risk

AI accountability gaps and organizational liability

Ambiguous responsibility across developers, deployers, and operators means no party is clearly accountable when AI causes harm; organizations face reputational damage, regulatory sanctions, and civil liability from AI failures at scale, and operational disruption when AI is unavailable.

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
  • Governance, Policy & Oversight
  • Compliance, Audit & Assurance
taxonomy
  • nist-ai-rmf-risk
  • iso-23894-ai-risk
inherent_rating
high

Details

risk_id
ai-accountability-liability
category
ai_governance
likelihood
medium
impact
high
inherent_rating
high
treatment
mitigate
taxonomies
  • nist-ai-rmf-risk
  • iso-23894-ai-risk

Source

No record-specific source URL is provided.

Connections