Can You Use AI for
Dissertation Writing in UAE?
(2026 Guide)
A policy-first guide for postgraduate and MBA students at UAEU, Khalifa University, AUD, Zayed University, and BUiD — covering what is permitted, what triggers Turnitin AI detection, and how to protect your academic standing in 2026.
UAE universities have moved fast on generative AI governance. What was a grey area in 2023 is now a documented policy landscape with real misconduct consequences. This guide clarifies exactly where the line sits, what Turnitin's AI Writing Indicator actually measures, and how to use AI tools without putting your degree at risk.
decoded for students
use cases mapped
differences explained
work is flagged
What UAE Students Must Understand About AI and Dissertations in 2026
The question is no longer whether AI exists in academic life — it does, and students at every UAE university are using it in some form. The question in 2026 is which uses are permitted, which carry risk, and which constitute misconduct under UAE Ministry of Education guidelines and your institution's specific policies. The answers are more nuanced than most students realise — and more consequential than most expect.
AI tools are partially permitted for dissertation work at UAE universities in 2026. Using AI for brainstorming, topic ideation, grammar checking, and structural outlining is generally acceptable. Using AI to draft paragraphs, generate literature review content, paraphrase text to reduce Turnitin scores, or produce data analysis narratives constitutes academic misconduct at most UAE institutions — and Turnitin's AI Writing Indicator is now actively used to detect it.
The UAE Ministry of Education and Commission for Academic Accreditation have issued guidance on generative AI in academic settings. Individual universities have built on these frameworks with their own institutional policies, which vary in specificity and enforcement across UAEU, Khalifa, AUD, and Zayed University.
Turnitin's AI Writing Indicator is now deployed across multiple UAE university submission portals. It operates separately from the similarity score and specifically identifies text patterns consistent with large language model generation — including ChatGPT, Gemini, and similar tools.
There is no single UAE-wide AI policy for dissertations. UAEU, Khalifa University, AUD, Zayed University, and BUiD each maintain distinct rules on AI use in research. Assuming your institution follows another university's policy is one of the most common and avoidable mistakes students make.
Non-native English speakers writing formal academic prose are disproportionately flagged by Turnitin's AI Writing Indicator. Uniform sentence structure, consistent vocabulary patterns, and grammatically precise text — hallmarks of disciplined ESL academic writing — can produce AI scores that misrepresent genuinely original work.
Topic brainstorming, chapter outlining, grammar and clarity checking (Grammarly, Paperpal), literature search ideation, language polishing with human oversight, and paraphrasing your own original sentences for fluency.
Using AI to summarise academic papers, generating a rough first draft that you substantially rewrite by hand, and AI-assisted translations for bilingual students. Outcome depends on institutional policy and disclosure requirements.
Drafting dissertation chapters with AI and submitting as original work, using Quillbot or similar tools to paraphrase text specifically to lower Turnitin scores, generating AI citations that fabricate Scopus sources, and using AI to produce data analysis narratives.
Critical Misconception: Many UAE students believe that if their AI-generated text passes a plagiarism check, it is safe to submit. This is incorrect. Turnitin's AI Writing Indicator operates independently of similarity scoring. A dissertation can show 3% similarity and still receive a high AI detection flag — both scores are reviewed separately by academic integrity committees at UAE institutions.
How UAE Universities Govern AI Use in Dissertations — The 2026 Policy Landscape
UAE universities have moved from informal guidance to structured policy in the space of two academic cycles. What each institution permits — and how it enforces those boundaries — varies significantly. Understanding the specific framework your university operates under is not optional. It is the single most important piece of research you should do before writing a single word of your dissertation.
How UAE Universities Differ on AI Policy in 2026
The table below reflects the current policy positions of the five most commonly attended postgraduate institutions in the UAE. Policy details evolve — always verify with your programme handbook or supervisor before submission.
| University | AI Use Permitted | Disclosure Required | Turnitin AI Check | Policy Stance |
|---|---|---|---|---|
| UAEU | Brainstorming & grammar tools only | Yes — must be declared | Active at all stages | Moderate — Strict |
| Khalifa University | Restricted — supervisor approval required | Yes — mandatory declaration | Active — threshold enforced | Strict |
| AUD | Permitted for ideation with disclosure | Yes — footnote or appendix | Active at submission | Moderate |
| Zayed University | Allowed for grammar, structure & ideation | Recommended, not always mandatory | Active — reviewed case-by-case | Moderate — Flexible |
| BUiD | Permitted with explicit supervisor sign-off | Yes — methodology section | Active at final submission | Moderate — Strict |
Does AI Policy Change Between Proposals and Final Submissions?
Yes — and this distinction matters more than most students realise. Several UAE institutions apply stricter AI scrutiny at the proposal stage than at later chapters, because the proposal establishes originality of thought before research has begun. At UAEU and Khalifa University, a proposal flagged for AI-generated content creates an academic integrity record that follows the student through the entire program.
Final dissertation chapters typically receive both similarity and AI checks simultaneously. Some institutions — particularly those with research-intensive programs — also conduct manual review of chapters where AI flags appear alongside low similarity scores. This combination is increasingly used to identify students who have used AI to generate original-sounding but unresearched content. Full guidance on structuring your UAE dissertation proposal compliantly is available in our dedicated guide.
Turnitin in 2026: Similarity Score vs. AI Writing Indicator
This is the most misunderstood technical distinction in UAE academic integrity discussions. Many students believe that a low Turnitin similarity percentage means their submission is safe. It does not. Turnitin now generates two independent assessments that are reviewed separately by academic integrity committees.
Measures how much of your submitted text matches existing sources in Turnitin's database. Expressed as a percentage. UAE universities typically require this to remain below 15–20% for dissertations, though thresholds vary by institution and faculty. A low score here confirms originality of phrasing — not originality of authorship.
Measures the probability that submitted text was generated by a large language model such as ChatGPT or Gemini. Expressed as a percentage of text flagged. Operates entirely independently of the similarity score. A document can show 5% similarity and 74% AI detection simultaneously — both scores reach the academic integrity committee.
What Is an Acceptable Turnitin AI Percentage at UAE Universities?
