Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria
📰 ArXiv cs.AI
This study explores the governance and regulation of AI in Nigeria, highlighting ethical risks, regulatory gaps, and institutional readiness
Action Steps
- Conduct qualitative case studies to gather data on AI governance perceptions
- Identify ethical risks and regulatory gaps in current AI governance frameworks
- Assess institutional readiness for AI regulation and governance
- Develop recommendations for policymakers and stakeholders to improve AI governance
Who Needs to Know This
Legal professionals, policymakers, and AI researchers on a team can benefit from this study to understand the challenges and opportunities of AI governance in developing countries, and to inform the development of effective regulatory frameworks
Key Insight
💡 Developing countries face unique challenges in governing and regulating AI, requiring tailored approaches to address ethical risks and regulatory gaps
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🚀 AI governance in developing countries: Nigeria case study highlights ethical risks, regulatory gaps, and institutional readiness 🚀
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