Audit Trail — Traceability and Accountability in AI Systems
Definición técnica An audit trail in AI systems is a chronologically ordered, tamper-evident record of events, decisions, and actions taken by or involving an AI system — sufficient…
Resources
Insights on AI Governance & Compliance
Explore our latest resources and practical guides to navigate the evolving landscape of AI compliance and regulation.
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Continuous Assurance — Ongoing AI Governance Monitoring
Definición técnica Continuous assurance in AI governance refers to the ongoing, systematic process of monitoring and evaluating AI systems and governance controls in real time or near-real time,…
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,…
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…
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…
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…
AI Agent Measurement — Evaluation Beyond Model Testing
Definición técnica AI agent measurement refers to the systematic evaluation of agentic AI system behavior, performance, safety, and compliance — going beyond the testing of individual models to…
AI Robustness — Resilience Testing and Requirements for AI Systems
Definición técnica AI robustness refers to the ability of an AI system to maintain its intended performance and behavior under a range of challenging conditions — including noisy…
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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