Concept Drift: where reality changes while the model stays static
Concept drift requires re-specification, not just retraining. Zertia audits under ISO 42001 + EU AI Act.
Resources
Insights on AI Governance & Compliance
Explore our latest resources and practical guides to navigate the evolving landscape of AI compliance and regulation.
LATEST RESOURCES
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 Article 10 + fundamental rights.
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.
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.
Algorithmic Bias: where structural inequality enters the model output
Definición técnica Algorithmic bias refers to systematic and repeatable errors in AI systems that produce unfair, discriminatory, or skewed outcomes across demographic groups. It arises when patterns of…
AI Risk Assessment: where historical data stops being sufficient
AI risk assessment addresses emergent capabilities. Zertia audits under ISO 42001 + ISO 23894.
Systemic Risk: where individual model risk becomes market-wide risk
Systemic AI risk affects multiple deployers via shared models. Zertia audits GPAI under ISO 42001 + EU AI Act Articles 53-55.
AI Risk Management: where generic risk practice stops working for AI
Definición técnica What is AI Risk Management? AI risk management is the structured, continuous process of identifying, analyzing, evaluating, treating, and monitoring risks associated with artificial intelligence systems…
Frontier AI: where capability outruns the existing regulatory framework
Definición técnica Frontier AI refers to the most capable AI systems at the current leading edge of development — large-scale foundation models trained with state-of-the-art computational resources whose…
Global AI Red Lines: where international consensus attempts to draw limits
Definición técnica Global AI red lines refer to categories of AI applications, uses, and behaviors that a growing international consensus holds should be universally prohibited — not merely…
Responsible AI: where principles become operational practice
Definición técnica Responsible AI is a structured governance and ethical framework ensuring that AI systems are lawful, fair, transparent, accountable, safe, and aligned with societal values throughout their…
AI Governance: where AI responsibility stops being declarative and becomes operational
Definición técnica What is AI governance? AI governance is the system of policies, structures, processes, controls, and oversight mechanisms through which an organization manages the development, deployment, monitoring,…
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