Start with pedagogy, not policing
Generative AI changed how drafts begin, not why we assign writing. Your course still needs clear learning outcomes: argument, evidence, revision, and disciplinary voice. Treat AI detectors as review aids that surface passages worth a conversation — never as automatic proof of misconduct.
Explain to students that probabilistic scores reflect writing-style signals, not authorship certainty. When a score is low or suppressed, say so plainly. When a score is elevated, pair it with your knowledge of the student's prior work, draft history, and the assignment's constraints.
Design assignments that reward visible thinking
Open-ended prompts with local or personal context are harder to outsource credibly. Ask students to connect readings to a specific lecture, lab result, or community example. Require intermediate artifacts: proposal, annotated bibliography, partial draft with instructor comments, and a short reflection on what changed between versions.
In-class writing, oral defenses, and process portfolios complement any automated review. They reduce false positives for multilingual writers and students who edit heavily with assistive tools.
Use detection reports in office hours
When you open a report, read the overall band first, then highlighted passages. Ask: Does this excerpt match what I know about the student's voice? Are citations and claims tied to course materials? Does the flagged section read like undigested summary rather than argued analysis?
Document your decision path. Note which passages you discussed, what revisions you requested, and whether the student provided credible draft history. This protects appeals and models fair process.
Communicate limits honestly
Tell students that edited AI, paraphrased AI, and collaborative human-AI writing can produce ambiguous scores. Our system suppresses low-confidence results and avoids showing exact percentages below 20% because those ranges are unreliable.
Invite questions about responsible tool use. A syllabus statement that only bans AI without defining acceptable assistance creates confusion. Prefer concrete rules: which tasks may use grammar tools, when disclosure is required, and how to cite AI-assisted brainstorming.
Support multilingual and neurodiverse writers
Formal academic register can elevate false signals for writers who code-switch or who learned English in structured classroom settings. Never treat a single elevated score as definitive for any student — especially when confidence is low or word count is short.
Offer revision-focused feedback before integrity meetings. Many flagged passages improve with coaching on specificity, citation, and sentence variety rather than disciplinary escalation.