Artificial Intelligence in Qatar – Principles and Guidelines for Ethical Development and Deployment
This document sets out principles and guidelines for the ethical development and deployment of artificial intelligence in Qatar, aligned with the Qatar National Vision 2030 and international standards. It provides voluntary guidance for developers and deployers across eight core principles, ranging from safety and human-centered design to environmental protection and human accountability. The guidelines aim to balance economic innovation with the protection of Qatari cultural, religious, and social values.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for AI developers, deployers, and public sector organizations operating or seeking to operate in Qatar.
What the document contains
The document covers principles and guidelines for ethical AI development and deployment, focusing on risk assessment, robustness, bias prevention, environmental sustainability, privacy, transparency, human-centered design, and human accountability.
The document does not provide legally binding obligations, statutory enforcement mechanisms, or formal regulatory penalties for non-compliance, as adherence is voluntary.
- The guidelines are legally non-binding and voluntary, intended to be tailored by organizations to their specific operating contexts.
- AI systems developed or deployed in Qatar must adhere to eight core ethical principles aligned with the Qatar National Vision 2030.
- Developers and deployers are expected to conduct comprehensive risk assessments and maintain system robustness, safety, and data security.
- AI systems must respect Qatari cultural, religious, and social values, avoiding bias and discrimination while safeguarding personal privacy.
- Ultimate accountability for AI systems and their outcomes must remain with humans, ensuring human intervention and oversight in significant decisions.
· Overview · Scope of this document · Introduction · The guidelines for ethical development and deployment of AI - Principle 1—"Do no harm" - Principle 2—Ensure system robustness, security, and safety - Principle 3—Avoid perpetuating bias and discrimination - Principle 4—Protect the environment - Principle 5—Safeguard privacy - Principle 6—Promote transparency - Principle 7—Develop a human-centered approach - Principle 8—Assign ultimate accountability to humans · Summary
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Developers, designers, and deployers share accountability for the outcomes of AI systems. Each party must understand and acknowledge its role in the system's development and deployment
Principle 8
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Discrimination impact assessments are conducted to ensure the fairness of AI systems.
Principle 3
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
Fostering an ethical approach to the development of AI in Qatar is essential to ensure that the deployment of new technologies aligns with local values, respects cultural norms, and contributes positively to societal and economic development.
Introduction
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
AI systems should not be able to autonomously make decisions of significant consequence. Instead, these systems should allow for human intervention and provide users with the ability to appeal or override decisions
Principle 8
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
organizations developing and deploying AI in Qatar should establish protocols for accessing data and assign data protection officers to identify who can access what data.
Principle 5
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Information should be provided to users of AI systems about how these systems work, including the data ingested, algorithms employed, and features driving the outputs.
Principle 6
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Failure to safeguard privacy erodes public trust in AI and may have legal repercussions, and fines may be associated with data breaches.
Principle 5
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Before deploying any AI system, comprehensive evaluations should be conducted to identify its potential risks, including those that could result from accidental and/or malicious use of the system.
Principle 1
screening score · 2026-10-23