Nigeria: Privacy

Artificial intelligence, cloud computing, cybersecurity and digital sovereignty have fundamentally changed the way governments think about data. Around the world, policymakers are increasingly asking where data should be stored, who should have access to it and under what circumstances it should leave national borders. These questions are no longer confined to technology policy, they have become matters of economic policy, national security, industrial development and international trade.

The May Policy Trend Trail covers a wide range of policy developments across various sectors including education, urban development, social governance and health.

Modern sports organizations increasingly rely on data analytics to enhance athlete performance and gain competitive advantages. However, this data-driven approach raises critical questions about how to protect athletes' personal information while maximizing the benefits of performance tracking. The intersection of sports technology and privacy law creates complex challenges that require careful navigation by teams, leagues, and legal professionals.

Modern sports organizations increasingly rely on data analytics to enhance athlete performance and gain competitive advantages. However, this data-driven approach raises critical questions about how to protect athletes' personal information while maximizing the benefits of performance tracking. The intersection of sports technology and privacy law creates complex challenges that require careful navigation by teams, leagues, and legal professionals.

Agentic AI systems operate autonomously, making decisions and processing data in ways users cannot predict or control. This creates a fundamental mismatch between existing data-protection frameworks built on notice-and-choice principles and the reality of how these systems collect, infer, and share personal information. The article examines whether current consent models, controller definitions, and liability frameworks can adequately govern AI agents that independently chain data sources

In today's digital economy, data has emerged as one of the most valuable corporate assets. Businesses routinely collect, process, store, and transfer vast amounts of personal information relating to customers, employees, contractors, and other stakeholders. While corporate governance discussions have focused on financial performance, regulatory compliance, board effectiveness, and environmental, social, and governance (ESG) considerations, data protection has often been treated as a purely technical or operational concern.