GoKawiilThe Washington Post via Getty Images
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ZDNET's key takeaways
AI or real? Images now have a credibility problem.
Standards to help identify AI images proposed by EIC and ISO.
JPEG Trust represents the first steps toward image authentication.
International standards bodies are stepping up efforts to help provide the tools that end users and companies need to distinguish real images, videos, and other content from deepfakes and AI-generated slop. New standards were recently announced at the AI for Good conference hosted in Geneva under the auspices of the UN.
Also: Google Search will let you instantly generate AI images for free - here's how
A credibility crisis has arisen, and it's only getting worse when it comes to imagery, reaching the point where one can no longer distinguish between actual photos and AI-generated fakes. This has implications across society and businesses, raising doubts about the authenticity of images used in news reports, social media postings, and even photographic evidence in crime scenes. There's a huge financial cost as well: Generative AI could enable fraud losses to reach $40 billion in the US by 2027, up from $12.3 billion in 2023, according to estimates from Deloitte's Center for Financial Services.
What new standards can and can't do
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