{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T03:37:12Z","timestamp":1768448232994,"version":"3.49.0"},"reference-count":50,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T00:00:00Z","timestamp":1745971200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>The rapid evolution of Artificial Intelligence (AI) necessitates robust ethical frameworks to ensure responsible project deployment. This study addresses the challenge of quantifying ethical criteria in AI projects amidst contesting communicative practices, organizational structures, and enabling technologies, which shape AI\u2019s societal implications.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We propose a novel framework integrating Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to evaluate AI project performance and model ethical uncertainties using Fuzzy logic. A Fuzzy weighted average approach quantifies critical ethical dimensions: transparency, fairness, accountability, privacy, security, explainability, human involvement, and societal impact.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The framework enables a structured assessment of AI projects, enhancing transparency and accountability by mapping ethical criteria to project outcomes. ANN evaluates performance metrics, while ANFIS models uncertainties, providing a comprehensive ethical evaluation under complex conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>By combining ANN and ANFIS, this study advances the understanding of AI\u2019s ethical dimensions, offering a scalable approach for accountable AI systems. It reframes organizational communication and decision-making, embedding ethics within AI\u2019s technological and structural contexts. This work contributes to responsible AI innovation, fostering trust and societal alignment in AI deployments.<\/jats:p><\/jats:sec>","DOI":"10.3389\/frai.2025.1535845","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T16:54:44Z","timestamp":1746204884000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Navigating AI ethics: ANN and ANFIS for transparent and accountable project evaluation amidst contesting AI practices and technologies"],"prefix":"10.3389","volume":"8","author":[{"given":"Sandeep","family":"Wankhade","sequence":"first","affiliation":[]},{"given":"Manoj","family":"Sahni","sequence":"additional","affiliation":[]},{"given":"Ernesto","family":"Le\u00f3n-Castro","sequence":"additional","affiliation":[]},{"given":"Maricruz","family":"Olazabal-Lugo","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2025,4,30]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e00938","DOI":"10.1016\/j.heliyon.2018.e00938","article-title":"State-of-the-art in artificial neural network applications: a survey","volume":"4","author":"Abiodun","year":"2018","journal-title":"Heliyon"},{"key":"ref500","doi-asserted-by":"crossref","DOI":"10.1145\/3219819.3226070","article-title":"The US census bureau adopts differential privacy","volume":"2867","author":"Abowd","year":"2018","journal-title":"Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining."},{"key":"ref240","author":"Ahmad","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"050","DOI":"10.30574\/gscarr.2024.18.3.0088","article-title":"Navigating and reviewing ethical dilemmas in AI development: strategies for transparency, fairness, and accountability","volume":"18","author":"Akinrinola","year":"2024","journal-title":"GSC Adv. 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