Unlocking Artificial Intelligence (Ai) For Humanitarian Development in Nigeria - Prospects, Pitfalls and Future Outlook

Abstract

This study examines the possibilities, drawbacks, and prognosis of using artificial intelligence (AI) to improve humanitarian development in Nigeria through enhanced decision-making, data analysis, and resource allocation. Relying on the Humanitarian Development Framework Theory, and extant literature, the study highlights AI’s potential to support humanitarian development in the country. The three specific objectives of the study are to (i) examine the prospects of AI in humanitarian development in Nigeria; (ii) identify the pitfalls of AI adoption in humanitarian development in Nigeria; and (iii) explore the future outlook of AI in humanitarian development in Nigeria. Study findings reveal that while improved efficacy and efficiency of response are among the benefits of AI, poor data quality, infrastructure gaps, funding constraints, acceptance in society, and legal and ethical considerations are major drawback factors that must be addressed for AI to thrive. Also, AI has the potential to impact a broad selection of areas including policy and regulatory frameworks; integrated, human-focused and context-specific responses; enhanced infrastructures; greater acceptance in society; and social inclusion and equity. Key recommendations include: providing context-specific and human-centered AI solutions that are responsive to cultural differences and local demands; investing in upskilling and training of local stakeholders to efficiently utilize AI; strengthening stakeholder alliances to promote more coordinated responses; addressing moral issues and guaranteeing responsibility in the creation and application of AI, creating explicit legal and regulatory structures to guarantee ethical AI innovation and effective governance; and promoting the use of AI for social good while prioritizing humanitarian development.