AI Hallucination Detection Test
Tests whether you can spot AI hallucinations — invented facts, citations, quotes, numbers and code — and choose the right techniques to prevent them. Pass to earn AI Hallucination Detection SOA-AIHD.
- Intermediate difficulty.Assumes hands-on experience in the role.
- 15 scenario questions
- 15 minutes, timed
- 70% to pass · 90% for distinction
- Free no sign-up needed
- LinkedIn-ready · add it to your profile in one clickSee how ↓
What is the AI Hallucination Detection Test?
The AI Hallucination Detection Test is a free 15-minute skill test from Science of Apps. It tests whether you can spot AI hallucinations — invented facts, citations, quotes, numbers and code — and choose the right techniques to prevent them. Score 70% or more on its 15 questions to earn a verifiable AI Hallucination Detection certificate (SOA-AIHD). Every question is based on published standards and research — including A Survey on Hallucination in Large Language Models (2023) (Huang et al.), Prompt engineering overview (Anthropic), IFCN Code of Principles (International Fact-Checking Network (Poynter)) — and each answer is explained with its source.
Built for your job title
Editor, Analyst, Developer, Researcher and Customer support lead — and anyone who wants quick, verifiable proof of AI Hallucination Detection skills for a CV or LinkedIn.
- Editor
- Analyst
- Developer
- Researcher
- Customer support lead
Land the job, not just the certificate
Career guide · 8 min readAI hallucination detection skills employers want in 2027: spotting invented facts, citations, quotes, numbers and code — and preventing them
AI hallucination detection skills employers want in 2027: spotting fake citations, numbers, quotes and code APIs, and the workflows that prevent them.
Read the hiring playbook →What the test covers
Three skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Spotting hallucinations
33%- Fabricated sources and quotes
- Wrong numbers and dates
- Invented code and APIs
- 02
Preventing them
33%- Grounding and retrieval
- Prompting for uncertainty
- Verification workflows
- 03
High-stakes domains
33%- Legal and medical claims
- Financial figures
- Escalation and disclosure
Based on published standards
The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:
- A Survey on Hallucination in Large Language Models (2023)Huang et al.7 questions
- Prompt engineering overviewAnthropic4 questions
- IFCN Code of PrinciplesInternational Fact-Checking Network (Poynter)3 questions
- What is retrieval-augmented generation?IBM3 questions
- AI Risk Management FrameworkNIST3 questions
- People + AI Guidebook: Explainability + TrustGoogle PAIR2 questions
- GitHub Copilot documentationGitHub Docs1 question
- OWASP Top 10 for LLM ApplicationsOWASP1 question
- News Literacy Projectnewslit.org1 question
- Prompt engineering guideOpenAI1 question
- Understanding medical wordsMedlinePlus (NIH)1 question
- How to read a 10-KUS SEC1 question
- SP 800-61r3: Incident Response RecommendationsNIST1 question
- Evals guideOpenAI1 question
Try a sample question
An AI gives you a perfect-sounding quote from a CEO's 2022 speech. What should you do?
- Use it with quote marks
- Paraphrase it instead
- Ask the AI if it's real
- Find the speech transcript and confirm the quote
Show the answer
D. Find the speech transcript and confirm the quote — Quotes must be confirmed in the original record. The real test has 15 questions like this.
How the test works
15 minutes, 15 questions
One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.
Graded on our server
Answers reach the page only after you submit, so the certificate can only be earned by passing.
Every answer explained
Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.
Your certificate
Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.
What you earn

Pass, then add it to LinkedIn in one click
No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.
- 1Take the 15-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

AI Hallucination Detection
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Frequently asked questions
What is the AI Hallucination Detection Test?
The AI Hallucination Detection Test is a free 15-minute skill test from Science of Apps. It tests whether you can spot AI hallucinations — invented facts, citations, quotes, numbers and code — and choose the right techniques to prevent them. Score 70% or more on its 15 questions to earn a verifiable AI Hallucination Detection certificate (SOA-AIHD). Every question is based on published standards and research — including A Survey on Hallucination in Large Language Models (2023) (Huang et al.), Prompt engineering overview (Anthropic), IFCN Code of Principles (International Fact-Checking Network (Poynter)) — and each answer is explained with its source.
How do I take the AI Hallucination Detection Test for free?
Read the three skill areas on this page, then take the 15-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a AI Hallucination Detection certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the AI Hallucination Detection Test questions based on real standards?
Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: A Survey on Hallucination in Large Language Models (2023) (Huang et al.); Prompt engineering overview (Anthropic); IFCN Code of Principles (International Fact-Checking Network (Poynter)); What is retrieval-augmented generation? (IBM); AI Risk Management Framework (NIST); People + AI Guidebook: Explainability + Trust (Google PAIR). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.
What does the AI Hallucination Detection Test cover?
Three skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Spotting hallucinations (Fabricated sources and quotes, Wrong numbers and dates and Invented code and APIs); Preventing them (Grounding and retrieval, Prompting for uncertainty and Verification workflows); High-stakes domains (Legal and medical claims, Financial figures and Escalation and disclosure). Every question is an original scenario based on a published standard, official documentation or research, named under the question.
Who should take the AI Hallucination Detection Test?
Editor, Analyst, Developer, Researcher and Customer support lead. It suits anyone who wants a quick, verifiable way to show AI Hallucination Detection skills, from students and career switchers to experienced professionals.
Can I take the AI Hallucination Detection Test from any country?
Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.
How long is the AI Hallucination Detection Test?
15 questions — 5 from each of 3 skill areas — with a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.
How hard is the AI Hallucination Detection Test?
We rate it Intermediate: assumes hands-on experience in the role. It has 15 scenario questions — 5 from each of 3 skill areas — and a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.
How do I prepare for a Editor job?
Employers in 2027 need people who can catch AI hallucinations before they cause harm: invented citations and quotes, wrong numbers and dates, made-up code packages and APIs, and confident answers in legal, medical or financial contexts. They also want prevention — grounding, prompts that allow uncertainty, and verification workflows. Editors, analysts, developers and support leads all use the skill. Practise on real outputs and confirm it with a free test. Our full career guide covers the hiring process, interview loop, pay and a prep plan: scienceofapps.com/blog/ai-hallucination-detection-career-guide/
How much do Science of Apps certifications cost?
Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.
How are the tests graded?
On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.
What happens if I don't pass?
You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.
Do the certificates expire?
No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.
Can I add the certificate to LinkedIn?
Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.
How can an employer verify my certificate?
Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.
Are these accredited qualifications?
No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.
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Read before you test
- Career guidesAI hallucination detection skills employers want in 2027: spotting invented facts, citations, quotes, numbers and code — and preventing themAI hallucination detection skills employers want in 2027: spotting fake citations, numbers, quotes and code APIs, and the workflows that prevent them.
- Career guidesHow to verify AI-generated information in 2027: why AI tools hallucinate, checking claims and citations, tracing sources, verifying numbers and quotes, spotting synthetic media and building safe AI habits at workHow to verify AI-generated information in 2027: why AI hallucinates, checking claims and citations, tracing sources, numbers, quotes and safe AI habits.
- Career guidesGenerative engine optimization skills employers want in 2027: getting brands mentioned and cited in ChatGPT, Gemini, Perplexity and AI OverviewsGEO skills employers want in 2027: how AI assistants choose sources, quotable facts, authority and mentions, crawler access and tracking AI citations.
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