AI System Characteristics

AI Technical System Attributes - AI Technical System Attributes refer to the specific characteristics, functionalities, and methodologies that define the operation and capabilities of artificial intelligence systems. These attributes encompass various elements such as adaptiveness, learning paradigms, human-centered considerations, and technical architectures that collectively determine the system's performance and alignment with human values

Class Information

JSON JSON-LD OWL XML Markdown

Identification

IRI: https://folio.openlegalstandard.org/RqLTf7YnPRDUOTT48SvclX
Label (rdfs): AI Technical System Attributes
Preferred Label: AI System Characteristics
Alternative Labels: Intelligent System Attributes
Identifier: N/A

Definition and Examples

Definition: AI Technical System Attributes refer to the specific characteristics, functionalities, and methodologies that define the operation and capabilities of artificial intelligence systems. These attributes encompass various elements such as adaptiveness, learning paradigms, human-centered considerations, and technical architectures that collectively determine the system's performance and alignment with human values
Examples: N/A

Translations

N/A

Class Relationships

Sub Class Of: Artificial Intelligence System Taxonomy
Parent Class Of: AI System

AI Model

Neural Network

Expert System

Federated Learning

Adaptive Learning

Human-Centric AI

Human Values For AI
Is Defined By: N/A
See Also: N/A

Additional Information

Comment: N/A
Description: N/A
Notes: N/A
Deprecated: False

Metadata

History Note: N/A
Editorial Note: N/A
In Scheme: N/A
Source: N/A
Country: N/A

Graph