Jakarta, INTI - Indonesia’s Deputy Minister of Communication and Digital Affairs, Nezar Patria, emphasized that data quality and security are essential to protecting the public from artificial intelligence risks such as errors, bias, and malicious manipulation.
He warned that data poisoning practices can compromise AI systems and directly impact society, ranging from flawed automated decisions to the misuse of personal information.
Nezar said, “If we want sustainable and sovereign AI innovation, then the data management we are discussing today becomes extremely important. We need strong data management, and it must serve as a fundamental foundation. That is why I invite all of us to focus on three key aspects.”
Data Quality as the Foundation of Safe AI Systems
According to him, AI performance is heavily dependent on the quality of datasets. Unclean and unstandardized data can lead to distorted outcomes that harm the public.
He stressed, “AI is highly vulnerable to disruption when data poisoning occurs, for example when the data is not clean.”
Nezar also underlined the need for adaptive regulations that safeguard privacy and ethics without slowing technological progress.
He explained, “Our regulations must be adaptive, strong enough to protect privacy and ethics, yet agile enough to encourage experimentation and innovation. We aim to provide protection without blocking innovation. We must balance protection with growth and prevent data concentration that weakens our digital sovereignty.”
He further highlighted the importance of jointly developed data management standards involving both public and private sectors to ensure datasets used for AI development are clean, relevant, and representative.
Nezar said, “This is why this morning’s discussion is so important, to explore in greater depth how data management standards should be built. DAMA, I believe, can help here by involving both public and private sectors.”
He also pointed out that the main challenge lies not in the technology itself, but in human readiness and data governance processes.
He emphasized, “The biggest problem in adopting these advanced technologies is not the technology, but people and processes. Without competent talent in data and AI, the sovereignty we talk about will remain mere rhetoric.”
The Ministry of Communication and Digital Affairs has opened broader collaboration channels to build a strong national data governance framework, viewed as essential to ensuring AI development in Indonesia remains secure, accurate, and truly serves the public interest.
Conclusion
Nezar Patria’s remarks highlight a growing recognition that the future of artificial intelligence in Indonesia hinges not only on technological advancement, but on the strength of data governance, regulatory frameworks, and human expertise. By prioritizing high-quality datasets, adaptive policies, and cross-sector collaboration, Indonesia aims to build an AI ecosystem that is both innovative and accountable.
As AI adoption accelerates across industries, establishing national standards for data security and integrity will be crucial to safeguarding public trust and ensuring that digital transformation truly benefits society.
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