Anyone can ask a chatbot for an essay on Synnøve Solbakken, and the result will often look plausible. Teachers are understandably worried about what this means for assessment. The most durable response is not a technology arms race but a combination of clear policy, thoughtful assignment design, and visible student process.

A clear policy begins by stating what is allowed. Some teachers permit AI for brainstorming but not drafting, while others allow limited use with disclosure. Whatever you choose, ambiguity creates problems because students may genuinely not know where the line is.

Detection software is unreliable and can produce false accusations, so it should not be the foundation of your approach. Relying on it risks damaging trust with students who did their own work. Better strategies make it harder to submit work that is not the student's own and easier to see how it was produced.

Design Assignments That Reward Real Engagement

Prompts that require specific engagement with the text, class discussion, or personal reflection are harder to outsource. Asking students to analyze a particular scene discussed in class, or to respond to a classmate's argument, ties the essay to experiences a generic tool lacks. These assignments are also more interesting to write and read.

• Tie prompts to class discussions and specific scenes
• Require quotations with page numbers from the assigned edition
• Collect proposals, outlines, and drafts along the way
• Include a brief in-class writing component
• Ask for a short reflection on the writing process

Make the Process Visible

When students submit a thesis, an outline, and a draft before the final essay, the process itself becomes evidence of authorship. Sudden shifts in voice or quality between stages are easier to notice and discuss. This approach also improves learning by encouraging revision.

Conversations are often more revealing than any software. A short conference in which a student explains their argument and chooses a favorite passage quickly shows whether they understand the work. These talks need not be adversarial and often become some of the best teaching moments.

Teach Responsible Use Where It Fits

Some teachers choose to allow limited AI use and teach students to do it responsibly. For example, students might use a tool to generate counterarguments to their thesis and then respond to them. Teaching this explicitly builds critical thinking and prepares students for real-world environments.

Whatever approach you adopt, require disclosure so that expectations are transparent. A short statement describing any AI assistance keeps the relationship honest. It also gives you information about how students are actually using these tools.

Communicate and Revisit the Policy

Share the policy in writing and discuss it in class, including the reasons behind it. Students are more likely to follow rules they understand and see as fair. Invite questions and clarify gray areas before the first assignment.

Revisit the policy each term as tools and norms change. A department-level agreement can reduce confusion across sections and support teachers when disputes arise. Integrity is easier to protect when expectations are consistent.