Neutrosophic Sets and Systems
Abstract
In a digital world where scientific articles are published at an unprecedented rate, an additional step in the research process to facilitate discovery is an effective search and filtering for worthwhile articles. Thus, this study aims to solve the following research problem: how to search for scientific articles using artificial intelligence (AI) while applying ethical considerations and ancestral knowledge? The topical relevance is that as AI is a great vessel to seek potentially accessible knowledge, searches can be guaranteed through accuracy, inclusivity, and ethics. While many studies exist on the topic of AI related to searching, few, if any, extend a solution to addressing cultural and ethical ambiguity. Thus, a gap exists within the literature review. This research applies the Ayni Method. Multi-Neutrosophic, which is based on the Andean ancient logic of reciprocity, is fused with neutrosophic to assess truth, falsity, and indeterminacy. Findings indicate that increasing ethical awareness does, in fact, promote success because such factors are considered when creating prompts and Boolean searches. Ultimately, this research contributes to the literature by suggesting a methodologically innovative approach that increases the likelihood for ethically sound information use and successful scientific research with practical applications for any researcher across disciplines.
Recommended Citation
Mérida Córdova, Ennio Jesús; Elizabeth Esther Vergel Parejo; and Raúl López Fernández. "ScholarAI Scholarly Article Search Strategies with the Ayni Method Multi-Neutrosophic for Ethical Information Management in AI." Neutrosophic Sets and Systems 92, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol92/iss1/29