risk
Unfair exclusion by AI in education and training
Because AI determining access, admission, assessment, or proctoring in education and vocational training (Annex III(3)) operates without bias controls, transparency, human oversight, or fundamental-rights safeguards, learners can be scored or excluded unfairly, resulting in denial of educational opportunity and discrimination.
Record JSON · Open in map · Data retrieval guide
Catalog revision: 24028ffcfc2b295fa1b08ee6caa84b765f0731b321496bf4f548c49ad2177028. A connection does not establish full coverage.
Attributes
- category
- ai_governance
- domain
- AI Governance
- Compliance, Audit & Assurance
- taxonomy
- eu-ai-act-risk
- inherent_rating
- medium
Details
- risk_id
- ai-highrisk-education
- category
- ai_governance
- likelihood
- medium
- impact
- medium
- inherent_rating
- medium
- treatment
- mitigate
- taxonomies
- eu-ai-act-risk
Source
No record-specific source URL is provided.
Connections
- UC-AI-04 — Assess impacts and classify AI systems before deployment mitigates Unfair exclusion by AI in education and training
- strength
- primary
- rationale
- Pre-deployment impact assessment plus high-risk classification is the mandated control education-AI is faulted for lacking, gating unfair scoring/exclusion.
- UC-AI-09 — Govern AI data quality, provenance, and preparation mitigates Unfair exclusion by AI in education and training
- strength
- primary
- rationale
- Data preparation/quality and bias examination address the training-data bias central to education-AI fairness requirements.