Indonesia to Finalize AI Regulation and National Roadmap This Month
Indonesia is nearing a Presidential Regulation on AI, setting a national roadmap and ethics by Sep 2025. Prepare now for risk controls, governance duties, and sector priorities.
Indonesia to Finalize AI Presidential Regulation and National Roadmap This Month
Indonesia is in the final stretch of issuing a Presidential Regulation on artificial intelligence. The Ministry of Communication and Digital has submitted the initiative permit to the Ministry of State Secretariat, with completion targeted for September 2025.
The regulation will set a national AI roadmap and ethical guidelines to drive responsible adoption. It will also set expectations for risk mitigation and governance for both public and private implementations.
What the Presidential Regulation Is Expected to Cover
- National AI roadmap with adoption principles for ministries and agencies.
- Ethical guidelines that reinforce existing rules, including Circular No. 9 of 2023.
- Governance requirements to manage risks across data, models, and deployment.
- Sector implementation priorities: transportation, healthcare, education, and finance.
- References to the ITE Law and the Personal Data Protection (PDP) Law for legal alignment.
Timeline and Process
- Initial draft completed: July 2025.
- Public consultation: August 2025 (closed on August 22).
- Harmonization: Ministry of Law and Human Rights and the Ministry of State Secretariat.
- Finalization target: September 2025.
The work draws on the AI Policy Dialogue Country Report developed with the United Kingdom and includes input from stakeholders such as JICA and Boston Consulting Group.
Why This Matters for Government, IT, and Development Teams
Expect clearer obligations for AI projects, stronger privacy controls, and defined accountability for outcomes. Procurement, model development, and data operations will need to prove compliance from design to deployment.
If you run digital services, lead engineering teams, or manage vendors, prepare now. Map your AI use, document risk controls, and align policies with PDP and ITE requirements.
Action Checklist (Start Now)
- Inventory all AI use cases, models, datasets, and vendors across your organization.
- Update data governance to meet PDP Law: consent, purpose limitation, retention, and deletion.
- Set up AI risk assessments for new and existing systems, including bias and safety testing.
- Document models: training data sources, testing results, limitations, and human oversight plans.
- Establish incident reporting for model failures, security issues, and misuse.
- Review contracts: require transparency, audit rights, security, and compliance from AI vendors.
- Implement human-in-the-loop for high-impact decisions (healthcare, finance, education, transport).
- Strengthen security: model and data access controls, logging, and red-teaming for LLM misuse.
- Prepare content provenance and disclosure for AI-generated outputs where applicable.
- Train teams on ethics, privacy, and responsible AI development practices.
Sector Notes
- Transportation: prioritize safety cases, real-world testing, and clear fallback procedures.
- Healthcare: protect clinical data, ensure explainability, and maintain clinician oversight.
- Education: keep learner data private, avoid profiling risks, and disclose AI assistance.
- Finance: tighten model risk management, AML alignment, and auditability of decisions.
Who's Involved
- Ministry of Communication and Digital (lead), with the Ministry of Law and Human Rights and the Ministry of State Secretariat on harmonization.
- International and advisory partners: Japan International Cooperation Agency (JICA) and Boston Consulting Group (BCG).
- Policy reference: AI Policy Dialogue Country Report with the UK.
Resources
Upskill Your Team
If you need fast, practical training on AI governance, risk, and applied development for your role, explore structured learning paths and certifications.
Bottom line: the AI regulation and national roadmap are almost here. Treat compliance as a product feature-build it into design, development, and operations now so you can deploy with confidence once the rules land.
