Independent resource on AI content authenticity — detection, standards & policy
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About

About This Resource

An independent editorial resource on AI content detection, authenticity standards, C2PA, and the evolving science of determining whether content was created by humans or machines.

What We Cover

aicontentauthenticity.com covers the technical standards, detection tools, and policy frameworks that define how AI-generated content is identified and labeled. Our focus is the intersection of machine learning, content verification, and the practical consequences for journalism, education, and online trust.

We publish a glossary of key terms, research summaries, tool comparisons, and standards documentation. We also run a community forum for practitioners working in AI content detection and content provenance.

Editorial Standards

We do not accept sponsored content, affiliate arrangements, or vendor-provided research. Tool mentions in our glossary and research pages reflect our independent assessment, not commercial relationships. Corrections are published promptly when factual errors are identified.

Contact

Research inquiries, corrections, and contributions: hello [at] aicontentauthenticity [dot] com