{"id":31388,"date":"2025-11-06T19:16:05","date_gmt":"2025-11-06T19:16:05","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=31388"},"modified":"2025-11-06T19:37:04","modified_gmt":"2025-11-06T19:37:04","slug":"ai-breakthrough-can-you-trust-the-photos-you-see","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/ai-breakthrough-can-you-trust-the-photos-you-see\/","title":{"rendered":"AI Breakthrough: Can You Trust the Photos You See?"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Researchers have found that AI can now generate images of real people that are nearly indistinguishable from actual photos, posing serious implications for trust in visual media and the urgent need for reliable detection tools.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>Artificial intelligence has reached a new milestone, and its implications are both fascinating and troubling. A study recently p<a href=\"https:\/\/cognitiveresearchjournal.springeropen.com\/articles\/10.1186\/s41235-025-00683-w\" target=\"_blank\" rel=\"noopener\" title=\"\">ublished<\/a> in the journal Cognitive Research: Principles and Implications has shown that AI can now generate images of real people that are virtually impossible to differentiate from genuine photographs. This breakthrough heralds a new level of &#8220;deepfake realism&#8221; and ignites urgent concerns about misinformation and trust in visual media.<\/p>\n\n\n\n<p>Researchers from Swansea University, the University of Lincoln and Ariel University collaborated to create hyper-realistic images using advanced AI models, including ChatGPT and DALL\u00b7E. These AI models generated images of both fictional and well-known faces, such as celebrities, and found that even familiar faces were indistinguishable from real photos.<\/p>\n\n\n\n<p>\u201cStudies have shown that face images of fictional people generated using AI are indistinguishable from real photographs. But for this research we went further by generating synthetic images of real people,&#8221; Jeremy Tree, a professor in the School of Psychology at Swansea University, said in a news release.<\/p>\n\n\n\n<p>Across four separate experiments, the researchers found that the use of comparison photos and participant&#8217;s prior familiarity with some faces were of limited help.<\/p>\n\n\n\n<p>In one experiment, participants from various countries, including the United States, Canada, the UK, Australia and New Zealand, were shown a mix of real and AI-generated faces. The researchers found that participants struggled to identify which images were real, highlighting just how convincing AI-generated photos can be.<\/p>\n\n\n\n<p>In another experiment, participants were shown images of Hollywood stars like Paul Rudd and Olivia Wilde and asked to distinguish genuine photos from AI-generated ones. The participants&#8217; frequent misidentification underscored the sophistication of these synthetic images.<\/p>\n\n\n\n<p><span style=\"font-size: revert;\">\u201cThe fact that everyday AI tools can do this not only raises urgent concerns about misinformation and trust in visual media but also the need for reliable detection methods as a matter of urgency,\u201d Tree added.<\/span><\/p>\n\n\n\n<p>The implications of this technological advancement are profound. AI-generated images could be misused in various ways, such as creating deceptive endorsements from celebrities or political figures. This could significantly influence public opinion and erode trust in visual content.<\/p>\n\n\n\n<p>\u201cThis study shows that AI can create synthetic images of both new and known faces that most people can\u2019t tell apart from real photos. Familiarity with a face or having reference images didn\u2019t help much in spotting the fakes, that is why we urgently need to find new ways to detect them,&#8221; added Tree. \u201cWhile automated systems may eventually outperform humans at this task, for now, it\u2019s up to viewers to judge what\u2019s real.\u201d<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/www.swansea.ac.uk\/press-office\/news-events\/news\/2025\/11\/fake-or-the-real-thing-how-ai-can-make-it-harder-to-trust-the-pictures-we-see.php\" target=\"_blank\" rel=\"noopener\" title=\"\">Swansea University<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence has reached a new milestone, and its implications are both fascinating and troubling. A study recently published in the journal Cognitive Research: Principles and Implications has shown that AI can now generate images of real people that are virtually impossible to differentiate from genuine photographs. This breakthrough heralds a new level of &#8220;deepfake [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[496,497],"class_list":["post-31388","post","type-post","status-publish","format-standard","hentry","category-ai","tag-swansea-university","tag-university-of-lincoln"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"Artificial intelligence has reached a new milestone, and its implications are both fascinating and troubling. A study recently published in the journal Cognitive Research: Principles and Implications has shown that AI can now generate images of real people that are virtually impossible to differentiate from genuine photographs. This breakthrough heralds a new level of &#8220;deepfake&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31388","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=31388"}],"version-history":[{"count":3,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31388\/revisions"}],"predecessor-version":[{"id":31392,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31388\/revisions\/31392"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=31388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=31388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=31388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}