No UAE university has published a single universal AI detection threshold equivalent to similarity score limits. This reflects the early-stage nature of AI governance policy and the limitations of current detection technology. In practice, academic integrity committees at UAEU, Khalifa, and AUD treat AI flags as grounds for investigation rather than automatic failure — but the investigation process itself carries serious academic consequences regardless of outcome.
The practical guidance from supervisors across multiple UAE institutions converges on one point: any AI detection flag above 20% is treated as requiring explanation. Flags above 40% on continuous sections of text typically trigger a formal academic integrity review. For ESL students whose writing patterns may produce false positives, the ability to demonstrate authentic authorship through drafts, notes, and supervisor correspondence becomes the critical defence mechanism.
Turnitin's AI Writing Indicator was trained primarily on text produced by native English speakers in informal and semi-formal contexts. Formal academic writing by highly proficient non-native speakers — which is grammatically precise, lexically consistent, and structurally disciplined — shares surface-level statistical properties with AI-generated text.
This creates a documented false positive risk for UAE students writing in English as a second or third language. Students from Arabic, Urdu, Hindi, or Tagalog language backgrounds who write formal academic English with high grammatical consistency are among the most commonly flagged groups in UAE submission pools.
The defence strategy: Maintain a complete drafting record — timestamped documents, supervisor feedback emails, handwritten notes, and library visit records. These constitute evidence of authentic authorship that an academic integrity committee will weigh against a Turnitin AI flag. Our academic integrity editing service specifically assists students in building this documentation trail while reducing unnecessary AI detection risk in their submitted text.
The AI-Safe Dissertation Framework: Chapter by Chapter
The most practical way to navigate UAE university AI policies is to think chapter by chapter rather than at the dissertation level as a whole. AI risk is not uniform across a dissertation — it varies significantly depending on what each chapter requires of the student intellectually and evidentially. The framework below maps permitted and prohibited AI use across each major dissertation chapter, based on the policy positions of the five UAE institutions covered in this guide.
Chapter-by-Chapter AI Use Map
Use this map as a working reference before drafting each chapter. Where the verdict is yellow or red, default to human-authored text with ethical editorial support only.
Using AI to brainstorm problem framing angles, identify potential research gaps to then verify manually, and check grammar of your own drafted text.
Having AI draft your problem statement or research objectives. This is the most scrutinised chapter for AI detection because it establishes your original intellectual contribution.
Using AI to suggest search terms for Scopus or Web of Science, organise themes you have already identified from reading, and check sentence clarity on text you have written.
Using AI to summarise papers, generate citations, write thematic analysis paragraphs, or populate the review with sources you have not personally read. AI-generated literature reviews frequently contain fabricated Scopus references.
Using AI to explain statistical concepts for your own understanding, check that your methodology description is clearly articulated, and identify gaps in your instrument design for you to address manually.
Having AI write your methodology justification, design your research instrument, or produce your sampling rationale. Supervisors cross-check methodology chapters against your declared research skills and program level.
Using human expert support for SPSS, NVivo, or Excel analysis where the student provides the data and reviews all outputs. Ethical data analysis support that tutors the student through the process is CAA-compliant.
Using AI tools to generate SPSS output narratives, fabricate data trends, or produce discussion of results you have not personally analysed. This chapter has zero tolerance for AI drafting at Khalifa University and UAEU.
Using AI to check that your conclusions logically follow from your results, identify whether your implications are clearly expressed, and refine academic language in text you have already written yourself.
Having AI generate your theoretical implications, write your recommendations, or produce your reflection on study limitations. These sections test the student's own intellectual synthesis of the research.
The AI-Safe Dissertation Workflow — Step by Step
The following workflow is designed for UAE postgraduate and MBA students who want to use AI tools where genuinely permitted, while protecting their academic standing at every stage. Follow each step in sequence before moving to the next chapter.
- Lock In Your Institution’s Specific AI Policy
Before writing anything, locate your programme handbook or graduate studies policy document and identify the exact language on generative AI. Note whether disclosure is required, what tools are named, and whether your supervisor must sign off on AI-assisted sections. Do not rely on what a classmate tells you their supervisor said.
Output: Written policy reference saved - Use AI Only for Ideation & Scopus Search Support
At the topic and proposal stage, AI tools may be used to generate research angle ideas, suggest related keywords for your Scopus gap search, and outline potential chapter structures. All outputs must be verified, restructured, and written in your own words before any text is included in a submitted document.
Output: Topic confirmed, Scopus gap evidenced - Draft Every Chapter in Your Own Voice First
Write your first draft entirely without AI assistance. It does not need to be polished — it needs to be yours. A rough, genuinely authored draft is your most important protection against any academic integrity investigation. Timestamped documents, version histories, and supervisor-reviewed drafts constitute the evidence trail that defends authentic authorship.
Output: Timestamped first draft per chapter - Apply Ethical Editing — Not AI Rewriting
Once your draft exists, you may use grammar tools (Grammarly, Paperpal) to check clarity and flow — these are generally permitted and do not trigger AI detection. Do not use AI tools to rewrite full paragraphs, even if the underlying ideas are yours. Rewriting by AI produces exactly the language patterns Turnitin's Writing Indicator is trained to detect.
Output: Polished draft, AI-detection safe - Run a Pre-Submission Check — Both Scores
Before formal submission, use your institution’s Turnitin draft submission feature (where available) to check both your similarity score and AI Writing Indicator. If your AI score appears unexpectedly high on genuinely authored text, do not paraphrase it using AI tools. Instead, seek ethical editorial support to naturally vary sentence structure and vocabulary in your own voice.
Output: Both Turnitin scores within acceptable range
Why AI Cannot Replace Human Data Analysis in UAE Dissertations
AI tools cannot run SPSS regression, conduct NVivo thematic coding, or produce statistically valid outputs from your raw dataset. Tools that claim to do so either fabricate outputs or produce results that cannot be defended in a viva examination. Your data analysis chapter must be reproducible — meaning a supervisor or examiner can re-run your analysis and reach the same result.
