This policy brief introduces a practical framework for applying the public policy lifecycle in regulating Artificial Intelligence (AI). Designed initially for governmental contexts, this lifecycle framework also offers immense value to private enterprises seeking to address AI’s challenges effectively. By utilizing its five-phase structure—Identification, Formulation, Adoption, Implementation, and Evaluation—organizations can develop comprehensive AI governance strategies that balance innovation with ethical responsibility.

Drawing from real-world examples, such as the European Union’s AI Act and hypothetical case study of AfriID’s bias mitigation efforts, this brief demonstrates how adapting the public policy lifecycle can help both governments and enterprises navigate complex challenges, including cybersecurity, sustainable development, and AI regulation.