Risk & Assessment

19 resources in this section

AI Alignment — Ensuring AI Behaviour Matches Intended Objectives

Definición técnica What is AI alignment in production AI systems? AI alignment is the discipline of ensuring that an AI system's behaviour matches the…

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AI Audit: where AI systems prove what they claim to do

AI audit by accredited body verifies independence and compliance. Zertia is ANAB-accredited. Definición técnica An AI audit is a systematic, independent, d…

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AI Impact Assessment — Evaluating Consequences Before Deployment

Definición técnica An AI Impact Assessment (AIA) is a structured evaluation of the actual and potential impacts of an AI system on individuals, groups…

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AI Incident Response — Governance When AI Systems Fail

Definición técnica AI incident response is the structured organizational process for detecting, classifying, containing, investigating, remediating, and…

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AI Incident: where Article 73 makes incident reporting non-optional

EU AI Act Article 73 mandates serious incident reporting within 15 days. Zertia integrates workflows under ISO 42001.

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AI Red Team: where adversarial audit finds what development did not want to see

AI Red Team mandatory under EU AI Act Article 55(b). Zertia audits under ISO 42001 + MITRE ATLAS. Key facts AI Red Team: adversarial evaluation eliciting f…

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AI Risk Assessment: where historical data stops being sufficient

AI risk assessment addresses emergent capabilities and distributional shift. Zertia audits under ISO 42001 + ISO 23894.

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AI Risk Management: where generic risk practice stops working for AI

AI risk management addresses AI-specific failure modes. Zertia audits under ISO 42001 + ISO 23894. Definición técnica What is AI Risk Management? AI risk m…

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Algorithmic Bias: where structural inequality enters the model output

Algorithmic bias creates unfair outcomes for specific groups. Zertia audits bias detection under ISO 42001 + EU AI Act Articles 10 and 14.

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Algorithmic Risk — Risk Taxonomy for AI Systems

Definición técnica Algorithmic risk refers to the potential for harm, adverse outcomes, or unintended consequences arising from the design…

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Concept Drift: where reality changes while the model stays static

Concept drift requires re-specification, not just retraining. Zertia audits detection under ISO 42001 + EU AI Act Article 72.

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Discrimination Risk: where technical bias meets legally protected rights

Discrimination risk converts AI bias into legal liability. Zertia audits under ISO 42001 + EU AI Act.

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DPIA — Data Protection Impact Assessment for AI Systems

Definición técnica A Data Protection Impact Assessment (DPIA) is a structured process required by GDPR Article 35 for processing activities that are…

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Fundamental Rights Impact Assessment (FRIA) — EU AI Act Deployer Obligation

Definición técnica What is a Fundamental Rights Impact Assessment (FRIA)? A Fundamental Rights Impact Assessment (FRIA) is a structured evaluation…

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Hallucination: where the model confuses fluency with truth

Hallucination is structural to generative AI. Zertia audits mitigation under ISO 42001 + EU AI Act. Definición técnica What is hallucination in generative …

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NIST AI Risk Management Framework

NIST AI RMF is the US voluntary framework for AI risk management. Zertia integrates NIST AI RMF mapping within ISO 42001 audit.

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Risk Register — Living Documentation of AI Risk Management

Definición técnica An AI risk register is a structured, maintained document that captures the identified risks associated with an organization's AI…

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Supply Chain Risk (AI) — Third-Party AI Governance and Vendor Risk

Definición técnica AI supply chain risk refers to the governance and security risks that arise from an organization's dependence on external parties — AI…

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Systemic Risk: where individual model risk becomes market-wide risk

Systemic AI risk affects multiple deployers. Zertia audits GPAI under ISO 42001 + EU AI Act. Systemic AI risk affects multiple deployers via shared models.…

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