This article examines the ethical dimensions of data in the digital age, focusing on the interplay of privacy, ownership, and governance. It highlights the risks posed by large-scale data collection, algorithmic applications, and weak regulatory environments. Drawing on case studies such as Facebook–Cambridge Analytica, India’s Aadhaar biometric system, and Smart City projects, the analysis demonstrates the consequences of unethical practices and the reforms that followed. Particular attention is given to the challenges faced by developing economies, where digital divides, limited literacy, and reliance on externally developed systems exacerbate vulnerabilities. Strategies such as privacy-by-design, stakeholder engagement, and regular audits are presented as mechanisms for embedding ethical governance into data systems. The article synthesizes theory, practice, and real-world lessons, offering pathways to build trust, equity, and sustainable digital development.
Building similarity graph...
Analyzing shared references across papers
Loading...
Anna Neya Kazanskaia (Wed,) studied this question.
www.synapsesocial.com/papers/68d7be62eebfec0fc52379fd — DOI: https://doi.org/10.64357/neya-gjnps-tech-data-03
Anna Neya Kazanskaia
Building similarity graph...
Analyzing shared references across papers
Loading...
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: