Making the Cut: An Exercise in AI-Aided Decision Making

This experiential exercise presents a two-part activity in which students practice and critically reflect on using artificial intelligence (AI) to aid decision making. In the first part, students develop their own criteria and decision matrix to evaluate a large pool of hypothetical job candidates and determine a short list of finalists to be interviewed—a task intentionally designed to be impossible to complete in the time allotted. In the second part, they use AI tools to aid them in the same task. In an extended debriefing, students evaluate AI’s decisions and reflect on their experience using AI for this purpose. The activity is designed to improve students’ AI literacy by giving them guided practice using AI for business purposes and bolstering their understanding of both positive and negative implications of AI-aided decision making.

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Publication Details

Journal
Management Teaching Review
Published
2025-09-22
DOI
https://doi.org/10.1177/23792981251374591
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Making the Cut: An Exercise in AI-Aided Decision Making

Matthew Elder, Kristen Lucas
Management Teaching Review
Ethics and Social Impacts of AI
article

Making the Cut: An Exercise in AI-Aided Decision Making

Matthew Elder, Kristen Lucas
article en

Abstract

This experiential exercise presents a two-part activity in which students practice and critically reflect on using artificial intelligence (AI) to aid decision making. In the first part, students develop their own criteria and decision matrix to evaluate a large pool of hypothetical job candidates and determine a short list of finalists to be interviewed—a task intentionally designed to be impossible to complete in the time allotted. In the second part, they use AI tools to aid them in the same task. In an extended debriefing, students evaluate AI’s decisions and reflect on their experience using AI for this purpose. The activity is designed to improve students’ AI literacy by giving them guided practice using AI for business purposes and bolstering their understanding of both positive and negative implications of AI-aided decision making.

Management Teaching Review
University of Louisville (US)
Openalex Percentile: Top 74%
Ethics and Social Impacts of AI
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