Subset: AiSubset
All entities from the DPV ai extension.
URI: AiSubset
Identifier and Mapping Information
Schema Source
- from schema: https://w3id.org/lmodel/dpv/ai
Classes in subset
| Class | Description |
|---|---|
| ActionRecognition | Capability to recognise actions |
| AdversarialAttack | Inputs designed to cause the model to make a mistake |
| AGI | Type of AI system that addresses a broad range of tasks with a |
| AIAgent | An AI Agent, also known as an 'intelligent agent', is a software agent |
| AiAI | A technical and scientific field devoted to the engineered system that |
| AiAISystem | An engineered system that generates outputs such as content, forecasts, |
| AIBias | Bias associated with development, use, or other activities involving an |
| AiBiometricCategorisation | Capability involving assigning natural persons to specific categories |
| AiBiometricIdentification | Capability involving automated recognition of physical, physiological |
| AiCapability | Capability or use of AI to achieve a technical goal or objective |
| AiData | Data involved in the development and use of an AI system or model |
| AiDataAggregationBias | Bias that occurs from aggregating data covering different groups of |
| AiDataBias | Bias that occurs due to unaddressed data properties that lead to AI |
| AiDataRisk | Risk associated with data used or produced or otherwise involved in the |
| AiEmotionRecognition | Capability for identifying and categorising emotions expressed in a |
| AiGPAIModel | A model that displays generality in terms of capabilities and potential |
| AiInformativenessBias | Bias that occurs or some groups, the mapping between inputs present in |
| AiLifecycleStage | A stage in the lifecycle of AI |
| AiModel | Physical, mathematical or otherwise logical representation of a system, |
| AIProcess | A process involving AI technologies |
| AiProfiling | Capability where AI is used to construct a profile of an individual |
| AiRiskConcept | Risk concepts such as risk sources, risks, consequences, and impacts |
| AiSecurityAttack | Risks or issues associated with security attacks related to AI |
| AISystemRisk | Risks associated with AI Systems |
| AiTestingData | Data involved in the testing of an AI system or model |
| AiTrainingData | Data involved in the training of an AI system or model |
| AiValidationData | Data involved in the validation of an AI system or model |
| AlgorithmSelectionBias | Bias that occurs from the selection of machine learning algorithms built |
| AudioCapability | Capabilities related to the processing and generation of audio |
| AudioGeneration | Capability to generate audio |
| AudioProcessing | Technique involving processing audio |
| AutomaticSummarisation | Capability for shortening a portion of content such as text while |
| AutomationBias | Bias that occurs due to propensity for humans to favour suggestions from |
| BayesianEstimation | Refers to Bayesian estimation approach |
| BayesianNetwork | Probabilistic technique that uses Bayesian inference for probability |
| BayesianOptimisation | Refers to Bayesian optimisation technique |
| BehaviourAnalysis | Capability of a system in analysing people's behaviour |
| Benchmarking | Measure where performance and outputs are compared to best practices, |
| BiasAssessment | Examination of a data set, model, or AI system for bias |
| BiasDetection | Indicates measures to detect bias |
| BiasMitigation | Indicates measures to mitigate bias |
| BiasPrevention | Indicates measures to prevent bias |
| BiometricCapability | Capability involving processing of biometric data or related to |
| BiometricEmotionRecognition | Capability for recognising emotions based on biometrics information |
| ChatbotCapability | Capability to simulate human-like conversation with a user through |
| CognitiveComputing | Category of AI systems that enables people and machines to interact more |
| ComputationalCreativity | computer systems that emulate human creative processes and produce |
| ComputerVision | Capability of a functional unit to acquire, process and interpret data |
| ContentBasedRetrieval | Capability for retrieval of information using the actual content to |
| ContentGeneration | Capability to generate new content that is distinct from merely deriving |
| ContextAwareRetrieval | Capability for retrieval of information that takes into account the |
| ContinuousValidationStage | The stage in the lifecycle where there is continuous learning within the |
| ConvolutionalNeuralNetwork | Feed forward neural network using convolution in at least one of its |
| CyberphysicalSystem | Engineered system built from, and depending upon, the seamless |
| DataAggregation | Processing operation where data is aggregated, e |
| DataAnnotation | Processing operation where data is annoated, e |
| DataCleaning | Processing operation where data is cleaned, e |
| DataCollection | Processing operation where data is collected, e |
| DataEnrichment | Processing operation where data is enriced, e |
| DataLabelling | Processing operation where data annotation is carried out through |
| DataLabellingProcessBias | Bias that occurs due to the labelling process itself introducing |
