Ethical Data Usage in Cross-Border AI Systems

doi:N/A

Research Article | Volume 3 Issue 4 (October - December, 2025) | Pages 1 - 8

Helena D. Moretti

Rafiq M. Chowdhury

Yuto Nakamori

Centre for Global Artificial Intelligence Ethics, University of Milan, Italy

School of International Digital Governance, Indian Institute of Business Research, India

Faculty of Computational Ethics & Data Sovereignty, Kyoto University, Japan

Abstract

The growing interdependence of digital ecosystems allows artificial intelligence (AI) systems to train on globally sourced datasets, enabling improvements in multilingual models, personalized services, and cross-border innovation. However, ethical concerns arise when data crosses national boundaries without legal clarity, informed consent, cultural sensitivity, or alignment with local governance norms. This paper examines ethical issues in internationally distributed data pipelines, including privacy violations, data colonialism, surveillance abuse, cultural misinterpretation, and power asymmetries. Using hypothetical datasets from five regions, we analyze how regulations such as GDPR, China’s PIPL, India’s DPDP Act, and U.S. sectoral privacy laws impact AI ethics. A Global Ethical Data Framework is proposed to ensure transparent, fair, culturally aware, and lawful AI systems.

Keywords

Cross-Border Data Flows

AI Ethics

Data Privacy

Global Governance

Digital Sovereignty

International Regulation

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