Novels like Jazz are frequent subjects of AI-generated essays because the internet is full of summaries and analysis that language models have absorbed. A student can paste a prompt into a chatbot and receive a polished, plausible essay in seconds. Teachers are understandably concerned about how to assess genuine understanding. The most durable response is to design assignments and processes that make authentic work visible.

AI detection software is not a reliable foundation for accusations. Detectors produce false positives, particularly for multilingual writers and students with formal styles, and false accusations can seriously harm trust. Teachers who rely on a detector score alone risk treating honest students unfairly. A better strategy is to gather evidence of the student's own thinking over time.

Process-based assessment is the strongest safeguard. Requiring students to submit notes, outlines, annotated passages, and drafts creates a record of how the essay developed. A student who wrote the paper can discuss their choices and show where ideas came from. Those who did not will struggle to explain the work in a short conversation.

Designing prompts that resist generic answers

Generic prompts invite generic essays, which AI produces easily. Prompts that require connection to class discussion, personal annotations, or specific passages the class examined are harder to answer without genuine engagement. For example, asking students to analyze a passage selected in class and respond to a point a classmate raised in discussion ties the work to a particular experience. The more local the task, the more authentic the response.

• Require references to specific class discussions or annotated passages
• Collect planning notes and drafts alongside the final essay
• Include a short in-class writing sample to establish each student's voice
• Hold brief conferences where students explain their argument aloud
• Set clear and written expectations about what AI use is permitted

Setting clear expectations for AI use

Ambiguity breeds problems. If students are unsure whether using AI to brainstorm or check grammar is allowed, some will cross a line without realizing it. Teachers should spell out what is acceptable, such as using AI to explain a difficult passage, and what is not, such as generating the essay text. Explaining the reasoning, that the point of the assignment is to develop their own analysis, helps students see the purpose.

Policies should be consistent across the department so students do not receive conflicting messages. When expectations vary wildly between classrooms, confusion and unintentional violations increase. Collaboration on a shared policy also gives teachers support when issues arise. Students benefit from clarity and fairness.

When concerns arise

If a teacher suspects AI generation, the first step should be a conversation, not a punishment. Asking the student to explain their argument, discuss their choice of quotations, or rewrite a paragraph in class often clarifies the situation. The student's response, combined with process evidence, provides a fairer basis for judgment than a detector score. Documentation of the discussion protects both parties.

Grading tools that give transparent, rubric-based feedback can also support integrity by making the evaluation criteria clear. When students know exactly what is expected and receive useful feedback during the drafting process, the temptation to shortcut diminishes. Teachers can then focus on supporting genuine learning. Integrity becomes part of the learning culture, not just a matter of enforcement.

Teaching students to use AI responsibly

Rather than banning AI outright, some teachers incorporate it into instruction with clear boundaries. Students might use a chatbot to generate counterarguments to their thesis and then respond to them in their own words. Or they might compare an AI summary of Jazz with their own reading and note what it misses. These activities build critical thinking about the technology.

Discussions about why original thinking matters can motivate students more effectively than threats. Reading Morrison involves wrestling with ambiguity, which no summary can replace. Helping students see the value of that struggle changes how they approach assignments. A culture of intellectual honesty is the most lasting protection.