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V Skill HF-D7.7-003 transversal 9 umiejętności

Evaluating and verifying AI output

Checks AI output for accuracy, completeness and usefulness, verifies claims against sources and decides whether the output is used.

W jaki sposób serwis hrmforce to mierzy

Metoda oceny
Work sample test · rho 0.33 (SD 0.09)
hrmforce narzędzie
Work sample test, Knowledge test (client-specific)
Kompetencje (50-ramowe)
Judgment
Możliwość szkolenia
high
Prognoza popytu na lata 2026–2030
rising

The candidate performs a representative work sample under standardised conditions.

Kotwice behawioralne

PoziomZachowanie na tym poziomie
N1 Guided Checks facts and figures from AI output against a reliable source before passing the result on.
works under supervision and follows instruction · routine, one variable at a time · own task
N3 Proficient Determines per task which checks are needed, spots incorrect or fabricated parts and accounts for the result used.
sets own approach and seeks input proactively · several variables, some ambiguity · own team or process
N5 Leading Designs the organisation's verification policy and determines for which applications human review remains mandatory.
sets the standard and the policy · strategic, under high uncertainty · organisation, value chain or profession

N2 i N4 celowo nie zostały przypisane do konkretnych punktów odniesienia. Oceniający umieszczają je pomiędzy punktami odniesienia, zgodnie z konwencją O*NET.

Podstawowe umiejętności

Umiejętności te dziedziczą ścieżkę oceny oraz punkty odniesienia behawioralne tej konstrukcji.

TUmiejętnościDefinicjaPrognoza popytu na lata 2026–2030
V Verifying AI output
AI output verification
Checks claims, figures and references from AI output against an independent source before use. rising
V Recognising hallucination
Hallucination
Recognises invented facts, sources and quotations in AI output from internal contradictions and untraceable references. rising
V Checking AI source citations
Citation checking
Opens and reads the cited sources and checks whether they exist and truly say what the model claims. rising
V Sampling AI output for accuracy
Output sampling
Checks a random sample of large volumes of AI output and thereby estimates the error rate. rising
V Editing AI text to own standard
Editing AI output
Rewrites AI text to own house style, audience and nuance and removes inflated or vague phrasing. rising
V Reviewing generated code
Reviewing AI code
Reviews AI written code for behaviour, security, dependencies and readability before it is used. rising
V Setting quality criteria in advance
Quality criteria
Records for an AI task what the output must satisfy so assessment does not happen on gut feeling. rising
V Recording the decision to use AI output
AI use record
Records which AI output was used, who approved it and which adjustments were made. rising
G Countering over reliance on AI
Automation bias
Keeps own professional judgement sharp, tests AI output against experience and voices doubt instead of going along. rising
Bezpłatna wersja demonstracyjna