{"id":235132,"date":"2026-06-22T11:40:00","date_gmt":"2026-06-22T15:40:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/22\/ai-is-getting-women-wrong-the-cost-is-growing\/"},"modified":"2026-06-22T11:50:15","modified_gmt":"2026-06-22T15:50:15","slug":"ai-is-getting-women-wrong-the-cost-is-growing","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/22\/ai-is-getting-women-wrong-the-cost-is-growing\/","title":{"rendered":"AI is getting women wrong, the cost is growing"},"content":{"rendered":"<p><a href=\"https:\/\/news.un.org\/en\/story\/2026\/06\/1167776\">AI is getting women wrong, the cost is growing<\/a><\/p>\n<p><a href=\"https:\/\/news.un.org\/en\/story\/2026\/06\/1167776\">https:\/\/news.un.org\/en\/story\/2026\/06\/1167776<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-06-22 11:40:00<\/a><\/p>\n<p>Source Domain: <a href=\"news.un.org\">news.un.org<\/a><\/p>\n<ul>\n<li>\n<p><strong>Inequality Reinforcement<\/strong>: Generative AI is reinforcing inequalities through discriminatory algorithms, with 44% of studied AI systems displaying gender bias and over a quarter showing both gender and racial bias. These biases are rooted in historical underrepresentation of women and men in training data.<\/p>\n<\/li>\n<li>\n<p><strong>Gender Stereotypes in AI<\/strong>: Large language models disproportionately associate women with home and family while linking men to business and career. This perpetuates gender stereotypes and, in some cases, portrays women as sexual objects or subordinate to men.<\/p>\n<\/li>\n<li>\n<p><strong>Policy Gaps<\/strong>: Only 24 of 138 assessed countries refer to gender in their national AI strategies, and just 18 include substantive gender-responsive measures. This policy gap contributes to embedding biases in future AI technologies.<\/p>\n<\/li>\n<li>\n<p><strong>Online Harms<\/strong>: Women face higher levels of online abuse, and AI-generated content may exacerbate issues like harassment, manipulation, and image-based abuse, which are harder to detect and prevent.<\/p>\n<\/li>\n<li>\n<p><strong>Representation Issues<\/strong>: Women are underrepresented in the AI workforce, making up only 30% globally, which risks embedding existing biases in future technologies.<\/p>\n<\/li>\n<li>\n<p><strong>Economic Disparities<\/strong>: Women are more likely to hold jobs at high risk of automation and face greater economic disruptions from AI, often compounded by factors like race, disability, income, and geography.<\/p>\n<\/li>\n<li>\n<p><strong>Commercial and Ethical Imperatives<\/strong>: Addressing gender bias in AI is not only a matter of rights but also makes commercial sense, as inclusive advertising delivers stronger business results.<\/p>\n<\/li>\n<li>\n<p><strong>Need for Inclusive AI Development<\/strong>: For AI to benefit all, the voices and experiences of women and girls must be included at every stage of AI&#8217;s development and governance, to prevent the reinforcement of past inequalities.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI is getting women wrong, the cost is growing https:\/\/news.un.org\/en\/story\/2026\/06\/1167776 Publish Date: 2026-06-22 11:40:00 Source&#8230;<\/p>\n","protected":false},"author":1,"featured_media":235133,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/global.unitednations.entermediadb.net\/assets\/mediadb\/services\/module\/asset\/downloads\/preset\/Collections\/Embargoed\/08-07-2025-UN-Photo-AI-Good-Summit-01.jpg\/image770x420cropped.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[19],"class_list":["post-235132","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/235132"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=235132"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/235132\/revisions"}],"predecessor-version":[{"id":235134,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/235132\/revisions\/235134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/235133"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=235132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=235132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=235132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}