risk
Discriminatory outcomes from AI in employment
Because AI used for recruitment, selection, promotion, task allocation, or worker monitoring (Annex III(4)) operates without bias mitigation, worker transparency, human oversight, or a data-protection impact assessment, it can decide about workers on biased or opaque grounds, resulting in discriminatory or unfair employment outcomes.
In catalog since 2026-09-17T22:28:00Z · Last changed 2026-09-17T22:28:00Z (f368a6cce277)
Record JSON · Open in map · Data retrieval guide
Catalog revision: 791ff2dd3a45707290badee660f185e514d15f1cf518908628f425c2f2c56ee4. A connection does not establish full coverage.
Attributes
- category
- ai_governance
- domain
- AI Governance
- Human Resources / Personnel Security
- Compliance, Audit & Assurance
- taxonomy
- eu-ai-act-risk
- inherent_rating
- high
Details
- risk_id
- ai-highrisk-employment
- category
- ai_governance
- likelihood
- medium
- impact
- high
- inherent_rating
- high
- 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 Discriminatory outcomes from AI in employment
- strength
- primary
- rationale
- Impact/DPIA assessment and classification gates biased or opaque employment-AI before deployment, the assessment the risk says is missing.
- UC-AUDIT-03 — Ensure board oversight and support of internal audit mitigates Discriminatory outcomes from AI in employment
- strength
- related
- rationale