Assessment Integrity in the Age of Generative AI
Keeping assessment evidence trustworthy when AI can produce the work.
Why this course
If AI can produce the assessment evidence, the credential's claim weakens for every earner who holds it. Every issuer faces this now. High urgency and a strong fit with ICoBC's quality role.
What you will be able to do
- Analyse integrity risks of an assessment when generative AI and agents are available.
- Redesign assessments to produce trustworthy evidence (authentic tasks, process evidence, oral and supervised elements).
- Write an assessment integrity policy that states permitted AI use.
- Explain why AI detection tools are not a reliable basis for decisions.
Modules
- A threat model for assessment
- Design responses
- Identity and supervision
- Policy
- Communicating with earners
Assessment
Integrity review and redesign of an existing assessment, plus a draft policy.
Badge evidence: Review; redesigned assessment; draft policy.
Prerequisites: ICB-P02
Who it is for
- Education and providers
- Companies and employers
- Associations and policy
- ICoBC quality network
Framework alignment
Assessment and evidence (ASMT, VRITE pillar Rigor)
Related skills: Trustworthy AI in recognition, Security, privacy and data protection. About the framework
Use in your organisation
In corporate training
Blended cohort module for L&D and corporate academy leads. Badge aligns to ICSF ASMT 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 8 h notional workload (about 0.3 ECTS), indicative EQF 6 to 7, assessed by assessed practical task with rubric. Stacks into pathway PW03, PW08.
EU micro-credential elements
| Awarding body | ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 8 h (about 0.3 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-P02. |
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Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.
Part of these pathways
- Assessment Lead step 5 of 7
- Trustworthy AI in Recognition step 3 of 6
Quality and AI
Quality focus: VRITE Rigor and Trustworthiness.
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.