The rise of generative AI has changed how teachers think about take-home essays. A student can request an analysis of La machine à rajeunir and receive a polished response in moments, which raises obvious concerns about authenticity. Responding with fear or blanket bans rarely works, while thoughtful assignment design and clear expectations often do.

Start by deciding what your policy actually is, because ambiguity is the root of many integrity problems. Some teachers allow AI for brainstorming but not drafting, while others prohibit it entirely for certain tasks. Whatever you choose, state it in writing and explain the reasoning so students understand the purpose.

Enforcement through detection alone is unreliable, since detection tools can produce false accusations and are easily evaded. Building integrity into the assignment itself is more effective. Tasks that require personal engagement with the text and visible process are harder to outsource.

Design Assignments That Resist Outsourcing

Assignments that rely on class-specific discussions, personal reflection, or in-class writing are much harder to complete with a generic AI response. A prompt that asks students to connect the novel to a discussion held in class, or to reference a particular passage you selected, anchors the work in your classroom. Process-based assessment adds another layer of protection.

• Require outlines and drafts submitted at different stages
• Include in-class writing components that establish each student's baseline voice
• Ask for connections to specific class discussions or selected passages
• Add a short oral check where students explain their argument
• Use reflection tasks that describe the student's own writing process

Know Your Students' Writing

Regular low-stakes writing gives you a sense of each student's natural voice and level. A sudden jump in sophistication or a style that does not match prior work is a reason to have a conversation, not an accusation. A short discussion about the essay often reveals quickly whether the student understands what they submitted.

Approach these conversations with curiosity rather than suspicion. Ask the student to explain a particular paragraph or to talk through how they developed their thesis. Genuine authors can usually do this easily, and the exercise is educational even when the work was authentic.

Teach Responsible Use Where Appropriate

Students will encounter AI tools throughout their lives, so there is value in teaching them to use these tools responsibly. If your policy allows limited use, explain what is acceptable, such as asking for feedback on a draft the student wrote, and what is not, such as generating the argument. Clear examples make the boundary understandable.

Ask students to disclose any AI assistance and describe how they used it. This transparency treats them as responsible participants and helps you understand their process. It also normalizes honest discussion about technology rather than driving its use underground.

Use Grading Tools to Support Integrity

Rubric-based grading that rewards specific, text-based analysis naturally favors authentic work. Generic AI-written essays often lack the particular details and classroom connections that your rubric demands. Designing criteria that reward these features raises the quality bar for everyone.

Combining detailed feedback with revision tasks also helps. When students must respond to specific comments by improving their draft, it becomes clear whether they are engaged with the material. This process-focused approach shifts the emphasis from policing to learning.