| DataOperation | Processing of data for the development or use of AI models |
| DataPoisoning | Attack trying to manipulate the training dataset |
| DataPreparation | Processing operation where data is prepared, e |
| DataUpdating | Processing operation where data is updated, e |
| DecisionTree | Technique for which inference is encoded as paths from the root to a |
| DecommissionStage | The stage in the lifecycle where the AI system is being decommissioned |
| DeepLearning | Approach to creating rich hierarchical representations through the |
| DeploymentStage | The stage in the lifecycle where the AI system is installed, released or |
| DesignStage | The stage in the lifecycle where designs are created for the AI system |
| DevelopmentStage | The stage in the lifecycle where the development and creation of the |
| DialogueManagement | Capability for shortening a portion of content such as text while |
| DiscardStage | The stage in the lifecycle where the AI system is being discarded as |
| DistributedTrainingBias | Bias that occurs due to distributed machine having different sources of |
| EdgeAI | The deployment and execution of AI and ML models on Edge devices, |
| EngineeringDecisionBias | Bias that occurs due to machine learning model architectures - |
| ExpertSystem | AI system that accumulates, combines and encapsulates knowledge provided |
| ExplainabilityRisk | Risk that an AI's decisions or behaviors cannot be adequately |
| FaceRecognition | Capability involving automatic pattern recognition for comparing stored |
| FeatureEngineeringBias | Bias that occurs from steps such as encoding, data type conversion, |
| FeedForwardNeuralNetwork | Neural network where information is fed from the input layer to the |
| FineTunedModel | Model resulting from fine-tuning of a pre-trained model |
| FrugalAISystem | AI systems intended to be more efficient, cost-effective, and accessible |
| FrugalMachineLearning | Machine learning techniques that aim to make models more efficient, |
| GenAI | Use of artificial intelligence models that can learn from and mimic |
| GeneticAlgorithm | Algorithm which simulates natural selection by creating and evolving a |
| GestureRecognition | Capability for recognising human gestures |
| GPAI | Artificial intelligence system based on a general-purpose model and |
| HeuristicProgramming | Programming approach designed to tackle problems for which there lacks a |
| HumanIdentification | Capability of a system that identifies a human whether at an individual |
| HumanOrientedCapability | Capabilities that are inherently about humans or oriented towards human |
| HyperparameterTuningBias | Bias that occurs from hyperparameters defining how the model is |
| ImageClassification | Capability of categorising and labelling groups of pixels or vectors |
| ImageGeneration | Capability to generate image |
| ImageRecognition | Capability for image classification process that classifies object(s), |
| InceptionStage | The stage in the lifecycle where inception regarding AI occurs and one |
| IncidentMonitoringStage | The stage in the lifecycle where an AI system is actively being |
| InductiveProgramming | An algorithm or program featuring recursive calls or repetition control |
| IndustrialRobot | A robot or robotic system for use in industrial automation applications |
| InformationRetrieval | Capability for retrieving relevant documents or parts of documents from |
| InputDataBias | Concept representing input data containing or potentially containing |
| InputDataInaccurate | Concept representing input data being inaccurate |
| InputDataInappropriate | Concept representing input data being inappropriate |
| InputDataIncomplete | Concept representing input data being incomplete |
| InputDataInconsistent | Concept representing input data being inconsistent |
| InputDataMisclassified | Concept representing input data being misclassified |
| InputDataMisinterpretation | Concept representing input data being misinterpreted |
| InputDataNoise | Concept representing input data being noisy |
| InputDataOutdated | Concept representing input data being outdated |
| InputDataRisk | Risks and risk concepts related to input data |
| InputDataSelectionError | Concept representing an error in input data selection |
| InputDataSparse | Concept representing input data being sparse |
| InputDataUnrepresentative | Concept representing input data being unrepresentative |
| InputDataUnstructured | Concept representing input data being unstructured |
| InputDataUnverified | Concept representing input data being unverified |
| IntelligentControlSystem | Category of AI systems which implement intelligent control principles |
| KnowledgeRepresentation | Encoding knowledge in a formal language or in a form that can be used |
| KnowledgeTechnique | Techniques based on the use of knowledge bases |
| LanguageCapability | Capabilities related to languages |
| LieDetection | Capability to detect lies in the context of human speech, behaviour, |
| LLM | Deep learning model that uses artificial neural networks trained on vast |
