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International Journal of Scientific Research and Engineering Development( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175 |
IJSRED » Archives » Volume 9 -Issue 2

📑 Paper Information
| 📑 Paper Title | An Analytical Study of Ontological Foundations for Ethical Artificial Intelligence: Standards of Being and Responsibility |
| 👤 Authors | Cherina.T, Preethi.R, Vinothini.M, Mr.Syed Mohammed Ali |
| 📘 Published Issue | Volume 9 Issue 2 |
| 📅 Year of Publication | 2026 |
| 🆔 Unique Identification Number | IJSRED-V9I2P242 |
| 📑 Search on Google | Click Here |
📝 Abstract
Ethical artificial intelligence (AI) has emerged as a central concern as algorithmic systems increasingly shape societal, economic, and governmental decision-making. While numerous ethical AI frameworks articulate normative principles such as fairness, accountability, transparency, and privacy, their implementation remains inconsistent due to the absence of shared semantic foundations. Ontological standards provide a formal mechanism to represent ethical concepts, system entities, and normative constraints in a structured, machineinterpretable manner. This paper presents a systematic literature review of recent research on ethical AI, ontology engineering, and AI governance standards published between 2021 and 2026. By synthesizing findings across technical, philosophical, and regulatory domains, the review identifies key ontological categories relevant to ethical AI, examines existing standardization initiatives, and highlights gaps in current approaches. The analysis demonstrates that ontology-driven ethical modelling can enhance interoperability, traceability, and certification of AI systems. The paper concludes by proposing future research directions for developing unified ontological standards to support trustworthy and socially aligned AI. Recent advances in large-scale generative models, autonomous systems, and adaptive decision architectures further underscore the urgency of formal semantic foundations. As AI systems increasingly participate in openended reasoning and multi-agent environments, informal ethical guidelines become insufficient without computable representations of responsibility, agency, and normative constraints. Ontological modelling thus emerges not merely as a technical enhancement, but as an epistemic infrastructure for aligning AI behavior with social expectations.
📝 How to Cite
Cherina.T, Preethi.R, Vinothini.M, Mr.Syed Mohammed Ali,"An Analytical Study of Ontological Foundations for Ethical Artificial Intelligence: Standards of Being and Responsibility" International Journal of Scientific Research and Engineering Development, V9(2): Page(1681-1687) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
📘 Other Details
