Governing AI in Assessment and Skills Inference
Preparing for the AI Act's high-risk duties in education and employment.
Why this course
Annex III of the AI Act lists AI used to evaluate learning outcomes, steer learning or assess workers as high-risk. Those obligations now apply from 2 December 2027, and organisations need most of 2027 to prepare, so the course must run during 2027.
What you will be able to do
- Classify AI uses in credentialing under the EU AI Act, including the high-risk categories for education and employment.
- Design human oversight, documentation and quality controls for AI-supported assessment and skills inference.
- Test AI systems for bias and error with representative data.
- Prepare for the obligations that apply from 2 December 2027.
Modules
- Classification
- Oversight
- Testing
- Documentation
- Supplier management
Assessment
AI governance plan for one AI use.
Badge evidence: Governance plan.
Prerequisites: ICB-F07
Who it is for
- Companies and employers
- Education and providers
- Associations and policy
- ICoBC quality network
Framework alignment
Trustworthy AI in recognition (AIRC, VRITE pillar Trustworthiness)
Related skills: Assessment and evidence, Policy and regulatory navigation. About the framework
Use in your organisation
In corporate training
Blended cohort module for L&D and corporate academy leads; HR, talent acquisition and mobility. Badge aligns to ICSF AIRC L4 (SFIA 5) and can be referenced in role profiles. Counts as skill evidence; competency on the job needs a V-series validation.
In education
Micro-credential of 10 h notional workload (about 0.4 ECTS), indicative EQF 6 to 7, assessed by assessed practical task with rubric. Stacks into pathway PW08.
EU micro-credential elements
| Awarding body | ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 10 h (about 0.4 ECTS). Level: ICSF L4, EQF 6 to 7 (indicative). Type of assessment: assessed practical task with rubric. Form of participation: Blended: online self-study and facilitated cohort sessions. Type of quality assurance: ICoBC internal QA against VRITE. Prerequisites: ICB-F07. |
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Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.
Part of these pathways
- Trustworthy AI in Recognition step 5 of 6
Quality and AI
Quality focus: VRITE Trustworthiness and 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.