AI Glossary
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Data used to teach an AI model during its development.
A template published by the EU AI Office according to which providers of GPAI models disclose a sufficiently detailed overview of the main sources of training data, so that rights holders can exercise their rights.
A dataset used to train AI models.
The automated collection of content from the internet for the purpose of training models; it raises questions of compliance with copyright law.
The provision of personal data outside the European Economic Area.
A fair use factor assessing whether a new use adds a different purpose or character compared to the original work. In the Bartz case, training a model was deemed highly transformative.
A type of neural architecture on which modern language models are built. It processes input data in parallel and uses an attention mechanism to determine the relationships between elements of the text.
Rules determining how and from when obligations apply to systems and models already placed on the market before the individual parts of the regulation take effect.
A part of the code applying to all providers of GPAI models that clarifies how to meet the information obligations under Article 53, in particular by providing documentation to downstream providers and the AI Office.
Verification of an AI system in a limited and controlled environment before wider deployment.
A concept of AI that is lawful, ethical, and technically robust; it includes, among other things, respect for fundamental rights, transparency, fairness, and human oversight.
An environment in which rules, oversight and user trust support the uptake of responsibly developed and deployed AI; a goal toward which European regulation is directed.
An intergovernmental set of value-based principles for trustworthy AI that has become a reference point for many national and supranational frameworks and unifies the basic terminology.
A method of calculating a penalty in which the maximum fine is based on a company's total worldwide annual turnover, so that the sanction remains effective even against large companies.