What is permitted — and what several UAE supervisors actively encourage for working professionals — is seeking ethical human expert support for data analysis. A qualified statistician who runs SPSS on your actual dataset, explains the outputs to you, and tutors you through the interpretation process is providing legitimate academic support. This is categorically different from AI-generated data narratives, and it is the approach Labeeb provides across its data analysis support service.
Referencing and Formatting: The AI Hallucination Risk
AI citation generators are among the most dangerous tools UAE dissertation students use, precisely because their outputs look authoritative while being systematically unreliable. The following reference types are routinely mishandled by AI tools.
AI tools frequently generate plausible-looking journal article citations that do not exist in Scopus or any indexed database. Supervisors who verify references — and many do — will identify fabricated citations immediately, triggering an academic integrity review.
✖ Never use AI to generate reference listsAI tools apply general APA or Harvard rules but routinely fail on UAE university-specific formatting requirements — including how to cite UAE government reports, ADGM regulatory documents, and Arabic-language sources. Manual verification against your institution’s style guide is always required.
✖ Always verify format against your handbookReferences to UAE Vision 2031 documents, CAA accreditation reports, and federal ministry publications require specific citation formats that AI tools do not reliably apply. These sources are frequently cited in UAE dissertations and are easily checked by supervisors.
✖ Format manually from official portalsReference management tools that pull metadata directly from Scopus, Google Scholar, or institutional databases produce significantly more reliable citations than AI generation. Both Zotero and Mendeley are free, widely used across UAE universities, and produce APA 7th and Harvard output with a high degree of accuracy.
✔ Use for all citation managementWhat to Do — and What to Avoid — When Using AI in Your UAE Dissertation
Policy awareness is necessary but insufficient. What separates students who navigate the 2026 AI landscape without incident from those who face academic integrity investigations is a set of consistent, practical habits applied from the first day of writing to the final submission check. The following tips are drawn from the most common failure patterns seen across UAE postgraduate programs this academic cycle.
8 Practical Tips for Staying Compliant in 2026
Apply these in sequence throughout your dissertation journey — not just at submission. Prevention is significantly less costly than recovery.
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Read Your University’s AI Policy Before Writing Anything
Download or screenshot the exact AI policy from your programme handbook and save it. Policies at UAEU, Khalifa, and AUD were updated in the 2025–2026 academic year. What applied to a student who graduated two years ago may not apply to you. Your policy is the one in your current programme handbook — not a general internet search result.
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Ask Your Supervisor Directly — In Writing
Send your supervisor a specific email asking which AI tools are permitted, whether disclosure is required, and at which stages. A written response creates a defensible record. Verbal assurances from supervisors carry no weight in academic integrity proceedings — email does. Most UAE supervisors respect students who raise this proactively before writing rather than after a flag appears.
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Timestamp Every Draft From Day One
Save every draft with the date in the filename and maintain version history in Google Docs or Microsoft OneDrive. If a Turnitin AI flag appears on your genuinely authored text, your drafting timeline is your primary defence. A student who can show six weeks of progressive drafts is in a categorically different position to one who submits a polished document with no prior version history.
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Vary Your Sentence Structure Intentionally
Turnitin’s AI Writing Indicator flags statistical uniformity in sentence length, vocabulary distribution, and syntactic pattern — not specific words. ESL students who write in a disciplined, consistent academic register are particularly vulnerable. Deliberately vary sentence length within paragraphs: short declarative sentences alongside longer analytical ones reduce AI detection risk without compromising academic quality.
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Verify Every Reference Manually in Scopus
If you use any AI tool at the research stage, cross-check every suggested reference in Scopus or Google Scholar before including it in your literature review. AI language models hallucinate citations with convincing author names, journal titles, and publication years that do not exist in any indexed database. A single fabricated Scopus reference identified by your supervisor constitutes academic misconduct, not a formatting error.
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Seek Human Expert Support for Data Analysis — Not AI Tools
If you are struggling with SPSS, NVivo, or Excel data analysis, seek qualified human support rather than AI-generated outputs. Ethical dissertation data analysis support where an expert works through your actual dataset with you is CAA-compliant and produces defensible, reproducible results. AI-generated analysis narratives are neither — and examiners in viva settings routinely identify students who cannot explain their own statistical outputs.
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Run a Draft Turnitin Check Before Final Submission
Most UAE universities provide students with at least one draft submission opportunity through Turnitin before the final deadline. Use it. Check both the similarity score and the AI Writing Indicator on your draft. If your AI score is unexpectedly high on genuinely authored chapters, do not panic — and do not use AI tools to rewrite the flagged sections. Seek ethical editorial support to naturally vary phrasing while preserving your original argument and voice.
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Disclose AI Tool Use Where Required — Proactively
Where your institution requires AI tool disclosure — UAEU, Khalifa, AUD, and BUiD all have some form of declaration requirement — include this in your methodology section or an appendix before being asked. Students who disclose voluntarily are treated significantly more favourably in academic integrity processes than those whose AI use is discovered without declaration. Disclosure of permitted use is not an admission of wrongdoing — it is evidence of academic integrity.
The Quillbot & AI Paraphraser Trap — Why It Makes Things Worse
One of the most consistently damaging decisions UAE students make is using AI paraphrasing tools to reduce a high Turnitin similarity score. The logic appears sound: if the original text is too similar to existing sources, paraphrasing it should reduce the match. In practice, the outcome is the opposite of what students intend.
When you run your text through Quillbot, Wordtune, or similar AI paraphrasing tools, the similarity score may decrease because the phrasing no longer matches Turnitin’s database. However, the AI Writing Indicator score simultaneously increases — because the output now reads as statistically consistent with large language model generation. You have solved one problem and created a more serious one.
A high similarity score with a low AI score is a manageable position. It suggests over-reliance on sources, which supervisors can advise on. A low similarity score with a high AI score is a direct misconduct flag. It suggests the student deliberately replaced authentic text with AI output to circumvent detection — which is treated as an aggravating factor in academic integrity proceedings at every UAE institution covered in this guide.
The correct response to a high similarity score is to paraphrase in your own words, cite correctly, and restructure your argument. If you need support doing this ethically, seek qualified editorial assistance — not an AI paraphrasing tool.
