Indexing Student and Faculty Reactions to GAI
DOI:
https://doi.org/10.47611/jsrhs.v13i3.7812Keywords:
Generative AI (GAI), Educational Technology, AI Policy, AI Integrity, Ethical AI Usage, AI-Driven Learning, AI Integration, AI Proliferation, AI Adoption in Schools, AI Policy AnalysisAbstract
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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