Indexing Student and Faculty Reactions to GAI

The following paper analyzes the reactions of academic institutions to the proliferation of Generative AI (GAI) technologies through introducing the GAI Fairness Index (GAIFI), a novel indexing methodology that utilizes survey data to quantitatively assess an institution’s alignment with prevailing AI ethics guidelines. In order to demonstrate the validity of the GAIFI, the study applies this methodology to a Catholic high school in Maryland to assess how students and faculty at that institution are adapting to GAI. The GAIFI demonstrates potential to become a practical diagnostic tool for policymakers to develop informed, ethical AI policies, and can be applied to future research across different academic environments.

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Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsrhs.v13i3.7812
Primary Topic
Educational Tools and Methods
Type
article
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article

Indexing Student and Faculty Reactions to GAI

Allan Encarnacion
Journal of Student Research
Educational Tools and Methods
article

Indexing Student and Faculty Reactions to GAI

Allan Encarnacion
article en

Abstract

The following paper analyzes the reactions of academic institutions to the proliferation of Generative AI (GAI) technologies through introducing the GAI Fairness Index (GAIFI), a novel indexing methodology that utilizes survey data to quantitatively assess an institution’s alignment with prevailing AI ethics guidelines. In order to demonstrate the validity of the GAIFI, the study applies this methodology to a Catholic high school in Maryland to assess how students and faculty at that institution are adapting to GAI. The GAIFI demonstrates potential to become a practical diagnostic tool for policymakers to develop informed, ethical AI policies, and can be applied to future research across different academic environments.

Journal of Student ResearchVol. 13(3)
St. Mary's College (JP)
Openalex Percentile: Top 65%
Educational Tools and Methods
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