Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kondaveeti, Anthony Raju; Roy, Apash; Shrivallabha, S.; Aiswarya, V.R. Title A name given to the resource Indian Emotional Alignment Score (I-EAS): A Pilot Framework for Culturally-Aware AI Evaluation in Multilingual Contexts Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Systems for Cybersecurity, ISCS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ISCS69371.2025.11385960" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISCS69371.2025.11385960</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034887268?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034887268?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kondaveeti A.R., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Roy A., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Shrivallabha S., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Aiswarya V.R., Christ (Deemed to Be University), Department of Psychology, Karnataka, Bengaluru, India Description An account of the resource The current Emotional Intelligence (EI) standards of large language models (LLMs) are predominantly Western, thereby excluding billions of non-Western users from being judged fairly by AI. I-EAS, a new culture-based evaluation system, is grounded in indigenous epistemology and a computational evaluation framework to address a critical gap in AI Fairness. I-EAS takes into account four weighted factors: Emotional Alignment, Cultural Resonance, Coherence, and Code-Switching. It prioritizes cultural appropriateness and maintains a rigorous methodology. The pilot study uses 150 systematically crafted prompts in Hindi, Tamil, and English in diverse Indian cultural scenarios to test three LLMs: Claude Sonnet 4, GPT-4o-mini, and Krutrim-Base. The results highlight the inherent drawbacks of automated cultural assessments, as the weak relationships between human and automated assessments indicate that current NLP models are unable to respond to cultural nuances. The human evaluation was more discriminative than the automated evaluations, as the automated code-switching evaluations were not successful. The limitations of the pilot study include the presence of only one annotator. However, they prove I-EAS as a preliminary methodological and theoretical framework to equitable AI evaluation in culturally diverse situations and the necessity to use hybrid human-computational measures of AI systems in different cultural contexts. 2025 IEEE. Subject The topic of the resource Code-Switching; Cultural AI; Multilingual NLP Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833157243-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online