| LocalBiometricIdentification | Capability involving biometric identification carried out locally |
| LogicTechnique | Refers to logic based techniques |
| LongShortTermMemory | Type of recurrent neural network that processes sequential data with a |
| MachineLearning | Process of optimising model parameters through computational techniques, |
| MachineLearningModel | Mathematical construct that generates an inference or prediction based |
| MachineLearningPlatform | Technology platform for developing, deploying, and managing machine |
| MachineTranslation | Capability for automated translation of text or speech from one natural |
| MissingFeaturesBias | Bias that occurs when features are missing from individual training |
| ModelBias | Bias that occurs when ML uses functions like a maximum likelihood |
| ModelEvasion | An input, which seems normal for a human but is wrongly classified by ML |
| ModelExpressivenessBias | Bias that occurs from the number and nature of parameters in a model as |
| ModelFineTuning | Process where a pre-trained model is further refined through the use of |
| ModelInteractionBias | Bias that occurs from the structure of a model to create biased |
| ModelInversion | A type of attack to AI models, in which the access to a model is abused |
| ModelRisk | Risks associated with AI Models |
| ModelTraining | Process to determine or to improve the parameters of a machine learning |
| MotionAnalysis | Capability of deriving meaningful information about motion from visual |
| MultiModalRetrieval | Capability for retrieval of information using multiple modalities such |
| MusicInformationRetrieval | Capability for retrieving, analysing, and categorising music-related |
| NamedEntityRecognition | Capability for recognising and labelling the denotational names of |
| NarrowAI | Type of AI system that is focused on defined tasks to address a specific |
| NaturalLanguageGeneration | Converting data carrying semantics into natural language |
| NaturalLanguageProcessing | Capability enabling computers to understand and communicate with human |
| NeuralNetwork | Network of one or more layers of neurons connected by weighted links |
| NonRepresentativeSamplingBias | Bias that occurs if a dataset is not representative of the intended |
| ObjectDetection | computer vision technology that detects instances of semantic objects in |
| ObjectRecognition | Capability to recognise objects |
| OperationStage | The stage in the lifecycle where an AI system is running and generally |
| OptimisationMethod | Refers to optimisation Method |
| PartOfSpeechTagging | Capability for assigning a category (e |
| PatternRecognition | Capability for automated identification of patterns and regularities in |
| PerceptionBasedAI | Capability of using agents to interpret and understand information from |
| PersonalityTraitAnalysis | Capability for determining and analysing people's personality traits |
| PostTimeBiometricIdentification | Capability involving biometric identification carried out later or not |
| QuestionAnswering | Capability for determining the most appropriate answer to a question |
| RealTimeBiometricIdentification | Capability involving biometric identification carried out in real-time |
| ReasoningSystem | Artificial intelligence systems that uses available information to |
| ReasoningTechnique | Refers to reasoning techniques |
| RecurrentNeuralNetwork | Neural network in which outputs from both the previous layer and the |
| ReevaluationStage | The stage in the lifecycle where the AI system is reevaluated after the |
| ReinforcementLearning | Learning of an optimal sequence of actions to maximise a reward through |
| RelationshipExtraction | Capability for identifying relationships among entities mentioned in a |
| RemoteBiometricIdentification | Capability involving biometric identification carried out remotely |
| RemoteSensing | Capability for acquisition of information about an object or phenomenon |
| RepairStage | The stage in the lifecycle where an AI system is being repaired due to |
| ReplaceStage | The stage in the lifecycle where the AI system is being replaced as part |
| RetirementStage | The stage in the lifecycle where the AI system is retired and becomes |
| Robot | An automation system with actuators that performs intended tasks in the |
| RoboticProcessAutomation | Technology focused on automation of repetitive, routine, rule-based |
| Robotics | The science of designing, engineering and using robots, i |
| RuleBasedTechnique | Artificial intelligence approach governed by human-defined rules that |
| SearchMethod | Refers to statistical-based search Methods |
| SelfSupervisedLearning | Machine learning approach that uses unsupervised learning for tasks that |
| SemiSupervisedLearning | Machine learning that makes use of both labelled and unlabelled data |
| SentimentAnalysis | Capability for computationally identifying and categorising opinions |
| ServiceRobot | A robot or robotic system in personal use or professional use that |
| SocialRobot | A robot or robotic system with social interaction functions |
| SoundSourceSeparation | Capability for extracting individual sound from audio recordings |
