While the government has debunked reports of a ban, the current lack of a clear, unified policy on the use of generative AI in ministries remains a cause for concern. Without specific, public-facing guidelines, individual departments are left to navigate the complexities of data privacy and model bias on their own. This fragmented approach creates significant risks, as sensitive government data could be inadvertently exposed or processed by third-party models without adequate safeguards.
Critics argue that silence is not a policy. By failing to issue a formal framework, the government is essentially leaving the door open for inconsistent practices across different ministries. This lack of oversight could lead to situations where one department adopts rigorous security measures while another ignores them, creating vulnerabilities that could be exploited by malicious actors. The public deserves to know how their data is being handled and whether AI tools are being used to make decisions that affect their lives.
Furthermore, the reliance on foreign-owned AI models presents a long-term challenge to national data sovereignty. When government functions become dependent on external platforms, the state loses control over the underlying technology and the data used to train it. A more proactive stance would involve setting strict standards for transparency, accountability, and local data processing, rather than simply clarifying that no ban exists.
Moving forward, the government must move beyond reactive clarifications and establish a comprehensive AI policy. This should include mandatory audits for AI tools used in public services and clear rules on what types of data can be processed by external models. Without such measures, the government risks compromising public trust and failing to protect the digital interests of its citizens.