Indonesia - National AI Strategy

Overview

The Strategi Nasional Kecerdasan Artifisial Indonesia 2020–2045 (Stranas KA) is a national policy roadmap prepared by the Agency for the Assessment and Application of Technology (BPPT) in 2020 and introduced publicly during Hari Kebangkitan Teknologi Nasional (Hakteknas) in August 2020. The strategy positions AI as a cross‑cutting enabler for Indonesia’s development toward the Indonesia 2045 vision and defines five priority sector clusters (health, bureaucratic reform, education & research, food security, mobility & smart cities). It sets strategic objectives across governance, human resources, infrastructure and data ecosystems, research & innovation, and ethical & safety considerations. The original document and downloadable publication have been circulated by the BPPT/BRIN ecosystem and are hosted on public AI coordination portals; a commonly cited copy is available at AI Innovation / Stranas KA (PDF). Stranas KA is intended as a guiding (non‑binding) national strategy to inform ministries, regional governments, academia, industry and communities on priorities and implementation pathways.

Definitions

Stranas KA uses terminology aligned with international AI policy practice and local technical usage. Core definitions include "kecerdasan artifisial / artificial intelligence" (systems or software that perform tasks considered to require intelligence), "ecosystem" (quadruple helix of government, industry, academia and civil society), "regulatory sandbox" (time‑bounded test environment under supervisory arrangements), and "use case" (sectoral application of AI to deliver public or private value). The document distinguishes between research & development activities, deployment for operational public service, and commercial adoption. It frames risk concepts around safety, fairness, privacy, robustness and resilience to cyber threats.

Governance and Institutional Framework

Stranas KA recommends a coordinated, multi‑stakeholder governance architecture to orchestrate national AI efforts. The strategy advocates for a lead coordinating body (taskforce or secretariat) to drive implementation across ministries and regions, with defined roles for research agencies (BPPT/BRIN), central ministries (e.g., Ministry of Communication and Informatics / Kementerian Komunikasi dan Informatika), planning agencies (Bappenas), sector ministries (e.g., Health, Education, Agriculture, Transportation), and regional governments. It emphasizes the quadruple helix model — government, industry, academia and community — to co‑design use cases, share datasets, and mobilize investment. The strategy notes the need for interoperability and standards, recommends joint funding mechanisms, and suggests creation of working groups on ethics, standards, data governance and talent. It also calls for linkages between national coordination and local implementation units to ensure regional uptake and inclusion.

Key Focus Areas

Stranas KA structures priorities into sector clusters and cross‑cutting enablers. The five highlighted clusters are: (1) Health — accelerating diagnostics, telemedicine, health system optimization and pandemic response; (2) Bureaucratic Reform — automating administrative workflows, improving public services and decision‑support for policy; (3) Education & Research — curriculum development, AI research capacity building and university‑industry collaboration; (4) Food Security — precision agriculture, supply chain optimization, fisheries and maritime monitoring; and (5) Mobility & Smart Cities — traffic optimization, public transport automation, disaster mitigation and urban planning. Cross‑cutting enablers include talent development (education, certifications, competency frameworks), data ecosystems (standards, secure data repositories, synthetic data where needed), computational infrastructure (cloud, HPC), regulatory sandboxes and standards & certification pathways. The strategy stresses ethical considerations — fairness, non‑discrimination, transparency and accountability — and recommends safety testing, validation of AI models, and cybersecurity measures for deployed systems.

Implementation Framework

Implementation in Stranas KA rests on phased actions, pilot projects and scaling mechanisms. The strategy proposes short, medium and long‑term actions: initial pilots (2020–2024) to validate high‑impact use cases; capacity building and standards development (2021–2030); expansion and industrialization (2030–2040); and consolidation toward Indonesia 2045 (2040–2045). Key instruments include public‑private partnerships, dedicated research funding, competency certification, national data and computational infrastructure investments, and regulatory sandboxes for testing high‑impact applications under oversight. The document recommends establishing monitoring dashboards and KPIs and integrating AI plans into ministerial workplans and regional development strategies. It also encourages industry to adopt best practices for transparency and model documentation and proposes support for startups and local vendors to reduce import dependency.

Monitoring and Evaluation

Stranas KA outlines a monitoring & evaluation approach with measurable indicators and periodic reviews. It recommends an implementation secretariat to publish annual progress reports and maintain a public dashboard tracking KPIs such as numbers of trained professionals, deployed pilots across priority sectors, research outputs, dataset availability, and infrastructure capacity (compute & storage). The strategy calls for mid‑term reviews every 3–5 years to revisit priorities and update roadmaps in response to technological change. It also suggests external peer review (including international partners) and stakeholder consultations to ensure transparency and adaptive management.

Penalties, Liability, and Appeals

As a strategic (soft‑law) document, Stranas KA does not itself create binding penalties or formal liability rules. Instead, it recommends that implementing agencies and future sectoral regulations define liability, redress and appeals procedures for AI systems — particularly in high‑impact domains like health and public services. The strategy advocates legal clarity on accountability chains (developer, deployer, operator), mechanisms for user redress, and establishing standards for documentation and audit trails to enable investigations. It also proposes that sandboxes and piloting frameworks specify liability allocation while longer‑term statutory or regulatory measures are developed.

Relationship to Other Instruments

Stranas KA is positioned as a cross‑cutting national policy that complements existing laws and digital governance instruments. It explicitly references the need to align with Indonesia’s electronic systems governance (e.g., Presidential Regulation on Electronic-Based Government / SPBE frameworks), sectoral regulations (health, transport, agriculture), and emerging data protection rules such as the Personal Data Protection law. The strategy is intended to inform future regulatory instruments (ministerial rules, presidential regulations) and to be integrated into planning documents (Bappenas medium‑term plans) and agency digital transformation roadmaps.

International Alignment

The strategy recommends aligning Indonesia’s AI governance with international norms and standards and participating in multilateral dialogues. It highlights collaboration with UNESCO on Readiness Assessment Methodology (RAM) and notes the importance of OECD, ASEAN and other international guidance on AI ethics, safety and risk management. Stranas KA encourages international research partnerships, adherence to globally accepted best practices for transparency and model documentation, and harmonization of technical standards to facilitate trade and interoperability.

Implementation Timeline

Sources and References