Which AI Tools Are Permitted — UAE Student Reference Guide
The following tool verdicts are based on the general policy positions across UAEU, Khalifa, AUD, Zayed, and BUiD. Always confirm with your specific programme policy before use.
Grammar, spelling, and clarity checking on your own authored text. Does not generate content and does not significantly affect AI detection scores when used for editing only.
Academic grammar and language refinement tool that does not generate new content. Widely accepted at AUD and Zayed University for ESL language polishing on student-authored text.
Permitted for brainstorming, outlining, and concept explanation to aid your understanding. Prohibited for drafting any text that will appear in a submitted document. Disclosure required at most UAE institutions even for permitted uses.
Reference management tools, not AI generators. Pull metadata from Scopus, Google Scholar, and institutional databases. Strongly recommended over AI citation tools for all UAE dissertation referencing.
AI paraphrasing tools that reduce similarity scores while simultaneously increasing AI Writing Indicator scores. Using these to circumvent Turnitin detection is treated as an aggravating misconduct factor at UAE institutions.
Tools that generate reference lists using AI routinely produce fabricated Scopus citations with plausible but non-existent author names, journal titles, and DOI numbers. A single fabricated citation identified by a supervisor constitutes academic misconduct.
- Name the specific tool used: Do not write “AI tools were used.” Name the tool, version where known, and the date of use.
- State the specific purpose: Describe precisely how the tool was used — e.g., “ChatGPT (March 2026) was used to generate initial search keyword suggestions for Scopus database queries. All keywords were verified and searches conducted manually by the researcher.”
- Confirm what was not AI-generated: Explicitly state that all submitted text was authored by the student and that AI outputs were used for research support only, not for drafting.
- Reference your institution’s policy: Cite the specific policy document your disclosure complies with. This demonstrates policy awareness and good academic practice rather than concealment.
- Include in the right location: Most UAE universities expect AI disclosure in the methodology chapter or a standalone declaration page — not buried in footnotes. Check your programme’s preferred format before submission.
The Real Risk Is Not AI — It Is Misinformation About AI
The greatest threat to UAE dissertation students in 2026 is not generative AI itself. It is the spread of inaccurate, peer-sourced guidance about what is and is not permitted — guidance that circulates through student WhatsApp groups, online forums, and informal supervisor conversations with no accountability for accuracy. Students who act on bad information face academic integrity consequences that no appeal process can easily reverse. Understanding the strategic landscape — not just the policy text — is what separates informed students from vulnerable ones.
Why UAE Students Are More Exposed Than Students Elsewhere
UAE postgraduate cohorts are uniquely diverse — students from over 90 nationalities, writing in English as a second or third language, navigating policies written in dense academic English, and often studying part-time while managing full-time careers. This combination creates a specific vulnerability: students who are genuinely doing original work get flagged, while students who understand the detection mechanics stay under the threshold.
The students most at risk are not those using AI aggressively — they are ESL students writing disciplined academic English, and working professionals who outsourced their data analysis to AI tools without understanding the distinction between permitted support and misconduct. Both groups can be protected with the right preparation, documentation, and ethical support structure before submission — not after a flag appears.
Real Scenarios: How Labeeb Supports UAE Students Ethically
The following case scenarios reflect the most common situations UAE postgraduate and MBA students face at the AI and academic integrity intersection. Each is resolved through ethical, CAA-compliant support — not ghostwriting or AI substitution.
An Executive MBA student at BUiD has collected 210 survey responses on Emiratisation policy in UAE banking. The research question requires regression analysis in SPSS. The student has never used SPSS and tried using ChatGPT to generate the output narrative — only to realise the AI fabricated statistical values that do not match their actual dataset.
A qualified statistician works directly with the student’s actual dataset in SPSS, runs the correct regression model, explains every output table, and tutors the student through the interpretation. The student writes the results chapter in their own words. The analysis is reproducible, defensible in a viva, and fully CAA-compliant.
A Master’s student at UAEU from a Urdu-speaking background submits a draft chapter and receives a 38% AI Writing Indicator score on text she wrote entirely herself. She used Grammarly for grammar checking only. She has no AI-generated content but cannot explain the flag and fears an academic integrity referral.
An academic editor reviews the flagged sections, identifies the uniform sentence structure patterns triggering detection, and works with the student to naturally vary phrasing and rhythm while preserving her original argument. The student’s drafting timeline and supervisor correspondence are documented as an authorship evidence trail before resubmission.
A DBA candidate at AUD has a literature review chapter showing 28% similarity, primarily from over-quoted journal abstracts and definition paragraphs. His supervisor has returned the chapter requesting similarity reduction before the final submission window closes. He considered Quillbot but was warned against it by a colleague.
An academic editor identifies the specific passages driving the similarity score, advises on which to paraphrase in the student’s own words and which to restructure as properly integrated citations. The student rewrites the flagged sections with editorial guidance. The revised chapter achieves below 15% similarity with no increase in AI score.
Why Human Expert Support Outperforms AI at Every Critical Dissertation Stage
The case for human academic support in UAE dissertations is not merely ethical — it is strategic. AI tools fail precisely at the stages where student grades are most heavily weighted and examiner scrutiny is highest.
Human-led data analysis and human-authored writing can be defended in a viva examination. AI-generated outputs cannot. When an examiner asks “why did you choose this regression model” or “what does this coefficient mean,” a student who worked through the analysis with a statistician can answer. A student whose outputs were AI-generated cannot.
SPSS and NVivo outputs produced by a qualified statistician on your actual dataset are reproducible — a supervisor or examiner can re-run the same analysis and reach the same result. AI-generated statistical narratives are not reproducible because they are not derived from your actual data.
Human-authored text with ethical editorial refinement does not produce the statistical uniformity that triggers Turnitin’s AI Writing Indicator. The natural variation in a human writer’s sentence structure, vocabulary choices, and argument development is what detection algorithms are trained to distinguish from AI generation.
Ethical academic support leaves a clean compliance record. Students who use AI tools without disclosure — and are subsequently flagged — carry an academic integrity notation that follows them through the program. Students who work with compliant support services carry no such record regardless of their Turnitin scores.
Facing an AI Flag or Data Analysis Challenge?
