ICoBCAcademy

AI Skills Inference: Evidence or Guesswork?

Inferred skill profiles compared with credentialed skills.

  • Knowledge
  • L3 Enable
  • Horizon
  • Trustworthy AI in recognition
  • ICB-H04
Start the courseSource on GitHub

Why this course

Inferred skill profiles are built into many HR tools and compete with credentials as skills signals. Members need to know how they differ and how the two can be combined.

What you will be able to do

  1. Explain how AI infers skills from CVs, work activity and content.
  2. Compare inferred skills with credentialed skills in terms of evidence.
  3. Identify when inference may be a high-risk use under the AI Act.

Modules

  1. How inference works
  2. Evidence quality
  3. Uses and risks

Assessment

Knowledge check with scenarios (10 questions).

Badge evidence: Passed knowledge check.

Prerequisites: ICB-F05

Who it is for

  • Companies and employers
  • Education and providers
  • Associations and policy

Framework alignment

ICSFframeworkAIRCskillL3levelKstage

Trustworthy AI in recognition (AIRC, VRITE pillar Trustworthiness)

Related skills: Skills taxonomies and alignment, Skills-based talent practice. About the framework

Use in your organisation

In corporate training

Self-paced module for HR, talent acquisition and mobility; HR and learning technology owners. Badge aligns to ICSF AIRC L3 (SFIA 4) and can be referenced in role profiles. Counts as awareness evidence; it does not show performance.

In education

Micro-credential of 2 h notional workload (about 0.1 ECTS), indicative EQF 5 to 6, assessed by knowledge check with feedback. Stacks into pathway PW08.

EU micro-credential elements

Awarding body ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 2 h (about 0.1 ECTS). Level: ICSF L3, EQF 5 to 6 (indicative). Type of assessment: knowledge check with feedback. Form of participation: Online, asynchronous. Type of quality assurance: ICoBC internal QA against VRITE. Prerequisites: ICB-F05.

Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.

Part of these pathways

Quality and AI

Quality focus: VRITE Rigor.

AI dimension: Core topic of the course.

Improve this course

The course is open on GitHub in LiaScript format under CC BY 4.0. View the source or read how to suggest a change.