{"id":165181,"date":"2023-06-05T14:22:54","date_gmt":"2023-06-05T19:22:54","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/06\/what-will-stop-ai-from-flooding-the-internet-with-fake-images"},"modified":"2023-06-05T14:22:54","modified_gmt":"2023-06-05T19:22:54","slug":"what-will-stop-ai-from-flooding-the-internet-with-fake-images","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/06\/what-will-stop-ai-from-flooding-the-internet-with-fake-images","title":{"rendered":"What will stop AI from flooding the internet with fake images?"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/what-will-stop-ai-from-flooding-the-internet-with-fake-images2.jpg\"><\/a><\/p>\n<p>One novel approach \u2014 that some experts say could actually work \u2014 is to use metadata, watermarks, and other technical systems to distinguish fake from real. Companies like Google, Adobe, and Microsoft are all supporting some form of labeling of AI in their products. Google, for example, <a href=\"https:\/\/blog.google\/products\/search\/about-this-image-google-search\/\">said at its recent I\/O conference that<\/a>, in the coming months, it will attach a written disclosure, similar to a copyright notice, underneath AI-generated results on Google Images. OpenAI\u2019s popular image generation technology DALL-E already adds a colorful stripe watermark to the bottom of all images it creates.<\/p>\n<p>\u201cWe all have a fundamental right to establish a common objective reality,\u201d said Andy Parsons, senior director of Adobe\u2019s content authenticity initiative group. \u201cAnd that starts with knowing what something is and, in cases where it makes sense, who made it or where it came from.\u201d<\/p>\n<p>In order to reduce confusion between fake and real images, the content authenticity initiative group developed a tool Adobe is now using called content credentials that tracks when images are edited by AI. The company describes it as a nutrition label: information for digital content that stays with the file wherever it\u2019s published or stored. For example, Photoshop\u2019s latest feature, Generative Fill, uses AI to quickly create new content in an existing image, and content credentials can keep track of those changes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>One novel approach \u2014 that some experts say could actually work \u2014 is to use metadata, watermarks, and other technical systems to distinguish fake from real. Companies like Google, Adobe, and Microsoft are all supporting some form of labeling of AI in their products. Google, for example, said at its recent I\/O conference that, in [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[418,6],"tags":[],"class_list":["post-165181","post","type-post","status-publish","format-standard","hentry","category-internet","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/165181","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=165181"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/165181\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=165181"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=165181"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=165181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}