Generative Artificial Intelligence Guidelines for Public
Generative Artificial Intelligence Guidelines For Public
This document published by the Saudi Data and Artificial Intelligence Authority provides comprehensive guidance for the public, developers, and users in the Kingdom of Saudi Arabia regarding the responsible development and use of generative artificial intelligence. It outlines the benefits of GenAI across various sectors, establishes core ethical principles such as fairness, reliability, transparency, and privacy, and identifies major risks including deepfakes, safety threats, hallucinations, and data breaches along with corresponding mitigation measures.
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 the general public, developers, and users in Saudi Arabia to ensure the responsible and effective use of generative AI.
What the document contains
The document addresses the definition, scope, benefits, ethical principles, and identified risks with respective mitigations for generative artificial intelligence. It covers operational safeguards such as watermarking, KYC protocols for cloud providers, content moderation, training dataset filtering, and compliance with data protection laws.
Specific legal penalties for non-compliance and detailed technical specifications for proprietary software are not provided within the text.
- The guidelines apply to all stakeholders designing, developing, deploying, or using generative AI systems within the Kingdom of Saudi Arabia.
- GenAI offers significant benefits such as increased efficiency, improved communication, informed decision-making, enhanced accessibility, and elevated public service quality.
- Stakeholders must consistently adhere to seven core AI ethics principles: Fairness, Reliability & Safety, Transparency & Explainability, Accountability & Responsibility, Privacy & Security, Humanity, and Social & Environmental Benefits.
- Key risks like deepfakes, safety threats, misinformation, classified data breaches, certification fraud, and IP infringement require proactive technical and organizational mitigations.
- Users and organizations are responsible for verifying AI outputs, protecting sensitive data, and complying with relevant legislation such as the Personal Data Protection Law.
· Introduction · 1. Definitions · 2. Scope of this Document · 3. Benefits of Generative AI · 4. Principles of Generative AI · 5. Generative AI Risks & potential Mitigations
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
Holds designers, vendors, procurers, developers, owners, and assessors of GenAI systems ethically responsible and liable for the decisions/actions that may negatively affect individuals and/or communities.
4.4 Accountability & Responsibility
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Carefully test GenAI models to insure no bias has been embedded in the codes or algorithms and Ensure that the data used to train the tool are cleansed from bias and is representative of affected minority groups.
4.1 Fairness
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
Predefined triggers/alerts should be in place based on system risks, GenAI systems should trigger human oversight.
4.2 Reliability & Safety
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
Privacy and security by design should be implemented while building the AI system. The security mechanisms should include the protection of various architectural dimensions of an AI model from malicious attacks
4.5 Privacy & Security
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Adhere to relevant legislation, such as Personal Data Protection Law, Intellectual Property Laws to ensure compliance and protect user rights.
4.4 Accountability & Responsibility
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
The privacy impact assessment and risk management assessment should be continuously revisited to ensure that societal and ethical considerations are regularly evaluated
4.5 Privacy & Security
screening score · 2026-10-23