AI

{
  "id": "MLC-T-CYB-000125",
  "term": "AI",
  "field": "Cybersecurity",
  "definition": "1. (1) Any artificial system that performs tasks under varying and unpredictable circumstances without significant human oversight, or that can learn from experience and improve performance when exposed to data sets. (2) An artificial system developed in computer software, physical hardware, or other context that solves tasks requiring human-like perception, cognition, planning, learning, communication, or physical action. (3) An artificial system designed to think or act like a human, including cognitive architectures and neural networks. (4) A set of techniques, including machine learning, that is designed to approximate a cognitive task. (5) An artificial system designed to act rationally, including an intelligent software agent or embodied robot that achieves goals using perception, planning, reasoning, learning, communicating, decision making, and acting.\n\n2. A machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments.\n\n3. SCAP constructs to uniquely identify assets (components) based on known identifiers and/or known information about the assets.\n\n4. The use of attributes and methods to uniquely identify an asset.\n\n5. The attributes and methods necessary for uniquely identifying a given asset. A full explanation of asset identification is provided in [NISTIR 7693].",
  "expansions": [
    "artificial intelligence",
    "Asset Identification"
  ],
  "references": [
    "CNSSI 4009-2022 from PL 115-232, Sec. 238",
    "NIST SP 800-218A from E.O. 14110",
    "NIST SP 800-128",
    "NISTIR 7693",
    "NISTIR 7694",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/ai/"
}