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AI Detection: How Universities Detect AI-Written Papers

Universities are actively deploying AI detection tools to detect AI-written papers and essays submitted by students. Run an AI check on your own paper with PlagAware technology. Sentence-by-sentence scores · Results in 15 minutes · from $0.29/page.

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draft_analysis.pdf
Illustrative example
Sentence AI typicality
0 to 100 · 50 neutral · Not authorship proof

Higher AI typicality means the phrasing is more stereotypical of AI output. Human writing can also score high.

Example sentence score72 / 100
Neutral value50 / 100

Illustrative example, not an actual report. A score measures phrasing, not the probability of AI authorship.

University AI Detection

How Universities Detect AI-Generated Essays

Understanding the methods universities use helps you see why proactive self-checking is valuable.

Statistical Text Analysis

Detection software examines statistical language patterns. PlagAware evaluates stereotypical AI expressions, but these can also occur in human writing.

Style Consistency Checks

Instructors also look for stylistic inconsistencies: a paper where some sections are noticeably more fluent or formal than others, or where the writing style clearly shifts between chapters.

Dedicated AI Detection Platforms

Institutions subscribe to commercial AI detection platforms, the same category as our PlagAware-powered tool. These run automated checks on all submitted work or selected high-risk assignments.

The Process

How the AI Detection Check Works

1

Submit Your Document

Upload PDF, DOCX, DOC, or TXT, up to 50 MB. No registration. Your document is not added to a plagiarism pool.

2

Statistical Analysis

PlagAware evaluates the frequency and relevance of stereotypical AI expressions in each sentence. The result measures AI-typical phrasing, not who wrote the text.

3

Scored Report by Email

Receive your results in about 15 minutes. The report shows sentence-level AI typicality from 0 to 100, with 50 neutral. Review the highlighted phrasing in context.

What Gets Detected

AI Models and Detection Limits

Students may use different AI writing tools. A detector can assess AI-typical phrasing without identifying the model, but detection is not guaranteed.

PCO has no model-specific validation for particular AI model versions.

  • ChatGPT & GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Llama (Meta) and Mistral
  • Other LLMs: see LLM detector
Illustrative AI typicality summary
Example sentence distribution
91%Sentences below-neutral typicality
9%Sentences above-neutral typicality
38Pages checked

Illustrative scores, not a real scan: higher AI typicality warrants contextual review, not an authorship verdict.

Score Scale

The Detection Score: How It Works

PlagAware measures AI typicality from 0 to 100 for each sentence, with 50 neutral. Lower values indicate less AI-typical phrasing; higher values indicate more AI-typical phrasing. The score is not an authorship probability or proof of AI use.

Below 50: Less AI-typical

Lower AI typicality means the phrasing is less stereotypical of AI output. It does not establish human authorship.

50: Neutral

50 is the neutral value: the phrasing occurs equally in natural and AI-generated text. It does not quantify AI involvement.

Above 50: More AI-typical

Higher AI typicality means the phrasing is more stereotypical of AI output. Human writing can also score high.

Pricing

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A pay-per-scan pre-check for your own paper. No subscription. Minimum $0.90.

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AI detection only

$0.29 / page
  • Score 0 to 100 per sentence
  • AI-typical phrasing analysis
  • Results in 15 minutes
  • Email delivery
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FAQ

AI Detection: Frequently Asked Questions

Institutional practices vary. PlagAware offers licenses for universities and schools and assesses AI-typical phrasing. We offer a pay-per-scan pre-check for individual students, not a reproduction of your university's result.

Plagiarism detection compares text against sources. AI detection assesses language patterns without a source match. A 0% similarity score does not establish originality or rule out AI use.

Adoption varies significantly. Some universities apply AI detection routinely to all submitted work. Others use it selectively or only on flagged submissions. Many are still developing their policies. Regardless of your institution's current practice, a self-check is only a pre-check and does not predict your institution's decision.

AI detection can flag human-written text and miss AI-generated text. Formal or subject-specific language can affect the result. Sentence-level scores locate language patterns, but do not guarantee greater accuracy.

Review flagged passages in context. Keep drafts and sources that document your writing process, disclose any AI use as required, and follow your institution's policy. Do not rewrite original work merely to lower a detector score.

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