Responsible AI Policy Saudi Arabia: What the Draft Means

The responsible AI policy Saudi Arabia is drafting is meant to reach private companies, not only ministries. The Saudi Data and Artificial Intelligence Authority (SDAIA) put the draft out for public comment in April 2026. It is not law yet, but it shows where AI rules for business are heading. For owners and managers in Dammam, Khobar, Riyadh and Jeddah, the practical question is simple: what should we do before the final text arrives? This guide sets out what is confirmed, what is only reported, and what to prepare. It is a business briefing, not legal advice.

Responsible AI policy Saudi Arabia: what SDAIA published

The Saudi Press Agency reported on 2 April 2026 that SDAIA called on the public and on government, private and non-profit entities to send their views on a draft responsible AI policy through Istitlaa, the national platform for public consultations. According to Digital Policy Alert, the consultation opened on 3 April 2026 and closed on 3 May 2026.

SDAIA says the draft takes a preventive approach, based on continuous assessment and effective response, and clarifies roles and responsibilities for everyone involved across the AI lifecycle. Digital Policy Alert records that it applies to all government bodies, the private sector, the non-profit sector and individuals.

What the draft is reported to require

We could not read the full draft text, so the detail below comes from commentary and should be checked against the final policy. Access Partnership, writing on 29 April 2026, describes a shift from high-level principles to a more operational governance model. It reports that the draft sorts AI systems into four levels: critical, high, limited and low risk.

The same firm lists the proposed mechanisms as system registration, AI ethics labelling tied to compliance maturity, audit and assurance for high-risk systems, and a regulatory sandbox. The topics covered include privacy, transparency, safety by design, testing, performance monitoring, data protection, cybersecurity, content moderation, non-discrimination and governance. It does not define the criteria for each risk level or the exact duties attached to each, so those remain open.

Where it stands today

It is a draft. Allainews, in a review current to 13 September 2026, found no adopted text in the official sources it checked, and our own search on 22 October 2026 found none either. Treat everything above as a signal, not a rule.

It also sits beside a tool that is already published. SDAIA launched a national AI risk management framework on 14 July 2026, a common method to identify, assess, treat and monitor AI risks. Access Partnership expects privacy, cybersecurity and AI governance rules to converge, so work you do under the Personal Data Protection Law and National Cybersecurity Authority controls is likely to carry over.

What it could mean for a small or mid-sized company

Most firms buy AI rather than build it: a chatbot on WhatsApp, an invoice reader, a tool that screens CVs. If registration or risk levels arrive, the first question will be which of your tools count as higher risk. A customer-facing assistant that handles personal data, or a system that influences hiring or credit decisions, is more likely to attract scrutiny than an internal tool that drafts meeting notes. That is our reading, not something the draft is confirmed to say.

The firms in the best position will be the ones who can answer three questions quickly: what AI do we use, who owns it, and how do we know it still works. Those answers also help today, whatever the final text says.

A five-step checklist to prepare now

• Build an AI register. List every tool that uses AI, what data it touches, which team uses it and which vendor supplies it.
• Rank each tool by impact. Mark anything that handles personal data, talks to customers or influences decisions about people.
• Name an owner for each higher-impact tool, with a person who can explain how it works and who can switch it off.
• Test and monitor. Write down how you checked the tool before launch, then sample its outputs every month and keep the results.
• Review vendor contracts for data handling, hosting location and the right to see how the tool is tested. Align this with your PDPL and cybersecurity controls.

How Scalor Systems can help

The register and the risk ranking are the hard part, and our AI Architecture Audit does exactly that: it maps your processes and tools and flags where the risk sits. Our AI Knowledge Assistant solution answers staff questions from your approved documents, so people follow policy instead of guessing, and our AI Integration service builds review and logging steps into the workflows you already run. To see how the national method fits your company, read our guide to the SDAIA AI risk management framework. To discuss your own plan, book a free discovery call with Scalor Systems at scalorsystems.com/contact.

Sources

1. Saudi Press Agency: SDAIA Invites Public, Entities to Share Views on Responsible AI Policy Draft (2 April 2026)
2. Digital Policy Alert: Saudi Arabia, Responsible Artificial Intelligence Policy consultation (3 April to 3 May 2026)
3. Access Partnership: Saudi Arabia moves to operationalise responsible AI governance (29 April 2026)
4. Saudi Press Agency: SDAIA Introduces National Framework for Managing AI Risks (14 July 2026)
5. Allainews: Saudi Arabia AI Regulation, 2026 Guide (current to 13 September 2026)