Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria

Analysis

Why This Paper Matters

This paper addresses a critical yet underexplored intersection of AI, e-commerce, and digital sovereignty in a developing country context. As mobile shopping apps proliferate in Nigeria, the integration of AI features—such as recommendation engines, chatbots, and fraud detection—raises concerns about user control and transparency. The study's focus on platform transparency as a proxy for digital sovereignty is timely, given global debates on algorithmic accountability and data governance.

The research is significant because it provides empirical evidence from a region often underrepresented in AI ethics and transparency studies. By combining forensic analysis of Android apps with socio-economic analysis, the authors offer a holistic view of how AI deployment affects users' awareness and control. This is particularly relevant as emerging economies increasingly rely on digital platforms for commerce, often with less regulatory oversight than developed nations.

Technical Contributions

• Forensic analysis of Android applications: The study applies forensic techniques to inspect app binaries and resources, identifying AI-related components and features.
• Transparency evaluation framework: It introduces a method to assess disclosure practices, examining whether apps inform users about AI use, data collection, and algorithmic decision-making.
• Contextual document analysis: The authors analyze policy documents, app store descriptions, and other materials to contextualize AI features and transparency claims.
• Socio-economic analysis: The study integrates national-level data on internet penetration, mobile usage, and digital literacy to interpret findings within Nigeria's socio-economic landscape.

Results

The paper reports that AI is widely implemented across the analyzed mobile shopping apps, but transparency about its use is limited. Specifically, many apps do not clearly disclose AI-driven features or data processing practices. The socio-economic analysis indicates that Nigeria shows increasing dependence on consumer digital platforms, moderate AI awareness among users, and uneven patterns of interaction—suggesting that many users may not fully understand or control AI's role in their shopping experiences.

While the abstract does not provide quantitative metrics, the qualitative findings highlight a significant gap between AI deployment and user awareness, underscoring the need for improved transparency mechanisms.

Significance

This study contributes to the growing body of research on AI transparency and digital sovereignty, offering a novel empirical approach that combines technical analysis with socio-economic context. It challenges the assumption that AI adoption automatically benefits users, especially in regions where digital literacy is moderate and regulatory frameworks are nascent. The findings have implications for policymakers, app developers, and international organizations seeking to promote ethical AI practices globally.

By focusing on Nigeria, the paper fills a gap in the literature and provides a model for similar studies in other emerging markets. It also highlights the importance of transparency as a fundamental component of user control, paving the way for future research on how to design AI systems that respect individual sovereignty.