A Checklist for Managing AI Use in Agribusiness and Applied Economics Courses

Since the release of artificial intelligence tools like ChatGPT, instructors are wrestling with how to maintain academic honesty when students have access to artificial intelligence (AI) tools that can assist them with completing course work. This paper explores the key ethical considerations that an instructor should evaluate when managing students’ use of AI tools. It reviews the syllabus guidance provided by 95 universities that house agribusiness and applied economics programs regarding ethical considerations for managing AI usage. A checklist of key considerations is created to guide instructors who are considering developing course policies for managing the use of AI in their classes. The checklist is used on a data analytics course to demonstrate how to create syllabus statements for the use of AI.

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Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2025-12-19
DOI
https://doi.org/10.71162/aetr.924926
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A Checklist for Managing AI Use in Agribusiness and Applied Economics Courses

Sean P. Hurley
AgEcon Search (University of Minnesota, USA)
Artificial Intelligence in Healthcare and Education
article

A Checklist for Managing AI Use in Agribusiness and Applied Economics Courses

Sean P. Hurley
article en

Abstract

Since the release of artificial intelligence tools like ChatGPT, instructors are wrestling with how to maintain academic honesty when students have access to artificial intelligence (AI) tools that can assist them with completing course work. This paper explores the key ethical considerations that an instructor should evaluate when managing students’ use of AI tools. It reviews the syllabus guidance provided by 95 universities that house agribusiness and applied economics programs regarding ethical considerations for managing AI usage. A checklist of key considerations is created to guide instructors who are considering developing course policies for managing the use of AI in their classes. The checklist is used on a data analytics course to demonstrate how to create syllabus statements for the use of AI.

AgEcon Search (University of Minnesota, USA)
Openalex Percentile: Top 40%
Artificial Intelligence in Healthcare and Education
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