B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Dated
61.3%
61.3% -- ai detector false positive rate for GPT detectors (Liang et al., Patterns) (2023)
Human-written essays by non-native English writers were misclassified as AI-generated at an average false positive rate of 61.3% across seven widely used GPT detectors.
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
61.3%
Unit
Percentage
Data Vintage
2023
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
95
Source Trust
60
Citation Chain
20
Independence
30
Methodology
60
Freshness
95
Source
Patterns (Liang and colleagues)
Primary
Tier A
https://www.biogpt.io/ai-content-quality-control-what-to-check-before-you-publish/ ↗
Source Article
AI Content Quality Control: What to Check Before You Publish
Original Research
Patterns (Liang and colleagues)
· Original study ↗
Methodology
Peer-reviewed study in Patterns; essays by humans run through seven widely used GPT detectors
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
GPT detectors (Liang et al., Patterns): 61.3% ai detector false positive rate. Source: Patterns (Liang and colleagues) (2023). Via Lighthouse Intelligence -- https://lighthousedata.io/data/gpt-detector-false-positive-nonnative-2023
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<blockquote cite="https://lighthousedata.io/data/gpt-detector-false-positive-nonnative-2023" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>61.3%</strong> -- ai detector false positive rate for GPT detectors (Liang et al., Patterns)<br><small>Source: Patterns (Liang and colleagues) (2023) · <a href="https://lighthousedata.io/data/gpt-detector-false-positive-nonnative-2023" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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