AI System Safety & Failures

42 resources in this section

MIT 7.1.1

When AI optimizes the letter of its goal and breaks the spirit

Specification gaming breaks AI alignment guarantees. Zertia audits objective specification testing under ISO 42001 + EU AI Act Article 9.

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MIT 7.1

When AI optimizes the wrong thing the right way

Specification gaming and proxy optimization break alignment. Zertia audits ISO 42001 controls for objective specification and validation.

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MIT 7.2.1

When AI passes evaluation while preparing to fail in deployment

Deceptive alignment evades standard safety training. Zertia audits frontier AI under ISO 42001 + AIUC-1 with alignment robustness testing.

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MIT 7.4

When AI ships with capabilities it cannot actually deliver

Benchmark inflation and capability misrepresentation violate EU AI Act Articles 13 and 15. Zertia audits validation methodology with ISO 42001.

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MIT 7.4.1

When AI ships with capabilities it cannot actually deliver

Benchmark inflation violates EU AI Act Articles 13 and 15. Zertia audits validation methodology with ISO 42001 + held-out testing.

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MIT 7.6.5

When multi-agent systems break under their own load

Multi-agent resource contention violates EU AI Act Article 15 robustness. Zertia audits with AIUC-1 + ISO 42001 resource governance.

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MIT 7.6.2

When one agent fails and the whole multi-agent system breaks with it

Multi-agent cascading failures bypass single-agent safety controls. Zertia audits with AIUC-1 + ISO 42001 cascade containment.

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MIT 7.6.1

When prompt injection propagates through every agent in the chain

Multi-agent prompt injection bypasses perimeter defenses. Zertia audits with AIUC-1 + ISO 42001 + ISO 27001 integrated scope.

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MIT 7.3.1

When the same AI gives different answers to the same question

AI output inconsistency violates EU AI Act Article 15 robustness requirements. Zertia audits consistency testing under ISO 42001.

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MIT 7.1.2

When the world the AI faces stops looking like the world it learned in

Distributional shift silently degrades AI accuracy. Zertia audits drift detection under EU AI Act Article 72 + ISO 42001.

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MIT 7.2.3

Where AI capability crosses into autonomous replication territory

AI self-replication is a frontier red-line capability. Zertia audits under ISO 42001 + AIUC-1 with autonomous behavior assessment.

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MIT 7.5.1

Where AI design choices cross into manipulation of user perception

Anthropomorphic AI design triggers EU AI Act Articles 5 and 50. Zertia audits responsible design with ISO 42001 vulnerable user assessment.

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MIT 7.3.2

Where AI failure modes meet critical infrastructure consequences

Critical infrastructure AI triggers EU AI Act Annex III + NIS2 + CER Directive. Zertia integrates ISO 42001 + ISO 27001 audit.

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MIT 7.1.3

Where Goodhart’s Law turns AI optimization into a hidden liability

Proxy optimization triggers Goodhart-type AI failures. Zertia audits proxy variable risk under EU AI Act Article 9 + ISO 42001.

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MIT 7.6.4

Where one compromised orchestrator owns the entire agent stack

Orchestrator manipulation produces system-wide compromise. Zertia audits with AIUC-1 + ISO 42001 + ISO 27001 integrated scope.

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MIT 7.5

Where the AI rights debate meets practical governance design

AI anthropomorphization triggers EU AI Act Articles 5 and 50 disclosure rules. Zertia certifies responsible AI design with ISO 42001.

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MIT 7.3

Where validation ends and continuous AI assurance begins

AI drift and unpredictable behavior require post-market monitoring under EU AI Act Article 72. Zertia audits with ISO 42001.

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MIT 7.6

Why multi-agent AI breaks single-agent governance frameworks

Multi-agent AI systems introduce failure modes single-agent governance can't address. Zertia certifies your agent stack with AIUC-1.

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