AI Content Authenticity Clarifies Verification Standards and Practices

DodBuzz on Feb. 6, 2026 explains AI content authenticity, defining it as verifying whether text, images, audio, or video originate from humans, machines, or hybrid workflows. The article outlines technical approaches—watermarking, statistical detection, metadata provenance—and editorial practices like disclosure and oversight, and it warns detection tools are probabilistic. It recommends provenance, human review, and transparency to preserve trust and meet emerging regulations.