Labeeb Writing & Designs provides fully CAA-compliant academic support for UAE postgraduate and MBA students — including academic integrity editing for Turnitin AI flags, SPSS and NVivo data analysis support, and similarity reduction through ethical paraphrasing guidance. Every service is delivered by qualified human experts, not AI tools.
Get Academic Support on WhatsApp Replies within 15 minutes during working hours (Dubai time)The AI Mistakes That Create Academic Integrity Risk at UAE Universities
Academic integrity investigations at UAE universities in the 2025–2026 cycle follow recognisable patterns. The same categories of AI misuse appear repeatedly across institutions, programs, and student profiles. Understanding these patterns in advance — with the specific correction for each — is the most effective form of risk management available before a flag appears on your submission.
7 AI Mistakes UAE Dissertation Students Make in 2026
Each mistake below is paired with its precise corrective action. Apply all seven before finalising any chapter for submission.
- Assuming Low Similarity Means Safe Submission Most Common✖ The Mistake
Students submit dissertations with 4% similarity scores believing they have passed all Turnitin checks. The AI Writing Indicator — which operates independently — returns a 61% flag on the literature review chapter. The student had no idea the two scores were assessed separately.
✔ The FixAlways check both scores during draft submission. A low similarity score does not indicate a low AI score. Request a full Turnitin report before final submission and review both indicators. If your institution’s portal does not show the AI score in draft mode, ask your supervisor how it is reviewed at final submission.
- Using AI Paraphrasers to Reduce Similarity Scores High Risk✖ The Mistake
A student with 24% similarity runs flagged sections through Quillbot. The similarity score drops to 9%. The AI Writing Indicator simultaneously rises from 12% to 44%. The student has created a misconduct flag where none previously existed — and the act of paraphrasing to lower scores is itself treated as an integrity violation.
✔ The FixParaphrase flagged sections in your own words. Read the source, close it, and rewrite the idea in your own language. If you need support doing this ethically, seek qualified academic integrity editing — not an AI paraphrasing tool. The fix must preserve your voice, not replace it.
- Using AI to Generate Literature Review Citations Misconduct Risk✖ The Mistake
A student uses ChatGPT to suggest journal articles for their literature review and includes the suggested references without verifying them in Scopus. Three of the eight suggested articles do not exist in any indexed database. The supervisor identifies two fabricated citations during review — triggering a formal academic misconduct investigation.
✔ The FixEvery reference in your dissertation must be verified in Scopus, Google Scholar, or your institution’s library database before inclusion. AI tools may suggest search terms — they may not generate citations. Use Zotero or Mendeley to manage references pulled directly from verified databases.
- Submitting AI-Generated Data Analysis Narratives Zero Tolerance✖ The Mistake
An MBA student pastes their SPSS output tables into ChatGPT and asks it to write the results chapter. The AI produces plausible-sounding statistical narrative — but misinterprets the regression coefficients and inverts a significance relationship. The supervisor identifies the error during viva preparation and requests an explanation the student cannot provide.
✔ The FixData analysis chapters must reflect your genuine understanding of the outputs. Seek qualified human statistical support to run and explain SPSS or NVivo outputs — then write the narrative yourself based on that understanding. You must be able to explain every table, coefficient, and finding in your viva.
- Not Disclosing Permitted AI Use Where Required Compliance Error✖ The Mistake
A student at AUD uses Grammarly and ChatGPT for brainstorming — both permitted under their programme policy — but does not include an AI disclosure statement. During a routine integrity review, the AI Writing Indicator flags sections of the introduction. Without a disclosure, the student has no documented record of compliant use, and the investigation proceeds as if undisclosed AI drafting occurred.
✔ The FixInclude an AI disclosure statement in your methodology chapter or declaration page for every tool used — even those that are clearly permitted. Disclosure of compliant use is not an admission of wrongdoing. The absence of disclosure when AI use is later detected is treated as concealment, which is significantly more serious.
- Applying Another Student’s Institution Policy to Your Own Policy Error✖ The Mistake
A Zayed University student hears from a classmate at AUD that ChatGPT can be used freely for outlining with no disclosure required. She applies this to her own Zayed University submission without checking her programme handbook. Zayed University’s current policy requires declaration even for brainstorming use. Her submission triggers a policy violation.
✔ The FixYour institution’s current programme handbook is the only authoritative source for your AI policy. Policies differ across UAE universities and have changed within the same academic year at several institutions. Read your own policy, confirm with your supervisor in writing, and apply that policy only.
- Keeping No Draft History as Authorship Evidence Defenceless Position✖ The Mistake
An ESL student writes her entire literature review chapter authentically over six weeks but saves only the final version. Turnitin flags 35% AI on the chapter. She has no draft history, no supervisor correspondence referencing the chapter content, and no version-controlled document trail. Her genuine authorship cannot be evidenced and the investigation proceeds on the flag alone.
✔ The FixEnable version history in Google Docs or Microsoft OneDrive from day one. Save dated drafts weekly using a filename convention such as LitReview_Draft_v3_March2026. Email draft sections to your supervisor for feedback — every such email creates a timestamped authorship record that is highly persuasive in academic integrity proceedings.
If You Are Already Flagged: A Recovery Strategy
An academic integrity flag is not an automatic finding of misconduct. UAE university processes include an investigation stage where students present their case. The following strategy applies whether you have received a formal notification or an informal supervisor warning about your Turnitin scores.
Work through these steps immediately upon receiving any AI detection flag — before responding to your supervisor or institution. The sequence matters.
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Step 1: Do not revise or resubmit anything immediately. Read the full flag notification carefully. Identify which chapter, which sections, and what percentage triggered the flag. Understand exactly what you are responding to before taking any action.
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Step 2: Compile every piece of authorship evidence available — dated draft files, version histories, supervisor feedback emails, library database search records, handwritten notes, and any timestamped documents showing progressive development of the flagged content.
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Step 3: Contact your supervisor by email — not verbally — to disclose the flag and request guidance on the process. This creates a documented record of cooperative engagement, which academic integrity committees weigh positively when assessing student conduct during investigation.
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Step 4: Identify whether the flagged text was genuinely authored, AI-assisted within policy boundaries, or produced in a way that may have crossed the line. Honest self-assessment at this stage is critical — the response strategy differs significantly depending on which category applies.
