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