During the Rally IA Future Lab event, a panel discussion explored the challenges of building a Moroccan artificial intelligence system without sufficient local data. The panel included Faiza Berkchi, an AI and regulation expert at the National Commission for the Control of Personal Data Protection (CNDP), and Mohammed El Hallabi, a specialist in AI and data governance.
Berkchi emphasized that data is the fuel for AI, and without representative Moroccan data, AI models risk being biased or ineffective for local needs. She noted that the CNDP is working on frameworks to encourage data sharing while protecting privacy.
El Hallabi argued that synthetic data and transfer learning could help overcome data scarcity, but stressed that these methods require careful validation to avoid errors. The discussion highlighted the need for a national data strategy to support AI development in Morocco.
