AI in Government Work: 5 Safe Use Cases and the Controls They Need

A digital representation of artificial intelligence
Nevada Academic Team Last reviewed: 9 November 2026 4 min read اقرأ بالعربية
Key takeaways
  • The UAE and Saudi Arabia have clear AI governance frameworks, including the UAE Charter for the Development and Use of AI (2024) and SDAIA's Generative AI Guidelines for Government (2024).
  • The safest uses involve public or non-confidential information, with outputs reviewed by a person.
  • The golden rule: no confidential or personal data in public tools, and no decision affecting a customer without review by an accountable person.

This article is for professional awareness. Follow your entity's policies and the circulars of competent authorities in each country on the use of AI tools.

Generative AI tools are now within every employee’s reach. In government entities the question is no longer whether to use them, but how to use them without putting data or public trust at risk. This article proposes five low-risk use cases to start with and six controls to govern them.

Which frameworks govern AI in the Gulf?

Gulf states were among the first to set AI governance frameworks. Key instruments include:

In the UAE:

  • The National Strategy for Artificial Intelligence 2031, launched in 2017.
  • AI Ethics Principles and Guidelines, issued in December 2022.
  • The Charter for the Development and Use of AI, issued in June 2024 with 12 principles.

In Saudi Arabia:

  • The AI Ethics Principles from the Saudi Data and AI Authority (SDAIA), issued in September 2023.
  • Generative AI Guidelines for Government and for the Public, issued in January 2024 to promote responsible use of these tools in government transactions.
  • The National AI Risk Management Framework, issued in April 2026, built on seven ethics principles and a five-phase risk process.

What these frameworks share is clear: transparency, privacy protection, accountability, human oversight and fairness.

Safe use starts with the employee's judgement, not the tool
Safe use starts with the employee's judgement, not the tool

Five safe use cases to start with

Five safe use cases in government work
  1. 1Drafting and summarisingNon-confidential drafts and reports
  2. 2Answering enquiriesFrom an approved knowledge base
  3. 3Open data analysisPublic or anonymised data
  4. 4TranslationContent published to the public
  5. 5Internal knowledge searchGuides and policies
Low-risk use cases to start with, provided the controls are applied.

1. Drafting and summarising

First drafts of reports, letters or meeting minutes, and summaries of long documents. This saves real time, provided the material is not confidential and the employee reviews the output before approving it.

2. Answering frequent enquiries

An assistant that answers customers from an approved knowledge base: procedures, fees and required documents. It must answer from the entity’s approved content rather than general knowledge, and pass unclear cases to an employee.

3. Open data analysis

Finding trends in public or anonymised data, such as transaction volumes, peak times and survey results. Results here inform decisions; they are not the decision.

4. Translation

Translating content published to the public, such as guides and announcements, with human language review before publication, especially for legal terms.

5. Internal knowledge search

An assistant that searches the entity’s guides and policies and answers staff questions about procedures. This needs an approved internal tool, because internal documents may not be meant for publication.

The six controls

Six controls for every use
Data
  • Classify data before use
  • No confidential or personal data in public tools
People
  • Human review before anything is issued
  • A named owner for every use
Trust
  • Tell customers when a system is automated
  • Document approved uses and tools
Six controls drawn from principles shared across Gulf AI governance frameworks.
  1. Classify data before use. Every entity has a data classification: public, restricted, confidential. Use starts there.
  2. No confidential or personal data in public tools. Customer names, ID numbers and internal files do not go into tools the entity has not approved.
  3. Human review before anything is issued. AI tools can produce convincing but wrong information, and the employee who approves the text is responsible for it.
  4. A named owner for every use. Who decides to use the tool, and who monitors the quality of its output.
  5. Transparency with customers. When customers deal with an automated system, they should know it.
  6. Documentation. A list of approved tools and permitted uses, updated whenever tools or frameworks change.

Which uses need more caution?

Any use that directly affects a customer’s rights needs a risk assessment before it starts, such as screening applications, assessing eligibility or detecting violations. These decisions can carry bias or error, and an accountable person must keep the final decision. Saudi Arabia’s AI risk management framework offers a suitable method: define the context, identify risks, assess them, treat them, and monitor.

How should an entity start?

Start small: one low-risk use in one department, with an approved tool and written controls. Measure time saved and output quality for three months, then expand. Train staff on the controls before the tools, because most risk comes from unaware use rather than from the tool itself.

Conclusion

AI gives government entities real gains in time and quality, as long as people stay accountable and data stays protected. Start with the five safe uses, apply the six controls, and expand step by step.

Frequently asked questions

May employees use public AI tools at work?

It depends on their entity's policy. As a general rule, confidential or personal data should never be entered, and approved tools should be used where available.

Who is responsible for an error in text written by AI?

The employee who approved the text and the entity that issued it. The tool carries no responsibility, which is why human review is essential.

What is Saudi Arabia's latest framework in this area?

In April 2026 SDAIA issued the National AI Risk Management Framework, built on seven ethics principles and a five-phase risk process.

Should customers be told when a reply comes from AI?

Transparency is a shared principle in Gulf and international frameworks, and customers should know when they are dealing with an automated system.

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