AI Resources for Educators : AI and Academic Integrity

Provides guidelines and examples for how to cite the use of generative AI as a reference in your Works Cited.

"n the wake of the high-profile launch of ChatGPT, no fewer than seven developers or companies have countered with AI detectors. That is, AI they say is able to tell when content was written by another AI. These new algorithms are pitched to educators, journalists, and others as tools to flag cheating, plagiarism, and mis- or disinformation.

It’s all very meta, but according to a new paper from Stanford scholars, there’s just one (very big) problem: The detectors are not particularly reliable. Worse yet, they are especially unreliable when the real author (a human) is not a native English speaker."

"When William Quarterman was accused of submitting an AI-generated midterm essay, he started having panic attacks. He says his professor should have handled the situation differently."

A blog by education writer Derek Newton that reviews AI detection software, among other issues of academic integrity. His focus is more on college students.

Professors at LIU use this simple statement on their syllabi in order to address AI use and academic integrity.

"The AIAS, then, comes before the assessment task and can be negotiated with students. It allows educators to very clear say how and why AI can or cannot be used in a given task. You can use the Scale to help students understand that in this assessment, it doesn’t matter if you use AI for idea generation or editing, but in this assessment we want you to demonstrate your own knowledge and skills unassisted."