{"id":5454,"date":"2025-09-09T10:03:11","date_gmt":"2025-09-09T10:03:11","guid":{"rendered":"https:\/\/automationnation.us\/en\/google-gemini-dubbed-high-risk-for-kids-and-teens-in-new-safety-assessment-4\/"},"modified":"2025-09-09T10:03:11","modified_gmt":"2025-09-09T10:03:11","slug":"google-gemini-dubbed-high-risk-for-kids-and-teens-in-new-safety-assessment-4","status":"publish","type":"post","link":"https:\/\/automationnation.us\/en\/google-gemini-dubbed-high-risk-for-kids-and-teens-in-new-safety-assessment-4\/","title":{"rendered":"Google Gemini dubbed \u2018high risk\u2019 for kids and teens in new safety assessment"},"content":{"rendered":"<p>**Gemini Flagged &#8216;High Risk&#8217; for Young Users in New Safety Assessment**<\/p>\n<p>Google&#8217;s AI model, Gemini, has been categorized as &#8220;high risk&#8221; for children and teenagers in a recent safety assessment. The evaluation highlights significant concerns regarding the potential for misinformation, privacy breaches, and exposure to inappropriate content.<\/p>\n<p>Experts warn that Gemini, like many evolving AI tools, could generate inaccurate or harmful responses, making it unsuitable for unsupervised use by minors. Additionally, data privacy remains a critical issue, with questions raised about how user interactions are processed and stored. The assessment urges parents and educators to exercise extreme caution, advocating for close supervision and a clear understanding of the technology&#8217;s limitations before allowing young people to engage with the AI platform.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>**Gemini Flagged &#8216;High Risk&#8217; for Young Users in New Safety Assessment** Google&#8217;s AI model, Gemini, has been categorized as &#8220;high risk&#8221; for children and teenagers in a recent safety assessment. The evaluation highlights significant concerns regarding the potential for misinformation, privacy breaches, and exposure to inappropriate content. Experts warn that Gemini, like many evolving AI [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5454","post","type-post","status-publish","format-standard","hentry","category-blog"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false,"woocommerce_thumbnail":false,"woocommerce_single":false,"woocommerce_gallery_thumbnail":false},"uagb_author_info":{"display_name":"Automation Nation","author_link":"https:\/\/automationnation.us\/en\/author\/automationnationai\/"},"uagb_comment_info":0,"uagb_excerpt":"**Gemini Flagged &#8216;High Risk&#8217; for Young Users in New Safety Assessment** Google&#8217;s AI model, Gemini, has been categorized as &#8220;high risk&#8221; for children and teenagers in a recent safety assessment. The evaluation highlights significant concerns regarding the potential for misinformation, privacy breaches, and exposure to inappropriate content. Experts warn that Gemini, like many evolving AI&hellip;","_links":{"self":[{"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/posts\/5454","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/comments?post=5454"}],"version-history":[{"count":0,"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/posts\/5454\/revisions"}],"wp:attachment":[{"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/media?parent=5454"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/categories?post=5454"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/automationnation.us\/en\/wp-json\/wp\/v2\/tags?post=5454"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}