Ethics and Governance in AI: Implications for Data Ethics in South African Societies, 2012

Abstract

This study examines ethical considerations in Artificial Intelligence (AI) and data governance within South African societies, focusing on the implications for policy development in African Studies. A qualitative approach was employed to review existing literature, policy documents, and interviews with stakeholders from various sectors including government agencies, non-governmental organizations (NGOs), and private sector entities. The analysis aimed to uncover themes related to data privacy, confidentiality, and fairness in AI implementations. Data governance frameworks currently lack comprehensive ethical guidelines, particularly regarding the use of personal data in AI-driven applications. There is a need for more stringent regulations that address issues such as consent management, bias mitigation, and transparency in algorithmic decision-making processes. The findings indicate that a robust policy framework is essential to ensure that AI technologies are developed and deployed in ways that respect ethical principles and uphold societal values. The current governance structures need strengthening to better protect individuals from potential harms resulting from AI applications. Recommendations include the development of specific data ethics guidelines for AI, establishment of an oversight body responsible for monitoring AI developments, and increased public engagement through education campaigns on AI ethics.

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