People prefer AI writing in blind tests—until they're told it's AI
ipeirotis · x · 2026-09-10
Summarizing recent literature on AI writing, Panos Ipeirotis notes that under blind conditions people cannot reliably distinguish AI text from human writing, and often actually prefer the AI version. But once told a text was AI-generated, their preference flips to the "human" version—suggesting aversion to AI writing is driven by labeling bias rather than actual quality differences.
Related event: Blind Tests Show People Can't Distinguish AI Writing—Until Labels Bias Them(2 posts)→
More from Research
- Columbia DAP Lab's VLDB 2026 keynote: agentic data environments as the next research frontier — adityagp · 2026-09-10
- Nupur Kumari, author of first thesis on customizing generative image models, joins OpenAI — junyanz89 · 2026-09-10
- Frank Nielsen's info geometry textbook offers a foundational ML entry, now on ChapterPal — burkov · 2026-09-10
- Train on Frontier Papers or Build RL Envs? An Insider Debate on Math Model Training — ctjlewis · 2026-09-10
- GPN-Star precomputed variant-effect scores for human genome and 5 model organisms land on Hugging Face — anshulkundaje · 2026-09-10
- MSK lab uses generative AI to design cancer binders that beat FDA-approved CAR T proteins in mice — anshulkundaje · 2026-09-10