Inference
Çıkarım
D1
In this glossary’s operational sense, inference is the use of a deployed model to derive outputs from new inputs.
Review status: 2027-02-23
Technical explanation
In operation, it connects an input to outputs such as predictions, content, recommendations, or decisions.
Conceptual boundaries
This runtime sense differs from the memorandum’s broader use of inference, which can also refer to deriving a model during the build phase.
Provider-neutral example
When a trained classifier receives a new message and suggests billing, it is performing inference.
Limitations
This entry uses the runtime sense of inference: a deployed model derives outputs from new inputs.
Related concepts
Atomic claims and evidence
1.1OECD, Explanatory Memorandum on the Updated OECD Definition of an AI System
- Source
- OECD, Explanatory Memorandum on the Updated OECD Definition of an AI System
- Source role
- Authoritative source
- Exact locator
- AI model, p. 7; Inferring how to generate outputs, p. 8
- Supported claim
- In this glossary’s operational sense, inference is the use of a deployed model to derive outputs from new inputs.
- Last verification
- Review due
- Scope limitation
- The OECD memorandum also uses inference in the build phase when a model is derived from inputs or data.
2.1Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Source
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Source role
- Authoritative source
- Exact locator
- Article 3(33)
- Supported claim
- An AI system’s input data are data provided to or directly acquired by the system on the basis of which it produces an output.
- Last verification
- Review due
- Scope limitation
- The claim concerns the relation between input and output, not the correctness of the output.