Artificial intelligence
Yapay zekâ
D1
Artificial intelligence is a broad field of techniques for building computerized systems that can learn, solve problems, and autonomously pursue goals under varying conditions.
Review status: 2027-02-23
Technical explanation
It covers approaches such as machine learning and knowledge-based methods, and its practical scope may be tailored to context.
Conceptual boundaries
AI is an umbrella field, whereas an AI system is a particular machine-based system; the field includes more than one technical approach.
Provider-neutral example
A team may use an ML-based classifier to route support messages while retaining people to resolve uncertain cases.
Limitations
A practical definition may need to be narrowed or tailored for the context in which it is used.
Related concepts
Atomic claims and evidence
1.1NIST SP 1500-18r2, NIST Research Data Framework Version 2.0
- Source
- NIST SP 1500-18r2, NIST Research Data Framework Version 2.0
- Source role
- Authoritative source
- Exact locator
- Process/Analyze: Modeling, ML, AI definition, p. 24
- Supported claim
- AI is a field in which computerized systems can learn, solve problems, and autonomously pursue goals under varying conditions.
- Last verification
- Review due
- Scope limitation
- This is a broad descriptive framing, not a capability or safety guarantee for an individual system.
2.1OECD, 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
- Topics typically encompassed by AI, p. 5; Application of the updated definition, p. 9
- Supported claim
- AI encompasses multiple approaches, including machine-learning and knowledge-based approaches, and its practical scope may need to be tailored to context.
- Last verification
- Review due
- Scope limitation
- The claim concerns terminology and context-specific scope, not whether a particular product should be classified as AI.