Government agencies and public sector organisations have a fundamentally different relationship with AI governance than private companies. While private companies must manage business risk, public sector organisations must also maintain public trust, ensure democratic accountability, uphold fairness in service delivery, and protect the rights of citizens who often have no choice but to interact with government systems.
When a private company deploys AI poorly, customers can switch to a competitor. When a government agency deploys AI poorly, citizens may face unfair treatment in essential services with no alternative.
This heightened responsibility demands a more rigorous approach to AI governance.
Singapore is one of the most advanced countries in the world for public sector AI governance:
National AI Strategy 2.0 (NAIS 2.0)
Smart Nation and Digital Government Office (SNDGO)
GovTech AI Governance
Algorithmic Transparency Guidelines
Malaysia is developing its AI governance ecosystem for the public sector:
Malaysia AI Roadmap (MyAIR)
MAMPU (Malaysian Administrative Modernisation and Management Planning Unit)
MyDIGITAL
PDPA (Malaysia)
| Use Case | Potential | Key Governance Concern |
|---|---|---|
| Automated response to citizen enquiries | Faster service, 24/7 availability | Accuracy, accessibility, escalation to human |
| Application processing (permits, licences) | Faster processing times | Fairness, bias, explainability |
| Benefit eligibility assessment | Consistent evaluation | Bias against vulnerable populations |
| Language translation for services | Multilingual access | Accuracy of translations for official content |
| Sentiment analysis of public feedback | Better understanding of citizen needs | Privacy, consent, surveillance concerns |
| Use Case | Potential | Key Governance Concern |
|---|---|---|
| Policy analysis and research | Evidence-based policy | Accuracy, confirmation bias |
| Document drafting and summarisation | Administrative efficiency | Accuracy, official record integrity |
| Budget analysis and forecasting | Better resource allocation | Transparency of AI methodology |
| Procurement analysis | Cost efficiency | Fairness, conflict of interest |
| HR and recruitment | Efficient hiring | Bias, fairness, equal opportunity |
Some AI uses should be restricted or prohibited in the public sector:
Citizens have a right to know when and how AI affects decisions about them.
Requirements:
Clear lines of accountability must exist for every AI deployment.
Requirements:
AI in the public sector must not discriminate or create unfair outcomes.
Requirements:
Government agencies hold vast amounts of citizen data. AI governance must ensure this data is protected.
Requirements:
AI systems must serve all citizens, including vulnerable and underrepresented groups.
Requirements:
When introducing AI in citizen-facing services, communicate proactively:
[AGENCY NAME] Notice on AI Use
[Agency Name] has introduced AI technology to assist with [specific service]. This AI helps us [specific benefit, e.g. process applications faster, answer enquiries 24/7].
What this means for you:
Your rights:
Contact: [Contact details for enquiries and complaints]
When procuring AI systems for government use:
Yes, but with stronger governance than the private sector. AI can improve government service delivery through faster processing, 24/7 availability, and more consistent decisions. However, agencies must ensure transparency, fairness, human oversight, and accessible appeals processes. Citizens who interact with government often have no alternative, making governance safeguards especially important.
Best practice in both Singapore and Malaysia is yes. Citizens should be informed when AI plays a significant role in decisions affecting them, and should have the right to request a human review. Singapore's transparency guidelines and general principles of good governance support proactive disclosure of AI use.
Agencies should: test AI systems for demographic bias before deployment, monitor for disparate impact across groups during operation, conduct regular independent fairness audits, maintain accessible appeals processes, and ensure diverse representation in AI development and governance teams. Special attention should be given to vulnerable populations who may be disproportionately affected.
