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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

π Paper Information
| π Paper Title | IOT BASED: Smart Irrigation System Using RTC Module |
| π€ Authors | Sherifa A.J.B, Vigneshwari L.B, Golda P, Ms.Sajila |
| π Published Issue | Volume 9 Issue 2 |
| π Year of Publication | 2026 |
| π Unique Identification Number | IJSRED-V9I2P161 |
| π Search on Google | Click Here |
π Abstract
The rapid proliferation of Artificial Intelligence (AI) across industries and governance domains has intensified the need for ethical, interoperable, and internationally coherent governance strategies. AIβs transboundary influence on human rights, economic systems, social equity, and security necessitates governance frameworks that reconcile diverse legal systems, cultural values, and technological capacities. This analytical review synthesizes international models, treaties, norms, and multi-stakeholder governance strategies that aim to embed fundamental ethical values including human rights protection, fairness, accountability, transparency, and sustainability into AI policy and practice. Drawing on global standards such as the OECD AI Principles [2], UNESCO Recommendation on the Ethics of AI [1], emerging treaty frameworks [5], and multi-stakeholder collaborations like the Global Partnership on AI (GPAI) [3], this article categorizes governance strategies, compares regional approaches, and identifies persistent gaps. Recent initiatives have also focused on operationalizing these principles through AI certification programs, public-private ethics labs, and cross-border data governance agreements. For instance, the European Commissionβs AI testing sandboxes in 2025 allow multi-national cooperation on safe deployment of AI in healthcare and transport, providing empirical insights into ethical compliance across jurisdictions. This review concludes with policy recommendations and future research directions emphasizing inclusivity, interoperability, and dynamic adaptation to emerging AI risks.
π How to Cite
Sherifa A.J.B, Vigneshwari L.B, Golda P, Ms.Sajila,"IOT BASED: Smart Irrigation System Using RTC Module" International Journal of Scientific Research and Engineering Development, V9(2): Page(1041-1046) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
π Other Details
