Ethics & Principles

9 resources in this section

AI Transparency — Disclosure and Documentation Requirements

Definición técnica AI transparency is the obligation and practice of providing clear, accurate, and accessible information about AI systems — their purpose, capabilities, limitations, decision logic, data sources,…

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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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Disparate Impact — Algorithmic Discrimination in AI Decision Systems

Definición técnica What is disparate impact in AI decision systems? Disparate impact is a legal and analytical concept describing the situation in which an apparently neutral decision system…

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Explainable AI (XAI) — AI Decision Transparency and Interpretability

Definición técnica Explainable AI (XAI) refers to methods, techniques, and design principles that make the decisions, predictions, and behavior of AI systems understandable to human stakeholders — including…

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Fairness in AI — Equitable Outcomes and Non-Discrimination Requirements

Definición técnica Fairness in AI refers to the requirement that AI systems treat individuals and groups equitably, without producing discriminatory outcomes based on protected characteristics such as race,…

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Human Oversight — Genuine AI Supervision Requirements

Definición técnica What is human oversight in AI systems? Human oversight in AI refers to the requirement that AI systems — particularly those making consequential decisions — operate…

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Responsible AI: where principles become operational practice

Responsible AI operationalizes ethical principles. Zertia audits Responsible AI under ISO 42001 with EU AI Act mapping.

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Trustworthy AI — Seven Requirements for AI Systems

Definición técnica Trustworthy AI refers to AI systems that exhibit properties that make them worthy of human and institutional trust: they are lawful (compliant with applicable regulations), technically…

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Watermarking (AI) — Content Provenance and EU AI Act Article 50 Compliance

Definición técnica What is watermarking in AI-generated content? Watermarking in AI is the practice of embedding a detectable signal in AI-generated content so that downstream systems can identify…

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