Reviewing AI-Assisted Course Creation Before Approval in Saudi Arabia

A learning specialist in Riyadh tries AI-assisted course creation for the first time, asking an AI tool for a short course on the company’s travel and expense policy. By the end of the afternoon, she has twelve slides, a narration script, twenty quiz questions, and a set of illustrations. It looks finished. Then the finance manager reads it and stops at slide four: the daily allowance quoted is not the company’s figure, and nobody can say where it came from.

This is the new shape of course creation. Drafting that once took weeks can now take hours, so the bottleneck moves from writing to review. A fluent, well-formatted draft is easy to approve too quickly, and its errors reach employees under the organization’s name.

This article gives HR and digital learning teams in Saudi organizations a practical review for AI-assisted course creation, built around four checks: information, questions, asset rights, and examples. It then sets out who signs off and what to record.

Why AI-Assisted Course Creation Needs Its Own Review Step

In traditional course creation, review happens along the way: the subject-matter expert writes or dictates the content, so errors are caught as the material takes shape. In AI-assisted course creation, the draft arrives complete before any expert has looked at it.

WIPO’s factsheet Generative AI: Navigating Intellectual Property notes that generative AI may produce inappropriate or illegal outputs, including incorrect information, IP infringements, and personal information. Saudi Arabia’s National eLearning Center makes the expectation for AI-assisted course creation explicit. Its E-Learning Standards, which address government, private, and non-profit institutions that provide or support eLearning and training, call for verifying the accuracy of content generated or modified by AI before publishing it, scientifically, linguistically, and culturally, through a documented review mechanism. They also call for an AI governance framework that defines permitted and prohibited AI practices.

Even if your organization falls outside that scope, the standards offer a sound benchmark for AI in training. The checks below do not depend on which tool your team uses for course creation; they apply to any draft that a person did not write line by line.

Check 1: Is Every Statement True for Your Organization?

The first check in any course creation review is factual. Highlight every statement in the draft: numbers, limits, deadlines, policy names, job titles, system steps, and any reference to a law, regulator, or standard. Then verify each one against your organization’s source of truth, such as the current policy, the procedure owner, or the system itself.

A simple fact table keeps this part of course creation manageable. List each statement, the internal source that confirms it, and the name of the person who checked it. Statements that cannot be traced are removed or rewritten, not left in because they sound right. Pay particular attention to:

• General good practice presented as your policy, or another country’s rule presented as a Saudi requirement

• Figures that look precise but have no source

• References or regulations that cannot be found

• Steps that describe a generic system rather than the screens your employees actually use

This is the most time-consuming check in AI-assisted course creation, and it should never be left to the person who wrote the prompt alone.

Check 2: Do the Questions Measure What the Course Teaches?

Assessment questions are where fast course creation can do the most quiet damage. A question can be grammatically perfect and still have two defensible answers, a key that is wrong, or distractors nobody would choose. Review every item for:

• Alignment: does the question test an objective the course actually teaches?

• One correct answer, confirmed by the subject-matter expert, not by the draft’s own answer key

• Plausible distractors based on real mistakes employees make

• No clues, such as the correct option always being the longest

• Feedback that explains why an answer is right or wrong in terms of your policy

Then look at the level of thinking. In any course creation process, recall questions are the easiest to write, so check the mix. Will Thalheimer’s LTEM differentiates between knowledge, decision-making, and task performance. If every question asks employees to recall a definition, rewrite some as short workplace decisions. NeLC’s standards also call for documenting any use of AI in supporting assessment processes, with human review prior to approval. For more on item review, see our guide to reviewing eLearning questions for decision quality.

Check 3: Can You Use Every Asset?

Asset rights are the part of course creation that reviewers most often assume someone else has checked. Build an asset log listing every image, icon, voice track, piece of music, video clip, font, and quoted text, with its origin: generated with an AI tool, licensed stock, produced internally, or supplied by a vendor. Start the log at the beginning of course creation, not the night before launch.

