Ethics and Governance in AI: A Comparative Analysis in Madagascar's Context

Recent advancements in artificial intelligence (AI) have led to increased interest in its ethical implications, particularly within African societies where governance structures and data practices are evolving. The research methodology involves a comparative analysis of relevant policies, legal documents, and stakeholder interviews conducted among key sectors including government agencies, tech companies, and civil society organizations. Key findings reveal significant disparities between Madagascar's current data governance practices and international standards, particularly in the areas of privacy protection and transparency. A notable theme is the underrepresentation of public participation in AI decision-making processes. The comparative analysis highlights a need for stronger regulatory frameworks to ensure ethical AI deployment and equitable data management across all sectors. Recommendations include establishing an inter-ministerial committee to oversee AI developments, enhancing public awareness about privacy rights, and incorporating more diverse stakeholders in decision-making processes. AI Ethics, Data Governance, Madagascar, Comparative Study