All Compliances
KSA AI Ethics Framework Overview
The KSA AI Ethics Principles Framework published by the Saudi Data and Artificial Intelligence Authority (SDAIA).
The framework also applies in the Kingdom of Saudi Arabia (KSA), and its issuing body is SDAIA, which is in charge of national governance in data and artificial intelligence in the country and is responsible for creating, updating, and monitoring national principles on KSA AI ethics.
Furthermore, this framework will apply to all stakeholders in AI systems in KSA who may be engaged in developing, designing, or using/operating AI systems in KSA or any other country in any capacity, whether in private firms, non-profit organizations, among others.
Why This Framework Matters
Furthermore, a risk perspective suggests that AI may offer efficiency and innovation but also risks and dangers such as decisions based on bias, data breaches, reputational injury, and regulatory sanctions. The framework here is meant to offer structured advice on how to manage risks early on in AI development.
To help organizations:
- Establish customer and public trust in AI-based
- Reduce legal and compliance
- Avoid harm from unfair, unsafe, or opaque AI decision-making
- Maintain competitiveness through adherence to national AI
In the context of businesses that operate in Saudi Arabia, the importance of complying with regulations is critical for ensuring the safe usage of AI systems, as well as preventing disruptions that can arise from the intervention of regulations
Key Areas Covered by the Framework (Regulatory highlights)
The framework offers seven basic ethical principles for KSA AI ethics that are incorporated throughout the lifecycle process:
- Fairness – The AI system should not discriminate against any group or individual and ensure fairness.
- Privacy & Security – AI systems must protect data, prevent misuse, and provide robust
- Humanity – AI has to respect human rights and cultural values and not exploit or manipulate humans.
- Social & Environmental Benefit – AI should contribute positively to society and
- Reliability & Safety – AI systems must function accurately, consistently, and without causing harm.
- Transparency & Explainability – AI decisions should be traceable, auditable, and understandable to affected users.
- Accountability & Responsibility – Clear responsibility must exist for AI outcomes, with human oversight throughout the lifecycle.
The framework also classifies AI systems into risk levels:
- Little or no risk
- Limited risk
- High risk (requires conformity assessments)
- Unacceptable risk (prohibited AI uses)
Governance, Documentation & Controls
- Purpose: For compliance teams or auditors
As a means to ensure the process is accountable, the framework also sets the requirement for organizations to have governance mechanisms that are
Required Policies and Assessments
- AI Ethics Plans in each adopting
- Fairness Assessments and Impact Evaluations
- Privacy and security standards
- Risk mitigation and disaster recovery
- Ethical impact assessments for AI
Documentation Expectations
- Data sourcing, classification, and cleansing
- Development and validation of model
- Decision rationale and algorithm explainability
- Timeline of approvals by various stakeholders during different phases of a project’s
- Logs regarding system failures or breaches in
Audit and Record-Keeping
- AI System Assessors carry out audits on a periodic
- Continuous Compliance Monitoring by
- Audit reports covering AI development and
- Demonstrated internal and external
Reporting and Notification
- Annual AI Ethics reports approved by entity
- Reporting of incidents, breaches or harmful
- Notification to SDAIA in cases with unresolved ethics and compliance
This configuration guarantees traceability and accountability and the ability to be assessed.
How Our Platform Enables Compliance
The framework empowers entities with the necessary tools and platforms to achieve seamless compliance:
Assigns clear owners for every framework requirement
Real-time dashboards for quarterly reviews
Single repository for all audit-ready compliance evidence
Relevant compliance controls based on lifecycle stage (ideation, in-development, deployment)
Penalties & Liability Exposure
This is a principles-based AI governance framework. It does not establish any crimes or illegal acts. It does not impose any punishments, fines, or imprisonment. There is no enforcement body or judicial process established in the document. The tone of the document is advisory, with a focus on best practices. The document itself does not impose any direct legal responsibility for non-compliance. Liability can be incurred only under other binding laws and not under this document. Therefore, it is non-binding without any penalty provisions.
Who Should Pay Attention
It is pertinent to the framework:
- Government agencies deploying AI into public
- Private companies that use AI to make decisions pertaining to
- Those who develop AI and technology
- Compliance, risk, and audit teams
- Researchers and academic institutions
- Any organisation that handles private or sensitive
In other words, whoever develops or deploys AI on Saudi Arabia’s territory has to reckon with this code of ethics.
Update & Implementation Status
SDAIA updates the framework periodically to reflect the evolving AI technologies, regulations, and societal needs. Additionally, it:
- Issues supporting guidance
- Advisory support for adopting
- Conducts the measurement of compliance and
Entities may also choose to voluntarily register and obtain badges for compliance to reflect their conformity with national standards on KSA AI ethics.