"While numerous ethical frameworks for AI exist, translating them into actionable policies for responsible development in Africa remains a challenge for several reasons which would be discussed in subsequent sections. More importantly, it is expedient to build frameworks that are reflective of the sociocultural milieu (Seguna, 2021; Kiemde & Kora, 2022; Roche, Wall, & Lewis, 2023). To do this, it is important to design policies that mirror the values, needs and interests of Africans. Alongside policies for AI development and deployment, investments to support the creation of multi-modal large language models (LLM) need to be instituted to help plug the gaps models that are heavily Western-centred may pose. Singapore’s $52 Million AI Initiative to develop Southeast Asian LLMs to ensure proper representation of the region’s diverse culture and languages (Ramachandran, 2023) is an example of such investment. By making such critical investments, the continent sets the stage to participate in the drive to boost productivity with AI, gain competitive advantage, and participate in the growing technological revolution.
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." (Introduction, pages 4-5)