Analyzes submitted text and calculates a probability score indicating if it was written by an AI model like ChatGPT, GPT-4, or similar.
Not only provides an overall score but can also highlight specific sentences or passages within the text that are most likely to be AI-generated.
Allows users to check multiple documents at once via the dashboard or integrate the detection engine directly into other platforms using a REST API.
For users of the full PlagScan suite, the AI detector can be part of a comprehensive originality check that also scans for plagiarized content from the web and publications.
Provides plugins or LTI integrations for popular Learning Management Systems such as Moodle, Canvas, and others.
A professor receives a batch of student essays submitted online. Suspicious of unusually polished or generic writing, they run the texts through the AI Content Detector. The tool flags several submissions with high AI probability scores and highlights specific formulaic sections. This allows the professor to address potential academic dishonesty with evidence, initiate educational conversations about proper AI use, and ensure grading is based on authentic student work.
A journal editor receives a manuscript for peer review. To uphold publication standards and ensure human intellectual contribution, they use the detector to screen the submission. A clean report increases confidence in the authorship, while a high AI score might trigger a more thorough investigation or a request for clarification from the authors regarding their writing process and original data analysis.
A high school teacher integrates the AI detector into their classroom workflow via the school's LMS. Students submit drafts, and the tool provides formative feedback on AI usage. This helps educators teach the ethical boundaries of AI assistance, guiding students to use tools for brainstorming and editing rather than full composition, thereby fostering genuine writing skills and critical thinking.
A marketing agency hires freelance writers to produce blog posts and website copy. To ensure they are paying for original, human-crafted content that aligns with brand voice and SEO strategy, they run all delivered work through the detector. This quality control step helps maintain content authenticity, avoid potential SEO penalties for AI-generated spam, and verify that freelancers are providing the contracted service.
A university's academic integrity office uses the tool's API to conduct periodic audits of student work across departments. The aggregated, anonymized data helps administrators understand the prevalence of AI tool usage, identify trends, and develop informed, evidence-based policies regarding acceptable and unacceptable use of AI in coursework, shaping institutional guidelines for the AI era.
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