Did AI write this? It’s getting harder to tell
False positives in AI detection are eroding trust in the written word — and nobody agrees on what 'AI-written' even means.
Why it matters
AI detection tools are becoming unreliable arbiters of authenticity, creating workplace and societal friction (false accusations, stigma, misidentification). This affects how organizations evaluate work, hiring, academic integrity, and credibility — a real friction point as AI writing becomes ubiquitous.
The key facts
9 to knowAI detection software produces high false-positive rates
Stigma of being accused of AI writing is damaging professional credibility
Societal mistrust in written word growing
No consensus on what constitutes 'AI-written' text
Detection tools used in hiring, academic, and professional contexts with uncertain accuracy
AI detection software producing false positives at scale
Stigma and reputational risk from being falsely accused of AI use
Growing institutional skepticism of written word authenticity
Detection reliability gap as AI writing improves
Go to the source
Financial Times Technologyft.com
Publisher excerpt: Detection software offers quick answers, but the risk of false positives and the stigma of being accused are leading to societal mistrust in the written word