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Step 5: If the text is genuinely authored but flagged as AI, seek ethical editorial support to naturally vary sentence structure and vocabulary in the flagged sections before resubmission. Do not use AI paraphrasing tools — this will increase the AI score on resubmission and remove any remaining credibility in your defence.
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Step 6: Prepare a clear, honest written statement for the academic integrity committee explaining your writing process, the tools used, and the evidence supporting authentic authorship. Committees respond far more favourably to transparent, evidence-supported explanations than to denials unsupported by documentation.
- First offence — minor violation: Mandatory resubmission with grade cap, formal warning on academic record, and mandatory academic integrity workshop attendance at most UAE institutions.
- First offence — serious violation: Dissertation chapter rejection, program suspension for one semester, and notation on academic transcript. Applies where AI drafting of submitted text is evidenced at UAEU and Khalifa University.
- Aggravated violation: Deliberate use of AI paraphrasers to circumvent detection, fabrication of citations, or failure to disclose AI use when directly questioned are treated as aggravated offences — carrying potential permanent expulsion and degree revocation.
- CAA reporting: Serious academic misconduct findings at UAE universities may be reported to the Commission for Academic Accreditation, creating a record that can affect future admission applications to other UAE institutions.
- Prevention is the only reliable strategy: No appeal process guarantees reversal of an academic misconduct finding. The time investment required to defend a flag — typically four to eight weeks of investigation — is always greater than the time required to write compliantly from the outset.
The Line Is Clear — What Matters Is Whether You Know Exactly Where It Sits
The 2026 UAE dissertation landscape is not ambiguous about AI. The policies exist, the enforcement tools are deployed, and the consequences for miscalculation are significant. What remains genuinely difficult is the gap between policy text and practical application — knowing not just what the rules say, but how Turnitin’s AI Writing Indicator interprets your specific writing patterns, how your institution’s academic integrity committee weighs a flag, and what constitutes a defensible authorship record.
The students who navigate this landscape without incident are not those who avoid AI entirely — they are those who use it within documented boundaries, write their dissertation chapters in their own voice, maintain a verifiable drafting history, and seek qualified human support at the stages where AI tools genuinely cannot help: data analysis, literature synthesis, and ethical reduction of detection risk on genuinely original text.
The investment required to do this correctly is front-loaded. It takes longer to write your own first draft than to generate one. It takes longer to verify Scopus references manually than to trust an AI citation. But the downstream cost of an academic integrity investigation — in time, in academic standing, and in the psychological weight of an unresolved misconduct process — is categorically greater than the effort saved by any shortcut.
- AI is partially permitted at UAE universities in 2026: brainstorming, grammar checking, and research ideation are generally acceptable. Drafting submitted text, generating citations, and producing data analysis narratives are not.
- Turnitin issues two independent scores: similarity and AI Writing Indicator. A low similarity score does not indicate a safe AI score. Both are reviewed separately by academic integrity committees.
- ESL students face disproportionate false positive risk: disciplined formal academic English shares statistical properties with AI-generated text. A complete drafting history is the primary defence against a false flag.
- AI paraphrasers make things worse, not better: using Quillbot or Wordtune to reduce similarity simultaneously increases the AI Writing Indicator score — and using them to circumvent detection is treated as an aggravating misconduct factor.
- Data analysis chapters require human expert support: AI cannot produce reproducible SPSS or NVivo outputs from your actual dataset. Qualified statistical support is both CAA-compliant and viva-defensible.
- Disclosure of permitted AI use is not an admission of wrongdoing: voluntary disclosure before a flag is always treated more favourably than undisclosed use discovered during investigation.
- Policy varies by institution: UAEU, Khalifa, AUD, Zayed, and BUiD each maintain distinct AI policies. Your programme handbook is the only authoritative source. Peer advice carries no weight in an integrity investigation.
Facing an AI Flag, SPSS Challenge, or Similarity Issue?
Labeeb Writing & Designs provides fully CAA-compliant support for UAE postgraduate and MBA students — including academic integrity editing for Turnitin AI flags, qualified SPSS and NVivo data analysis, and ethical similarity reduction through human editorial guidance. Every service is delivered by qualified experts, not AI tools.
AI & Dissertation Writing in UAE — FAQs
The following questions reflect the most common concerns raised by UAE postgraduate and MBA students navigating generative AI policies, Turnitin detection, and academic integrity compliance in 2026. Each answer is structured for direct, practical application.
Yes. Turnitin’s AI Writing Indicator is specifically designed to detect text generated by large language models including ChatGPT, Gemini, Claude, and similar tools. It operates by analysing statistical patterns in sentence structure, vocabulary distribution, and syntactic consistency — not by matching text against a database of known AI outputs.
The indicator is now active across submission portals at UAEU, Khalifa University, AUD, Zayed University, and BUiD. It generates a score expressed as a percentage of text flagged as likely AI-generated. This score is reviewed independently from the similarity score and is assessed by academic integrity committees at each institution.
Important: Turnitin’s AI detection is not infallible. ESL students writing disciplined formal academic English can receive false positive flags. This is a documented limitation of the system, which is why maintaining a complete drafting history is critical for any UAE postgraduate student, regardless of whether they have used AI tools.
No UAE university has published a universal AI detection threshold equivalent to similarity score limits. This reflects both the evolving nature of AI policy and the known limitations of current detection technology. In practice, academic integrity committees treat AI flags as triggers for investigation rather than automatic misconduct findings.
Based on current supervisor and committee practice across UAE institutions, the following informal thresholds are observed: flags below 20% on isolated sections are typically reviewed with context; flags between 20% and 40% on continuous sections prompt supervisor inquiry; flags above 40% on any chapter section routinely trigger formal academic integrity review.
The practical target for all UAE dissertation students is to aim for the lowest possible AI score on every chapter — achieved by writing in your own voice, maintaining natural sentence variation, and using ethical editorial support rather than AI paraphrasing tools when refinement is needed.
At most UAE universities, AI tools are permitted in a limited advisory capacity at the proposal stage — for brainstorming research angles, generating keyword suggestions for Scopus searches, and checking grammar on text you have authored yourself. Using AI to draft the proposal problem statement, research objectives, or literature gap justification is not permitted and constitutes misconduct at UAEU and Khalifa University.
