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This article addresses a critical challenge at the intersection of generative AI capabilities and global regulatory frameworks, focusing on emerging standards from bodies like ISO and IEC designed to authenticate digital imagery against deepfakes. The discussion centers specifically on how these international protocols aim to mitigate financial fraud risks associated with synthetic media rather than general consumer electronics or unrelated tech topics.

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AI image fraud will cost $40 billion next year - can these international standards help?

ZDNetJuly 23, 20265 min read

Until now, efforts to identify and combat deepfakes and AI scams have been scattered. Which proposed standard will dominate?

Follow ZDNET: Add us as a preferred source on Google. 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. A credibility crisis has…

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