| SoundSynthesis | Capability for generation of artificial sound |
| SpeakerRecognition | Capability of recognising speaker(s) in audio recordings |
| SpeechRecognition | Capability of converting a speech signal to a representation of the |
| SpeechSynthesis | Capability for generation of artificial speech |
| StatisticalTechnique | Refers to techniques that are based on statistics |
| SupervisedLearning | Machine learning that makes only use of labelled data during training |
| SupportVectorMachine | A machine learning algorithm that finds decision boundaries with maximal |
| SymbolicReasoning | Reasoning based on the knowledge encoded in a formal language |
| Technique | The underlying technological algorithm, method, or process that forms |
| TestingDataBias | Concept representing testing data containing or potentially containing |
| TestingDataInaccurate | Concept representing testing data being inaccurate |
| TestingDataInappropriate | Concept representing testing data being inappropriate |
| TestingDataIncomplete | Concept representing testing data being incomplete |
| TestingDataInconsistent | Concept representing testing data being inconsistent |
| TestingDataMisclassified | Concept representing testing data being misclassified |
| TestingDataMisinterpretation | Concept representing testing data being misinterpreted |
| TestingDataNoise | Concept representing testing data being noisy |
| TestingDataOutdated | Concept representing testing data being outdated |
| TestingDataRisk | Risks and risk concepts related to testing data |
| TestingDataSelectionError | Concept representing an error in testing data selection |
| TestingDataSparse | Concept representing testing data being sparse |
| TestingDataUnrepresentative | Concept representing testing data being unrepresentative |
| TestingDataUnstructured | Concept representing testing data being unstructured |
| TestingDataUnverified | Concept representing testing data being unverified |
| TextClassification | Capability of assigning predefined labels to text data in order to |
| TextDataMining | Capability of selecting and analysing large amounts of text or data |
| TrainedModel | Model resulted from model training |
| TrainingTechnique | Process to determine or to improve the parameters of a machine learning |
| TransferLearning | a technique in machine learning in which knowledge learned from a task |
| TransparencyRisk | Risk that an AI's design, performance, outputs, or other characteristics |
| UnsupervisedLearning | Machine learning that makes only use of unlabelled data during training |
| UpdateStage | The stage in the lifecycle where an AI system is being or has been |
| UserRisk | Risks associated with Users of AI Systems |
| ValidationDataBias | Concept representing validation data containing or potentially |
| ValidationDataInaccurate | Concept representing validation data being inaccurate |
| ValidationDataInappropriate | Concept representing validation data being inappropriate |
| ValidationDataIncomplete | Concept representing validation data being incomplete |
| ValidationDataInconsistent | Concept representing validation data being inconsistent |
| ValidationDataMisclassified | Concept representing validation data being misclassified |
| ValidationDataMisinterpretation | Concept representing validation data being misinterpreted |
| ValidationDataNoise | Concept representing validation data being noisy |
| ValidationDataOutdated | Concept representing validation data being outdated |
| ValidationDataRisk | Risks and risk concepts related to validation data |
| ValidationDataSelectionError | Concept representing an error in validation data selection |
| ValidationDataSparse | Concept representing validation data being sparse |
| ValidationDataUnrepresentative | Concept representing validation data being unrepresentative |
| ValidationDataUnstructured | Concept representing validation data being unstructured |
| ValidationDataUnverified | Concept representing validation data being unverified |
| ValidationStage | The stage in the lifecycle where the AI system is validated for |
| VerificationStage | The stage in the lifecycle where the AI system is being verified to |
| VideoGeneration | Capability to generate video |
| VisualRecognition | Capability that identifies and categorises objects, scenes, activities, |
Slots in subset
| Slot | Description |
|---|---|
| ai_has_capability | Indicates the use of AI capability for the associated context |
| ai_has_data | Associates data with an AI system or model or implementation |
| ai_has_model | Indicates the use of an AI model for the associated context |
| has_ai | Indicates the use of AI for the associated context |
| has_ai_system | Indicates the use of AI system for the associated context |
| has_gpai_model | Indicates the use of an GPAI model for the associated context |
| has_technique | Indicates the use of AI technique for the associated context |
| has_testing_data | Associates the data used for testing AI |
| has_training_data | Associates the data used for training AI |
| has_validation_data | Associates the data used for validating AI |