How generative AI policies and training can empower faculty and students

The first encounter between most faculty and generative artificial intelligence came in the Fall Semester of 2022, when student papers suddenly started appearing with nonsensical citations and made‐up evidence. Faculty‐recognized errors increased radically in Spring 2023, when it became clear that they were the result of AI “hallucinations,” the tendency for AI output to produce factual errors and fictitious quotations.

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Publication Details

Journal
Recruiting & Retaining Adult Learners
Published
2025-05-01
DOI
https://doi.org/10.1002/nsr.31324
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

How generative AI policies and training can empower faculty and students

William Arighi
Recruiting & Retaining Adult Learners
Explainable Artificial Intelligence (XAI)
article

How generative AI policies and training can empower faculty and students

William Arighi
article en

Abstract

The first encounter between most faculty and generative artificial intelligence came in the Fall Semester of 2022, when student papers suddenly started appearing with nonsensical citations and made‐up evidence. Faculty‐recognized errors increased radically in Spring 2023, when it became clear that they were the result of AI “hallucinations,” the tendency for AI output to produce factual errors and fictitious quotations.

Recruiting & Retaining Adult LearnersVol. 27(8)
Openalex Percentile: Top 96%
Explainable Artificial Intelligence (XAI)
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How generative AI policies and training can empower faculty and students — William Arighi · Recruiting & Retaining Adult Learners (2025) | TGRS Research Map | TGRS