KOFI ANOKYE OWUSU-DARKO (BLOG2)

  INTRODUCTION Data. Digital governance. Artificial intelligence. These terms appear together so frequently in policy documents, legislative debates, and governance discussions that they can begin to feel interchangeable, as though they describe a single challenge requiring a single response. They do not. Beneath what is often called digital governance lie three distinct but complementary disciplines: data protection governance , strategic data governance , and AI governance . Each has its own logic, instruments, primary purpose, and beneficiary. Understanding the difference between them is not an academic exercise. It is the practical precondition for designing governance systems that actually work. The three are related, but not interchangeable. Each touches data in some form, and each forms part of the broader challenge of governing the digital economy. But they ask different questions and require different institutional responses. A framework designed to answer one will...

  INTRODUCTION Ghana’s efforts to expand pension coverage have increasingly turned toward the informal sector , where the majority of the workforce remains outside formal retirement protection systems . Despite ongoing digital transformation across the financial sector , participation continues to lag behind expectations . The challenge is not simply one of access. It is also about designing systems that reflect the economic realities of informal sector workers , characterised by irregular incomes , limited financial buffers , and minimal engagement with structured savings mechanisms . At the same time, the rapid growth of digital financial services has introduced new possibilities . Mobile money platforms, digital identity systems, and platform-based economic activity are generating expanding streams of data . These can be harnessed to better understand user behaviour , tailor pension products, and improve system responsiveness . This data-driven environment offers a pathway ...