The proposal stage is particularly high-risk for AI detection because it establishes your original intellectual contribution before research begins. Several UAE institutions — including UAEU — apply Turnitin AI checks at proposal submission, not only at final dissertation submission. A misconduct flag at the proposal stage creates an academic integrity record that follows the student through the entire program.
Turnitin’s AI Writing Indicator produces false positives on genuinely authored text when that text exhibits high statistical uniformity — consistent sentence length, formal academic vocabulary, and disciplined syntactic patterns. This is a known limitation that disproportionately affects ESL students writing formal academic English, including many UAE postgraduate students from Arabic, Urdu, Hindi, and Tagalog language backgrounds.
If your genuine work has been flagged, the following steps apply:
- Compile your drafting evidence: dated draft files, version histories, supervisor feedback emails, and library search records that demonstrate progressive development of the flagged content.
- Vary sentence structure in flagged sections: deliberately mix short declarative sentences with longer analytical ones. Natural variation in sentence rhythm is one of the clearest signals of human authorship to detection algorithms.
- Do not use AI paraphrasers: running flagged sections through Quillbot or similar tools will lower similarity but raise the AI score further — compounding the problem significantly.
- Seek ethical editorial support: a qualified academic editor who works with your existing text to naturally vary phrasing while preserving your argument can reduce AI detection risk without introducing any new compliance concern. Our academic integrity editing service is specifically designed for this situation.
No AI tool currently available can reliably run SPSS analysis on your actual dataset, produce valid statistical outputs, or generate results that are reproducible by an examiner. Tools that claim to analyse data using AI either fabricate statistical values, misinterpret regression outputs, or produce narratives that cannot be defended in a viva examination because they are not derived from your actual data.
What is permitted — and what supervisors at BUiD, AUD, and Zayed University actively support for working professionals — is seeking qualified human statistical assistance. A trained statistician who runs your SPSS analysis on your actual dataset, explains the outputs, and tutors you through interpretation is providing CAA-compliant academic support. You write the results chapter yourself based on a genuine understanding of the outputs.
The distinction examiners draw is clear: a student who can explain their regression model, discuss their significance thresholds, and interpret their findings in the viva has genuinely engaged with the analysis. A student who cannot answer basic questions about their own statistical outputs creates immediate examiner concern regardless of what the written chapter says.
Penalties vary by institution, the severity of the violation, and whether the student has prior academic integrity findings. The general penalty framework across UAE universities in 2026 operates as follows:
- Minor violation (first offence): Mandatory resubmission with a grade cap, formal warning recorded on the academic file, and completion of an academic integrity module.
- Serious violation (first offence): Chapter rejection, program suspension for one semester, and permanent notation on the academic transcript. Applied where AI drafting of submitted text is evidenced.
- Aggravated violation: Deliberate circumvention of detection systems, fabricated citations, or failure to disclose AI use when directly questioned can result in permanent expulsion and degree revocation.
- CAA reporting: Serious findings may be reported to the Commission for Academic Accreditation, potentially affecting future enrolment at other UAE institutions.
APA 7th Edition provides guidance on citing AI-generated content where disclosure is required. The general format for citing a ChatGPT response in APA 7th is as follows: the author is listed as the company (OpenAI), followed by the year, the tool name and version in italics, and the platform URL.
However, citation format is secondary to disclosure placement. Most UAE universities expect AI tool disclosure in the methodology chapter or a standalone declaration appendix — not embedded in in-text citations throughout the dissertation. Before formatting any AI citation, confirm with your supervisor where disclosure should appear and whether your institution has a preferred format that differs from standard APA 7th guidance.
Critical note: citing an AI tool in your reference list does not constitute authorisation to use it for drafting. Disclosure and permission are distinct. A student who cites ChatGPT as a source for drafted paragraphs has disclosed misconduct, not avoided it. AI tools may only be cited for uses that fall within your institution’s permitted boundaries. Our academic formatting service covers APA 7th and Harvard referencing for UAE university dissertations including AI disclosure statements.
Grammarly in its standard grammar and spelling correction mode is not classified as generative AI under most UAE university policies. It does not produce new content — it identifies errors in text you have already written. Using Grammarly for grammar checking and basic clarity suggestions does not significantly affect Turnitin’s AI Writing Indicator when used in this capacity.
However, Grammarly’s generative features — including its “Rewrite” and “Generate” functions — do produce AI-generated text and are subject to the same policy restrictions as ChatGPT or Gemini at UAE institutions. If you use Grammarly’s generative features to rewrite paragraphs, that output constitutes AI-generated content under most UAE university policies.
The practical guidance: use Grammarly in grammar-check mode only. Disable or avoid generative features entirely. If your institution requires disclosure of all AI tools, include Grammarly in your declaration with a clear statement that it was used for grammar checking only, not for content generation.
UAEU’s generative AI policy for postgraduate students reflects a moderate-to-strict position aligned with the UAE Ministry of Education’s guidance on academic integrity in higher education. As of the 2025–2026 academic year, UAEU’s framework permits the use of AI tools for brainstorming, research ideation, and grammar checking on student-authored text, subject to mandatory disclosure in the submitted work.
What is explicitly not permitted is the use of AI tools to draft any section of the dissertation that will be submitted for academic assessment. This includes the introduction, literature review, methodology, results, discussion, and conclusion chapters. UAEU applies Turnitin AI Writing Indicator checks at both the proposal and final submission stages for Master’s students in its College of Graduate Studies.
Always verify your specific programme’s current policy directly with your supervisor or from your programme handbook. UAEU’s policy documentation is updated periodically and the applicable rules are those current at the time of your submission — not those in effect when a previous cohort submitted.
Speak directly with a UAE academic consultant. We respond within 15 minutes during working hours (Dubai time).
