Africa: Privacy

While organisations invest heavily in data governance frameworks to manage information security and compliance, a critical gap is emerging: the assumption that governing data automatically means governing the AI systems that use it. This article examines why data governance and AI governance are distinct disciplines, exploring the unique risks that arise when AI operates faster than the governance structures designed to control it...

Many businesses make a critical compliance mistake when launching their digital presence: copying privacy policies from other websites instead of creating accurate statements that reflect their own data processing activities. Under Nigeria's Data Protection Act 2023, this seemingly harmless shortcut can expose organizations to regulatory risks, undermine transparency obligations, and deprive individuals of their fundamental rights to understand how their personal information is handled.

Day after day, an increasing number of businesses are incorporating Artificial Intelligence (AI) tools and systems into their operations to process customers’ personal data, analyse information, and automate decision-making processes. The reason for this growing adoption is not difficult to appreciate, as AI tools/AI systems are capable of processing, analysing, and extracting insights from vast and complex datasets with precision, consistency, and objectivity in seconds, far beyond human capabilities if replicated within the same timeframe.