The broader impact: How AI-driven cloud platforms are shaping a trustworthy digital future

Gant, Rahul and Kumar, Rajeev (2025) The broader impact: How AI-driven cloud platforms are shaping a trustworthy digital future. World Journal of Advanced Engineering Technology and Sciences, 16 (1). 001-009. ISSN 2582-8266

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Abstract

This article examines how AI-driven cloud platforms reshape the digital landscape while fostering trust in an increasingly interconnected world. The convergence of artificial intelligence and cloud computing represents a transformative technological shift with profound implications across economic, social, and political dimensions. As these systems mediate critical interactions between stakeholders, concerns regarding data privacy, algorithmic transparency, and ethical decision-making have emerged as central challenges. Integrating compliance by design principles offers a promising approach to directly embedding regulatory adherence and ethical considerations into technological architectures. Beyond organizational boundaries, these platforms generate significant economic efficiencies while democratizing access to sophisticated capabilities previously available only to well-resourced entities. The article explores ethical frameworks governing responsible development, highlighting fair data usage, transparent processes, and human agency preservation as cornerstones. Given their transnational nature, these technologies necessitate international coordination on standards and governance frameworks while navigating complex data sovereignty issues. Looking forward, a symbiotic relationship between technological advancement and societal values promises to create simultaneously powerful and trustworthy systems, ultimately shaping a digital future where innovation and ethical governance advance in tandem.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.16.1.1075
Uncontrolled Keywords: AI-Cloud Convergence; Data Sovereignty; Compliance By Design; Ethical Governance; Responsible Innovation
Depositing User: Editor Engineering Section
Date Deposited: 22 Aug 2025 07:20
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URI: https://eprint.scholarsrepository.com/id/eprint/5187