Trustworthy AI: African Perspectives, edited by Damian Okaibedi Eke, Kutoma Wakunuma, Simisola Akintoye, and George Ogoh, looks at how trustworthy artificial intelligence can be understood and developed in African contexts. This review considers the book from a contextual and action-oriented perspective, asking whether it takes trustworthy AI beyond approaches that are mainly universal and technical. One of the book's main strengths is the way it brings African agency, decoloniality, relationships, accessibility, affordability, and local adaptation into discussions about trustworthy AI. Its main limitation is not a lack of empirical work, but the uneven evidence for how these broader principles can be put into practice across Africa's very different settings. The book is relevant to policymakers, organisations, higher education, and action researchers because it shows that trustworthy AI is not only about technical performance. It also involves questions of power, participation, governance, and context.