Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
Saudi Arabia's SDAIA AI Ethics Principles (Version 2.0, 2025): seven principles, fairness, privacy and security, humanity, social and environmental benefits, reliability and safety, transparency and explainability, and accountability and responsibility, each turned into controls at the plan and design, prepare input data, build and validate, and deploy and monitor phases of the AI system lifecycle, with a four-tier risk classification, the roles an adopting entity designates, SDAIA's compliance and registration mechanism, and annexed tools and a checklist.
Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) is a compliance framework from Saudi Arabia with 8 domains and 29 controls. The largest domains are Principle 1 Fairness – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls), Principle 2 Privacy and Security – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls), Principle 3 Humanity – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls). Every control below carries what it requires and what an assessor expects to see.
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Framework Domains (8)
Principle 1 Fairness – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::1.BV | Fairness in Build and Validate: fairness-conscious feature choices, champion model within fairness thresholds, causal feature selection and safeguards against discriminatory deployment |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::1.DM | Fairness in Deploy and Monitor: measure outcome fairness, monitor metrics against thresholds and quantify harm and benefit for sensitive groups |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::1.PD | Fairness in Plan and Design: fairness-aware design, harm and benefit analysis, chosen fairness metrics and defined sensitive attributes with thresholds |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::1.PID | Fairness in Prepare Input Data: representative, accurate data of sufficient size, with sensitive attributes and their proxies excluded or justified |
Principle 2 Privacy and Security – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::2.BV | Privacy and Security in Build and Validate: privacy and security by design, protected model architecture, integrity under adversarial conditions, and testing that combined data does not re-identify |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::2.DM | Privacy and Security in Deploy and Monitor: continuous monitoring, revisited privacy and risk assessments, and owner accountability for lifelong protection |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::2.PD | Privacy and Security in Plan and Design: privacy-respecting design, minimal personal data, approved profiling only, security blueprint, applicable standards, data classification and de-identification planning |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::2.PID | Privacy and Security in Prepare Input Data: lawful data handling, confidentiality and delegated authority, integrity and availability, contextual classification with de-identification, and backups |
Principle 3 Humanity – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::3.BV | Humanity in Build and Validate: decision-making aligned with human rights and cultural values, with parameters and training that advance humanity |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::3.DM | Humanity in Deploy and Monitor: periodic assessment against human rights, cultural values and KPIs with corrective measures |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::3.PD | Humanity in Plan and Design: ground the model in fundamental human rights and KSA cultural values and define how it augments human capability |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::3.PID | Humanity in Prepare Input Data: responsible and ethical data management under KSA data regulations |
Principle 4 Social and Environmental Benefits – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::4.BV | Social and Environmental Benefits in Build and Validate: tie results to a recognised social purpose and keep resource and energy use acceptable |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::4.DM | Social and Environmental Benefits in Deploy and Monitor: continuous assessment of human, social, cultural, economic and environmental impact against design objectives |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::4.PD | Social and Environmental Benefits in Plan and Design: design to prevent harm to people and the environment and to address social and ecological issues |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::4.PID | Social and Environmental Benefits in Prepare Input Data: follow data management policies and make social and environmental data publicly accessible with its benefit stated |
Principle 5 Reliability and Safety – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::5.BV | Reliability and Safety in Build and Validate: comprehensive testing methodology, rigorous validation with oversight and integration sign-off, human determination for irreversible decisions, and no social scoring or mass surveillance |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::5.DM | Reliability and Safety in Deploy and Monitor: continuous monitoring of robustness inward and outward, conformity with the designed structure, and prevention of destructive use |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::5.PD | Reliability and Safety in Plan and Design: design for uncertainty, robust operation across inputs, reliability standards, documentation and stakeholder sign-off at critical decisions |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::5.PID | Reliability and Safety in Prepare Input Data: measure data quality, accuracy, suitability and credibility, and prepare stress test data for extreme scenarios |
Principle 6 Transparency and Explainability – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::6.BV | Transparency and Explainability in Build and Validate: transparent algorithms in process and product, explanatory information on request, and AI ethics due diligence on third-party systems |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::6.DM | Transparency and Explainability in Deploy and Monitor: publish performance and impact metrics, log and disclose failures and breaches, and test UI and UX periodically |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::6.PD | Transparency and Explainability in Plan and Design: inform affected stakeholders, give access to understandable rationale, set transparency levels, build an information section and a complaints mechanism |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::6.PID | Transparency and Explainability in Prepare Input Data: document datasets and decision processes for traceability, and assess data accuracy, suitability, validity and source |
Principle 7 Accountability and Responsibility – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::7.BV | Accountability and Responsibility in Build and Validate: owned modelling decisions, assigned responsibilities, quantitative and qualitative justification, and sign-off after validation and user acceptance |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::7.DM | Accountability and Responsibility in Deploy and Monitor: clear responsibility and liability, continuous monitoring with periodic performance reports, and predefined triggers assigned to stakeholders |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::7.PD | Accountability and Responsibility in Plan and Design: attributable responsibility, a governance structure without gaps, supporting instruments and human-controlled design |
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::7.PID | Accountability and Responsibility in Prepare Input Data: data quality checks, approved and signed-off datasets cleansed of societal bias, and documented, validated preparation |
Roles and responsibilities, optional registration and compliance – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)
| Code | Title |
|---|---|
| saudi-arabia-sdaia-ai-ethics-principles-version-2-0-2025::roles | Adopting entities designate the Head of Entity or CDO, a Chief Compliance Officer, a Responsible AI Officer and an AI System Assessor with defined duties, and bind third-party systems contractually |
What is Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) and who does it apply to?
Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) is a compliance framework from Saudi Arabia with 8 domains and 29 controls. Saudi Arabia's SDAIA AI Ethics Principles (Version 2.0, 2025): seven principles, fairness, privacy and security, humanity, social and environmental benefits, reliability and safety, transparency and explainability, and accountability and responsibility, each turned into controls at the plan and design, prepare input data, build and validate, and deploy and monitor phases of the AI system lifecycle, with a four-tier risk classification, the roles an adopting entity designates, SDAIA's compliance and registration mechanism, and annexed tools and a checklist. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) actually require?
Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) has 29 controls organised across 8 domains. The largest domains are Principle 1 Fairness – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls), Principle 2 Privacy and Security – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls), Principle 3 Humanity – Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) (4 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) do I already cover?
Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) does not currently have cross-framework mappings in our system. Check back as we continuously expand our mapping database.
How do I implement Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025)?
Start your Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about Saudi Arabia SDAIA AI Ethics Principles (Version 2.0, 2025) requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 29 controls and track your progress.
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