Teaching a novel about authorship in the age of generative AI creates an unusual opportunity. Martin Suter's Lila, Lila centers on a man who presents someone else's writing as his own, which echoes the anxieties teachers now feel about student work. Rather than treating the parallel as awkward, you can use it as the foundation for a transparent classroom policy on AI. Students are more likely to respect rules they understand and helped discuss.

A strong policy is specific about what is allowed, what is not, and what students must disclose. Vague statements like "use AI responsibly" leave too much room for misunderstanding and unfair enforcement. A better policy might permit AI for brainstorming topic ideas and checking grammar after a draft is complete, while prohibiting it for generating thesis statements, analysis paragraphs, or any text submitted as the student's own. Concrete examples reduce the chance that honest students will cross a line unintentionally.

Explain the reasoning behind each rule, since students are far more receptive to boundaries that make sense. For example, drafting an argument yourself builds the analytical skill the assignment is designed to develop, while an AI-generated paragraph skips that learning. Connecting the rule to the purpose of the essay shifts the conversation from punishment to growth. Students begin to see AI limits as protecting their own development.

Elements of an Effective Policy

Write the policy in plain language and place it on the assignment sheet, not just in the syllabus. Students often forget syllabus statements, but they read assignment instructions closely. Include a short disclosure requirement, such as a sentence at the end of the essay describing any tools used and for what purpose. This encourages honesty and gives you context if questions arise later.

• Describe permitted uses with examples, such as brainstorming or grammar review after drafting
• Describe prohibited uses, such as generating thesis statements or analysis paragraphs
• Require a brief disclosure note listing any tools used and how
• Explain the connection between the rules and the skills being assessed
• State how suspected violations will be handled and what the process looks like

Designing Assignments That Support the Policy

Policies work best when the assignments themselves encourage original thinking. Require students to refer to specific class discussions, to cite page numbers from their own copy of the novel, or to submit a short process note explaining how their thesis evolved. These elements are harder to fabricate and reveal genuine engagement. They also make it easier to recognize when a final essay does not match a student's earlier work.

Include in-class writing at regular intervals so you have an authentic sample of each student's voice. A short thirty-minute response to a prompt about David's motives provides a baseline that you can compare with take-home essays. Consistent differences in sophistication or style are a reason for a supportive conversation rather than an accusation. This approach preserves trust while protecting the integrity of the course.

Handling Concerns Fairly

Because AI detection tools are unreliable and can produce false positives, avoid basing disciplinary decisions on a detector score alone. Instead, talk with the student, ask them to explain their ideas and drafting process, and review any available drafts or notes. A student who wrote the essay can usually discuss it fluently, while a student who did not often struggles. Following a documented, consistent procedure protects both fairness and the student relationship.

Revisit the policy each year as tools and school guidance evolve. Invite students to give feedback on whether the rules felt clear and reasonable, which also models the kind of transparency you hope they will practice. Share any updates with colleagues so the department presents a consistent message. A well maintained policy turns a source of anxiety into a shared understanding of what honest authorship means.