هل يمكنك استخدام الذكاء الاصطناعي في كتابة الرسالة العلمية في الإمارات؟
Can You Use AI for Dissertation Writing in UAE? (2026 Guide)باتت الجامعات الإماراتية في عام 2026 تمتلك سياسات واضحة ومُفصّلة بشأن استخدام أدوات الذكاء الاصطناعي في الرسائل العلمية. يُجيب هذا الدليل الشامل على السؤال الذي يطرحه كل طالب دراسات عليا: ما المسموح به وما المحظور؟ وكيف يعمل نظام كشف Turnitin للذكاء الاصطناعي؟ وما العواقب الأكاديمية المترتبة على المخالفات؟ وكيف يمكن الحصول على دعم أكاديمي أخلاقي ومتوافق مع معايير هيئة الاعتماد الأكاديمي؟
النقاط الرئيسية من هذا الدليل
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الذكاء الاصطناعي مسموح به جزئياً فقط في الجامعات الإماراتية
يُسمح باستخدام أدوات الذكاء الاصطناعي في العصف الذهني، وتوليد أفكار بحثية، والتحقق من قواعد اللغة في النصوص التي كتبها الطالب بنفسه. أما استخدام الذكاء الاصطناعي لكتابة فصول الرسالة أو توليد الاقتباسات أو إنتاج تحليلات البيانات فهو محظور ويُعدّ مخالفة أكاديمية في معظم الجامعات الإماراتية.
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Turnitin يُصدر درجتين مستقلتين — كلتاهما مهمة
يُولّد نظام Turnitin درجتين منفصلتين: درجة التشابه (الانتحال) ودرجة كتابة الذكاء الاصطناعي. كلتاهما تُراجعان بشكل مستقل من قِبل لجان النزاهة الأكاديمية. درجة التشابه المنخفضة لا تعني بالضرورة أن درجة الذكاء الاصطناعي آمنة — وكثير من الطلاب يقعون في هذا الفخ.
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الطلاب غير الناطقين بالإنجليزية الأكثر عرضة للإيجابيات الكاذبة
يُعدّ الطلاب الذين يكتبون اللغة الإنجليزية الأكاديمية الرسمية كلغة ثانية أو ثالثة الأكثر عرضة للرصد الخاطئ من قِبل مؤشر كتابة الذكاء الاصطناعي في Turnitin، إذ تتشابه أنماط كتابتهم المنضبطة مع أنماط النصوص المولّدة بالذكاء الاصطناعي. سجل المسودات الموثّقة هو الدليل الرئيسي على أصالة النص.
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أدوات إعادة الصياغة الآلية تُفاقم المشكلة لا تحلّها
استخدام Quillbot أو Wordtune لتخفيض درجة التشابه يؤدي في الوقت ذاته إلى رفع درجة الذكاء الاصطناعي، وهذا يُنشئ علامة مخالفة حيث لم تكن موجودة. واستخدام هذه الأدوات للتحايل على الكشف يُعامَل كعامل تشديد في إجراءات النزاهة الأكاديمية.
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تحليل البيانات يتطلب دعماً بشرياً متخصصاً لا أدوات ذكاء اصطناعي
لا تستطيع أدوات الذكاء الاصطناعي إجراء تحليل SPSS أو NVivo على بياناتك الفعلية وإنتاج نتائج قابلة للتحقق والدفاع عنها في مناقشة الرسالة. الدعم البشري المتخصص الذي يعمل مع بياناتك الحقيقية ويشرح لك المخرجات هو الخيار الأخلاقي والمتوافق مع معايير هيئة الاعتماد الأكاديمي.
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الإفصاح عن استخدام الذكاء الاصطناعي المسموح به واجب ووقائي
الإفصاح الطوعي عن استخدام أدوات الذكاء الاصطناعي المسموح بها في فصل المنهجية أو ملحق الإعلان هو التزام أكاديمي يحمي الطالب. الطلاب الذين يُفصحون قبل اكتشاف أي مخالفة يُعامَلون بصورة أفضل بكثير مقارنة بأولئك الذين يُكتشف استخدامهم دون إفصاح.
- المنطقة الخضراء (مسموح به عموماً): العصف الذهني، تحديد الموضوع، اقتراح الكلمات المفتاحية للبحث في Scopus، مراجعة القواعد اللغوية في النصوص التي كتبها الطالب بنفسه، وتحسين الأسلوب مع الإشراف البشري.
- المنطقة الصفراء (تحتاج حذراً): تلخيص الأوراق البحثية، وتوليد مسودة أولية تُعاد كتابتها بالكامل من قِبل الطالب، والترجمة المساعدة للطلاب ثنائيي اللغة — مشروطة بسياسة المؤسسة.
- المنطقة الحمراء (مخالفة أكاديمية): كتابة فصول الرسالة بالذكاء الاصطناعي وتقديمها كعمل أصيل، توليد اقتباسات بحثية، إعادة الصياغة لتخفيض درجة التشابه، وتوليد روايات تحليل البيانات.
- الاعتقاد بأن درجة التشابه المنخفضة تعني أمان الاقتراح من كشف الذكاء الاصطناعي
- استخدام أدوات إعادة الصياغة الآلية لتخفيض درجة التشابه فترتفع درجة الذكاء الاصطناعي بدلاً منها
- إدراج اقتباسات بحثية من Scopus اقترحها الذكاء الاصطناعي دون التحقق منها في قواعد البيانات الفعلية
- استخدام الذكاء الاصطناعي لتوليد روايات تحليل SPSS غير مستندة إلى بياناتك الحقيقية
- عدم الإفصاح عن أدوات الذكاء الاصطناعي المستخدمة حتى المسموح منها في سياسة المؤسسة
- عدم الاحتفاظ بسجل مسودات موثّق يُثبت أصالة النصوص في حال ظهور علامة كشف
هل تواجه علامة كشف ذكاء اصطناعي أو تحدياً في تحليل البيانات؟
يقدّم فريق لبيب للكتابة والتصميم دعماً أكاديمياً أخلاقياً ومتوافقاً مع معايير هيئة الاعتماد الأكاديمي — يشمل التحرير الأكاديمي لعلامات كشف الذكاء الاصطناعي، ودعم تحليل SPSS وNVivo، وخدمات تنسيق APA وHarvard، وصياغة بيانات الإفصاح عن استخدام الذكاء الاصطناعي لطلاب الجامعات الإماراتية.
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