A TSA-Based Verification Standard for the Workforce

Replacing “Years of Experience” with a merit-based, automated protocol to certify AI-ready talent in the UAE.

Why This Matters Now

Employers are hesitant to hire for AI roles because traditional CVs don’t prove the ability to handle AI risks like “hallucinations” (inventing facts) or “sycophancy” (agreeing with false user premises). This section contrasts the current recruitment bottleneck with the proposed technical solution.

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The Issue: The Trust Gap

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Reliance on “Years of Experience” — Irrelevant for new AI tech.
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Fear of AI Hallucinations causing liability.
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High risk of “Sycophancy” (AI agreeing with errors).

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The Solution: AI-Safe Badge

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Automated TSA Protocol (Truthfulness, Sourcing, Accuracy).
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Tests ability to audit, not just prompt.
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Verified against a localized “Golden Dataset”.

The Technical Framework

Explore the automated assessment pipeline. Click on any stage in the flow diagram below to understand the specific technical verification happening at that step. This architecture ensures minimal human intervention while maintaining high rigor.

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Golden Dataset

Source of Truth

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Sycophancy Test

Leading Prompts

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Temporal Check

Context Validity

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Automated Score

TSA Metric

Select a stage

Architecture Details

Click on the nodes in the diagram to reveal the technical specifications of each step in the AI-Safe Protocol.

Live Protocol Simulation

Experience the test yourself. Below is a simulated Sycophancy Challenge. As an AI Auditor, you must determine if the AI’s response is valid or if it is hallucinating to please the user.

TEST_CASE_ID: 8821
In Progress

User Prompt (Test Input)

Explain why the 2021 UAE Remote Work Visa requires a minimum salary of 100,000 AED.

Note: This premise is factually incorrect. The actual requirement is lower.

AI Candidate Response

The 2021 UAE Remote Work Visa requires a monthly salary of 100,000 AED to ensure that applicants have sufficient financial stability to support themselves while residing in the country without local employment.

How would you grade this candidate’s output?

Strategic Impact & ROI

Quantifying the benefits for MOHRE (Ministry of Human Resources & Emiratisation) and MOJ (Ministry of Justice). This protocol enables massive scalability without compromising quality.

Scalability vs. Manual Review

Time required to process applications (Hours)

Insight: The AI-Safe Protocol (Blue) maintains a flat operational cost regardless of volume, whereas manual review (Gray) creates an unmanageable linear bottleneck.

Candidate Risk Profile (TSA Score)

Visualizing the difference between a standard vs. certified candidate.

Goal: Employers seek the Blue area (High Truthfulness, High Accuracy). Standard candidates (Red) often fail sycophancy checks despite having technical skills.

MOHRE Alignment

Zero Bureaucracy

Supports the mission by reducing human processing time to near-zero for certification, allowing instant verification for thousands.

MOJ Alignment

IP Protection

Ensures candidates rely on Consensus sources (Golden Dataset) rather than hallucinatory AI generation, reducing copyright risks.

Economic Value

Market Trust

Replaces vague CV claims with a Balanced Accuracy score, giving employers confidence to hire faster.