Agentic AI in Learning and Recognition: What Could Go Wrong
Agents that request, hold and present credentials, and the controls they need.
Why this course
This is the theme of the 6th ICoBC Symposium, so ICoBC has current material and an active community. Identity and delegation standards for agents are still forming, so a workshop that is revised after each run fits better than a fixed course.
What you will be able to do
- Describe how AI agents can request, hold, present or act on credentials.
- Analyse risk scenarios: fabricated credentials, persistent agent access, identity spoofing, actions beyond the mandate.
- Design controls: holder binding, delegated and time-limited authority, audit trails, human approval.
- Separate proof of achievement from authorisation to act.
Modules
- Agents and credentials
- Risk scenarios
- Controls
- Accountability
Assessment
Risk and control analysis for one agent scenario.
Badge evidence: Risk and control analysis.
Prerequisites: ICB-F07
Who it is for
- Companies and employers
- Education and providers
- Associations and policy
Framework alignment
Trustworthy AI in recognition (AIRC, VRITE pillar Trustworthiness)
Related skills: Digital identity and wallets, Security, privacy and data protection. About the framework
Use in your organisation
In corporate training
Workshop module for L&D and corporate academy leads; HR and learning technology owners. 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 4 h notional workload (about 0.2 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: 4 h (about 0.2 ECTS). Level: ICSF L4, EQF 6 to 7 (indicative). Type of assessment: assessed practical task with rubric. Form of participation: In person or live online workshop with online pre-work. 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 6 of 6
Quality and AI
Quality focus: VRITE 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.