Students can now ask a chatbot for an essay on The Death of Artemio Cruz and receive something that looks plausible in seconds. Literature instructors have to decide how to respond, and the answer is rarely a blanket ban or unrestricted permission. A clear policy that explains what is allowed, what is not, and why gives students the information they need to make responsible choices.

Begin by deciding what you want students to learn from each assignment. If a task is meant to build the skill of constructing a thesis from a close reading, having a tool generate the thesis defeats the purpose. If another task is about revising for clarity, using a tool to suggest edits may be consistent with your goals.

Then translate those decisions into specific language. A policy that says "use AI responsibly" leaves too much room for confusion, whereas one that says "you may use AI to brainstorm questions about the novel but not to write sentences you submit" tells students exactly where the line is. Specificity reduces unintentional violations and makes enforcement fairer.

Explain the Reasons Behind the Rules

Students are more likely to follow a policy they understand. Explain that the point of writing about Fuentes is to practice interpreting difficult texts, and that outsourcing the thinking skips the learning. Framing the rule around skill development rather than punishment tends to produce better cooperation.

• State which tasks permit AI assistance and which do not
• Explain the learning goal behind each restriction
• Require disclosure when AI has been used, including how
• Describe consequences clearly and apply them consistently
• Offer examples of acceptable and unacceptable use

Design Assignments That Support the Policy

Policies work best when paired with assignment design. In-class writing, drafts submitted in stages, and prompts that ask for personal analysis of specific passages all make it harder to submit unexamined machine text. Asking students to explain their reasoning in a short conference or reflection also provides evidence that the work is their own.

Avoid relying solely on detection tools, which can produce false positives and damage trust. Instead, compare submissions with students' earlier work and look for the specificity that human readers of the novel tend to provide, such as references to particular scenes and voices. Conversations with students are often more revealing than software.

Use AI Transparently as an Instructor

If you use tools yourself, be open about it. GraideMind, for example, generates feedback against a rubric that the instructor reviews, and telling students that this is how feedback is produced models the transparency you expect from them. Students are more accepting of AI in the classroom when they see responsible use demonstrated.

Make it clear that automated feedback supports learning rather than replacing the instructor's judgment. Explain how you review comments and what role they play in grading. Clarity about your own practices builds the credibility you need when enforcing a policy about theirs.

Review and Revise the Policy

Technology changes quickly, so revisit the policy at least once a year. Ask students and colleagues what is working and where the language created confusion. A living document is more useful than a rule set in stone and handed down once.

Share your updated policy early in the term and invite questions. Spend a few minutes discussing it, including examples drawn from the novel assignments. Students who understand the reasoning are far more likely to act with integrity.