Saudi Arabia pairs a binding data-protection law with a strong ethics-led AI framework under one authority. The Personal Data Protection Law (Royal Decree M/19, amended by M/148) and its Implementing Regulations supply the hard duties - a DPIA that is mandatory for automated decisions, records, a DPO, 72-hour breach notification and controlled transfers. SDAIA, the same regulator, issues the AI Ethics Principles, Generative AI guidelines and an AI Adoption Framework as the governing soft law.
All 12 AI-governance controls we track apply here, graded by how firmly the law requires each one.
Classifying each AI system by risk and running an impact assessment (AIA/FRIA; DPIA where personal data is used). PDPL Article 22 / IR Article 25 DPIA - mandatory for automated decisions.
Governing training/input data: quality, provenance, lawful basis for personal data, minimisation and bias. PDPL lawful-basis and minimisation duties govern AI training data.
Telling people when they deal with AI or AI-generated content; labelling output; chatbot/deepfake disclosure. SDAIA transparency expectations plus Generative AI guidelines on disclosure.
AI-specific security: access to models and training data, protection against prompt injection/model abuse, secrets. PDPL security plus NCA ECC/CCC cybersecurity controls.
Detecting, handling and (where required) reporting AI failures and serious incidents to regulators. PDPL 72-hour breach notification to SDAIA.
A named owner (or committee) accountable for AI, and a written AI policy setting principles, scope and roles. AI governance expected under SDAIA's AI Ethics Principles.
A maintained register of every AI system and use-case: purpose, owner, data used, risk tier and vendor. AI inventory expected to support DPIA and records duties.
Meaningful human oversight, and governance of solely-automated decisions with legal or significant effect on individuals. Human oversight expected; confirm whether a standalone human-review right exists.
Due diligence on AI vendors and general-purpose/foundation models, recorded in model cards and supplier assessments. Vendor and foundation-model diligence expected under processor duties.
An internal policy governing employees' use of generative AI: approved tools, data rules, output review. Staff generative-AI use expected to follow SDAIA Generative AI guidelines.
Keeping the logs, technical documentation and conformity evidence regulators expect. IR Article 31 records support logging and conformity evidence.
Ongoing checks that AI performs as intended and does not degrade, with metrics and a review cadence.
PrivMatrix maps the PDPL duties and SDAIA's AI Ethics and Generative AI guidelines onto your systems, then generates the DPIAs, disclosures and policies that satisfy the Kingdom's one-authority regime.
