AI-generated content is becoming harder to distinguish from human-created work, increasing the need for reliable ways to verify where content comes from and whether AI was involved. Watermarking and provenance systems can provide useful evidence, but they are not foolproof, and relying too heavily on AI detectors can lead to false accusations, bias, and misplaced suspicion.
https://news.engineering.asu.edu/2026/09/the-rise-of-ai-suspicion/
https://news.engineering.asu.edu/2026/09/the-rise-of-ai-suspicion/
news.engineering.asu.edu
The rise of AI suspicion
As AI generated content spreads, Jaron Mink studies how people decide what is human and trustworthy.
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