Data Lineage — Provenance and Traceability for AI Training Data
Definición técnica Data lineage in AI systems refers to the documented record of where data originates, how it has been transformed, what processes have been applied to it,…
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Definición técnica Data lineage in AI systems refers to the documented record of where data originates, how it has been transformed, what processes have been applied to it,…
Definición técnica Data minimization is the data protection principle, enshrined in GDPR Article 5(1)(c), that personal data must be adequate, relevant, and limited to what is necessary in…
Definición técnica Data poisoning is an adversarial attack on AI systems in which an attacker manipulates the training data to cause the model to learn incorrect patterns, produce…
Definición técnica A Large Language Model (LLM) is a type of deep learning AI model trained on large-scale text corpora to understand, generate, and transform natural language. LLMs…
Definición técnica Privacy by Design (PbD) is the principle and practice of integrating data protection and privacy considerations into the design of systems, processes, and products from the…
Definición técnica Pseudonymization is a data processing technique defined in GDPR Article 4(5) as the processing of personal data in such a way that it can no longer…
Definición técnica An adversarial attack is a deliberate attempt to manipulate an AI system's behavior by crafting inputs that cause the model to produce incorrect or attacker-desired outputs,…
Definición técnica An Agentic AI Governance Framework is a structured set of principles, requirements, and controls specifically designed for the governance of autonomous and multi-agent AI systems —…
Definición técnica Technical documentation, in the context of the EU AI Act, refers to the comprehensive set of documents that providers of high-risk AI systems must prepare and…
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