The WIPO factsheet explains why the log matters. License terms differ considerably between AI tools, including on ownership of outputs; it is unclear whether AI-generated content can be protected by IP rights and who would own them; and even unprotected output may be governed by contractual terms. WIPO suggests advising staff against prompts that reference third-party business names, trademarks, copyright works, or specific authors or artists, labeling AI-generated output, keeping records of prompts, and documenting the role of humans in the creation process.

In practice, reject any asset whose origin is unknown, replace images that resemble real brands, logos or identifiable people, and check the license terms of your tools and stock libraries with your legal or IP adviser. NeLC’s standards also expect an intellectual property rights policy that regulates the use, production and sharing of digital content, so note in the course creation file which policy applies to the finished course. If you buy content as well as create it, our article on update costs and reuse rights for training packages in Saudi Arabia covers the related contract questions.

Finally, protect what goes into the tool during course creation as well as what comes out. WIPO warns that confidential information included in prompts may lose its confidentiality, and NeLC’s standards ask that beneficiaries’ data be shared with AI tools only under clear privacy rules. Use fictional names and figures when drafting, never real employee or customer records.

Check 4: Do the Examples Fit Saudi Workplaces?

Examples are where AI-assisted course creation most needs a local eye. A generated draft can easily rely on generic settings: a sales call in an unnamed city, prices in a foreign currency, a holiday or legal concept from another country, or a job role your organization does not have. Such examples are rarely wrong; they simply teach in a setting your employees do not recognize, which weakens the eLearning content.

Review each example and scenario for local fit: Saudi riyals where money appears, realistic job titles and workplaces, names and situations that reflect your workforce respectfully, and Arabic text written for Saudi readers rather than translated word for word. A reviewer who knows the work can usually fix these in minutes, which is why this check belongs in every course creation plan. Where an example depends on a physical task that is hard to describe, a short demonstration may teach it better than any generated illustration; see our guide to producing short demonstration videos for Saudi employee training.

Approval: Who Signs Off on AI-Assisted Course Creation

Split the course creation review among the people best placed to judge each part:

• The subject-matter expert or policy owner approves the information and the answer key

• An assessment reviewer approves the questions and feedback

• The content owner approves the asset log and confirms rights

• A local reviewer approves the examples, tone, and Arabic language

• One named approver releases the course

Keep a one-page approval record with the course: which parts were drafted with AI, what each reviewer changed, the fact table, the asset log, and the version approved. Scale the depth to the risk. A course on safety, money or customer data deserves every check in full; an internal awareness module may need a lighter pass. Either way, the record is what makes your course creation process defensible when someone later asks where a statement came from.

A Hypothetical Example: An Expense Claims Course at a Riyadh Engineering Firm

The following example is hypothetical and is included only to illustrate the method.

An engineering consultancy in Riyadh uses AI-assisted course creation to draft a 20-minute expense claims course for site engineers. The fact table catches three problems: a daily allowance that does not match the finance policy, a claim deadline taken from general practice rather than the company’s rule, and a reference to a receipt requirement that nobody can trace.

The assessment reviewer finds that four of the fifteen questions only test definitions and that one has two correct answers, so she rewrites four items as short site scenarios. The asset log, started on the first day of course creation, shows one generated illustration with a logo-like mark on a vehicle, which is replaced. The local reviewer swaps a hotel bill in a foreign currency for one in Saudi riyals and turns a generic ‘sales trip’ into a site visit in the Eastern Province.

The finance manager signs the information, the head of learning releases the course, and the approval record is filed with version 1.0. The team now treats the review time, not the drafting time, as the real measure of its course creation workload.

Summary

AI-assisted course creation saves drafting time, but it moves responsibility to review. Four checks cover most of the risk: every statement traced to a source of truth, every question tested for accuracy and level, every asset logged with its origin and rights, and every example fitted to Saudi workplaces and your own employees.

Assign each check to the right person and record what was changed and approved. Done this way, faster course creation leads to better courses rather than faster mistakes.

If you want Skillup MENA to help you, click here.