The article is divided into five broad sections addressing (i) the challenges with translating ethical principles into operational frameworks; (ii) a guide on how to embed ethics into the AI development cycle and what organisations can do to build a responsible AI culture; (iii) policies and regulatory frameworks that policymakers can adopt as well as existing policies such as the AU Data Policy Framework (Cipesa, 2022) and other national legislations that serve as building blocks; and (iv) recommendations on how to support responsible AI innovation.

This guide aims to equip stakeholders (governments, policymakers, and corporations) with the tools and knowledge to navigate the complex landscape of AI ethics and translate principles into concrete actions for a responsible and economically inclusive future.

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