cI started a company in the women&#8217;s apparel space, where I learned to solve user pain points around shopping for clothes, sizing and styling.\u201d While working on her startup, Debbie realized how hard shopping was for women, including herself \u2014 the models in the images didn\u2019t show her how something would look on her.\u00a0<\/p>\n<p>\u201cWhen I got an opportunity to work at Google Shopping, I realized I could solve so many of these problems at scale using the best AI\/ML tech in the industry,\u201d she says. \u201cAs a woman of color, and someone who doesn&#8217;t conform to the \u2018traditional beautiful size,\u2019 I feel very motivated to solve apparel shopping problems for people like me.\u201d<\/p>\n<\/p>\n<\/div>\n<\/div>\n<div class=\"block-paragraph_with_image\">\n<div class=\"article-module h-c-page\">\n<div class=\"h-c-grid uni-paragraph-wrap\">\n<div class=\"uni-paragraph h-c-grid__col h-c-grid__col--8 h-c-grid__col-m--6 h-c-grid__col-l--6 h-c-grid__col--offset-2 h-c-grid__col-m--offset-3 h-c-grid__col-l--offset-3\" data-component=\"uni-article-paragraph\">\n<div class=\" article-image--wrap-small \">\n<video alt=\"Style AI\" autoplay=\"\" class=\"article-image__media\" loop=\"\" muted=\"\" playsinline=\"\" src=\"https:\/\/storage.googleapis.com\/gweb-uniblog-publish-prod\/original_videos\/Screen_Recording_2021-08-25_at_12.52.32_PM.mp4\" tabindex=\"0\" title=\"This shows Style AI in action, a user may scroll to see blue button-down collared shirts on different people.\" type=\"video\/mp4\">Video format not supported<\/video><figcaption class=\"article-image__caption h-c-grid__col--8 h-c-grid__col--offset-2 h-c-grid__col-l--6 h-c-grid__col-l--offset-3 \">\n<div class=\"rich-text\">\n<p>A look at Style AI in action.<\/p>\n<\/div>\n<\/figcaption><\/div>\n<div class=\"rich-text\">\n<p>This was what Debbie and her team wanted to accomplish with Style AI. Style AI is a Shopping feature that helps people see how a product looks on various types of body styles and offers styling advice.\u00a0<a href=\"https:\/\/blog.google\/products\/google-lens\/get-outfit-inspiration-style-ideas-google-lens\/?_ga=2.136569716.53434800.1629991236-1315825603.1627401832\">Style AI works<\/a>\u00a0by using a machine learning algorithm to look at a specific product and visually understand it. \u201cSo if someone searches \u2018gingham long sleeve shirt,\u2019 Style AI will look at images of long-sleeved gingham shirts, apply our vision recognition technology and understand things like the pattern and the sleeve length and show users fashions that might interest them.\u201d In order to make sure Style AI was inclusive of all different types of shapes, sizes and skin tones Debbie consulted with Google\u2019s Product Fairness, or ProFair, team. ProFair helps teams at Google apply the\u00a0<a href=\"https:\/\/ai.google\/principles\/\">AI Principles<\/a>\u00a0by investigating fairness issues. Together, they find ways to build inclusive services, strengthen equity in data labels and promote fairness and combat bias in AI.\u00a0<\/p>\n<p>ProFair held sessions where everyone involved in the project could look for \u201cfairness issues,\u201d which helped Debbie\u2019s team adjust how they designed Style AI. And there was much to consider. \u201cFirst, we need to be careful of what data we train a model on. If you tell a machine that a certain size and skin color is what it needs to look for, it will,\u201d Debbie explains. \u201cSo as responsible product owners, we need to make sure we train it the right way. Even after this, a machine can make many mistakes unknowingly \u2014 for example, not realizing that a certain style can be very offensive in one culture and be totally cool in another.\u201d\u00a0<\/p>\n<p>For instance, before launching in countries like India and Brazil, ProFair held local focus groups in collaboration with\u00a0<a href=\"https:\/\/www.blog.google\/outreach-initiatives\/diversity\/products-work-you-no-matter-who-you-are\/\">Google\u2019s Product Inclusion team<\/a>. Debbie says this helped her team find diverse images and clothing for these specific demographics. Debbie\u2019s \u2014 and the entire team\u2019s \u2014 ultimate goal is that shoppers will feel like they\u2019re seeing themselves when they look for clothing. \u201cLooking at stock product images does not help you decide on your purchase,\u201d she says. \u201cWe just always think about what people told us while we were building Style AI: \u2018I want to see the product on someone like me!\u2019\u201d<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><a href=\"https:\/\/blog.google\/technology\/ai\/this-googlers-team-is-making-shopping-more-inclusive\/\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: There\u2019s a lot to love about online shopping: It\u2019s fast, it\u2019s easy and there are a ton of options to choose from. But there\u2019s [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2021\/09\/01\/this-googlers-team-is-making-shopping-more-inclusive\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":468,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/4978"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=4978"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/4978\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/465"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=4978"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=4978"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=4978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}