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The new type of coronaviruses (COVID-19) crisis has had a devastating impact across the world. Public administration discipline addresses emergency crisis management in various ways and dimensions. This article seeks answers to the question "How AI can contribute to crisis management policies to fight against COVID-19 and its impacts?" To this, the techniques and methods of AI in fighting against the COVID-19 virus will be explained in various dimensions. AI can make significant contributions in the preparation, mitigation-prevention, response, and recovery policies in the COVID-19 pandemic crisis. If adopted, AI can be used to find better treatment routes and drug development. Equally, policymakers can benefit from AI as decision support to reach high-quality decisions through fast and accurate data. The paper concludes that governments should create and implement effective AI-based crisis management strategies to fight against the epidemic locally, regionally, nationally, and internationally with a multi-level governance perspective.

Promoting development in Africa has faced significant challenges partly because of the continent's peripheral access to global markets as well as its internal geographical limitations on the movement of people, goods, and services. However, the African Development Bank (AfDB) and its "developmental" role has emerged as a practical and tailored approach to Pan-African development, especially in the midst of a growing crisis in global multilateralism. This article argues that the AfDB can be a significant promoter of African development given its unique characteristics, focus areas, and lending style that are different from other multilateral institutions. Using a case-study approach, and by analysing literature on the AfDB, policy papers, and government reports, this study explores the developmental role of the bank and demonstrates its comparative advantage to other multilateral institutions in Africa.