Africa explores responsible AI development at Data Protection Conference

The GSMA and the Centre for Information Policy Leadership (CIPL) have hosted a side event during the Network of African Data Protection Authorities (NADPA - RAPDP) Conference, focusing on data governance frameworks for artificial intelligence. Titled "Data Policy and Governance for AI: Fostering Responsible Innovation and Adoption," the session brought together regulators, industry leaders, and policymakers to discuss collaborative approaches to ethical AI development. 

Experts highlighted Africa's data diversity as a strategic advantage, noting that the continent's cultural and contextual variety offers unique datasets essential for training inclusive AI systems. Public-private partnerships were identified as crucial drivers of digitization, with participants emphasizing that AI's potential depends on access to high-quality, relevant data. The discussion referenced the GSMA's AI for Africa report, which examines these opportunities in detail. 

Accountability and transparency emerged as foundational principles for effective data privacy laws. Attendees reviewed regulatory approaches, including the GSMA's Smart Data Privacy Laws and Africa Digital Regulatory Index, which advocate for adaptable frameworks that balance EU-influenced models with region-specific needs. 

The importance of cross-sector collaboration was another key theme, with stakeholders stressing the need to align AI development with data protection standards. The GSMA's Responsible AI Maturity Roadmap was presented as a practical tool to guide organizations in implementing ethical AI practices. 

On cross-border data flows, participants acknowledged the challenges of regulatory fragmentation while underscoring the necessity of harmonized frameworks. The Malabo Convention and trade agreements were discussed as potential vehicles for creating a more cohesive regional approach. 

The session concluded with a focus on regulatory oversight, suggesting that data protection authorities and sector regulators adopt risk-based methods, such as regional sandboxes for Privacy Enhancing Technologies (PETs), to foster innovation while safeguarding privacy. 

By:  Nana Appiah Acquaye