The OECD.AI Policy Navigator

Côte d’Ivoire’s National AI Strategy (SNIA 2030) was developed in response to the country’s low ranking in global AI readiness assessments, which it frames as an opportunity to build a strong, inclusive and sovereign AI ecosystem. The strategy places human development at the centre of AI policy and explicitly aligns its objectives with several UN Sustainable Development Goals, including zero hunger, health, education, innovation, climate action, peace, justice and partnerships.

The strategy is structured around three fundamental pillars: investment, inclusion and governance. The investment pillar seeks to address structural weaknesses in the national AI ecosystem, such as insufficient digital infrastructure, limited access to quality data and a shortage of skilled professionals. It proposes the development of national data centres, supercomputing capacity and shared computing clusters, alongside expanded broadband connectivity, particularly in rural areas. It also includes financial mechanisms such as dedicated funding for AI start‑ups, public‑private partnerships, tax incentives for research and development, and the creation of an Innovation Hub.

The inclusion pillar focuses on deploying AI across five priority sectors: agriculture and food security, health and well‑being, academia and research, public services and administration, and arts and culture. In agriculture, the strategy promotes predictive algorithms, drones and climate forecasting to improve productivity. In health, it prioritises AI‑assisted diagnostics, telemedicine and epidemic monitoring. In education, it foresees personalised learning tools and the introduction of AI teaching modules. Across all sectors, it aims to reduce the digital divide between urban and rural populations and to empower women, youth and vulnerable groups.

The governance pillar calls for the adoption of a dedicated AI law, the creation of a national data authority and the development of a national ethics framework inspired by international standards. It introduces oversight tools such as algorithmic audits, citizens’ rights to contest automated decisions, cybersecurity safeguards for critical infrastructure and a “SafeAI” certification label. Implementation is led by a new National AI Agency, supported by a multi‑stakeholder National AI Council, with monitoring based on indicators, regular reporting, a digital dashboard, external evaluations and five‑year strategic reviews.