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From Retaliation to Protection: Reimagining Whistleblowing in the South African Public Sector Through AI-Driven Solutions
Abstract
This study examines how Artificial Intelligence (AI) can enhance whistleblower protection in South Africa's public sector, where corruption continues to undermine governance and service delivery. Using a desktop qualitative approach, the study reviewed peer-reviewed literature, policy reports, and credible online sources through documentary and conceptual analysis. The findings highlight that whistleblowers remain critical in exposing corruption, malpractice, and maladministration, yet they face high levels of retaliation and insecurity. AI tools such as encrypted chatbots and blockchain platforms present practical solutions to safeguard anonymity, strengthen accountability, and improve trust in reporting systems. The study concludes that leveraging AI in public procurement processes could both protect whistleblowers and curb corruption. These insights contribute to ongoing debates on digital innovations in the Fourth Industrial Revolution and their implications for public policy.
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