Few subjects make teachers more cautious about AI grading than contested history. If a student argues that a textbook underplays racism, or that it is unfairly harsh on a national hero, will software judge the argument or the opinion? That question deserves a straight answer.

The answer depends almost entirely on how the grading is set up. A tool that scores against a clear, viewpoint-neutral rubric evaluates reasoning and evidence. A tool asked to judge whether an answer is "correct" on a disputed question is on shakier ground.

This matters for anyone teaching from books like Lies My Teacher Told Me, where students are encouraged to reach their own conclusions. The grading approach has to reward the quality of an argument, not the direction of it.

Teachers can test for this before relying on any system.

Design the Rubric for Reasoning

Write criteria that describe how an argument is built instead of what it concludes. "Supports the claim with accurate, relevant evidence" is neutral. "Agrees that the textbook is biased" is not, and it should never appear in a rubric.

• Score claim clarity, not claim direction
• Score evidence accuracy and relevance, not evidence volume
• Score treatment of counterarguments, not agreement with either side
• Keep factual correctness separate from interpretation
• Make sure descriptors could be applied to opposite conclusions equally

Test Before You Trust

Write or gather two essays of similar quality that take opposite positions on a topic. Run both through your grading workflow and compare the results. If the scores diverge on viewpoint alone, adjust the rubric or the process.

Repeat with a few different topics. Spot checks like this take an hour and reveal a lot. They are also worth sharing with colleagues and administrators who ask about fairness.

Keep Humans in the Loop

AI feedback should be a draft that a teacher reviews, not a final grade issued on its own. This is especially true for essays on sensitive topics, where context and tone matter. Reviewing every score is a reasonable standard.

Give students a way to ask questions about their feedback. An appeals or conference process signals that the grade reflects reasoning, not software output. It also catches the occasional miss quickly.

Be Transparent

Tell students and families how feedback is produced and who reviews it. Share the rubric in advance. Openness reduces suspicion and helps students focus on the criteria rather than on the tool.

Check your school or district policy as well, since expectations for AI use vary. Clear communication now prevents awkward conversations later. Fairness is as much about process as it is about technology.