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ホームAI用語集Ethics & Safety幻覚とは何か

AI用語集

0-9
1-shot learning2-stage detector3D Reconstruction3D convolution4D data5G + AI6DoF pose estimation7D representation8-bit quantization9-layer network0-shot learning
A
A/B TestingAccountabilityAccuracyAcoustic ModelingActivation FunctionsActive LearningActor-Critic MethodsActuatorsAdaDeltaAdaGradAdam OptimizerAdjusted R-SquaredAdversarial AttacksAffordance LearningAgent-Based ModelingAgentic AI / Autonomous AgentsAgentic AI FrameworksAgglomerative ClusteringAGI / Artificial General IntelligenceAI AcceleratorsAI Act (EU)AI AgentsAI AlignmentAI and BiasAI and SustainabilityAI APIsAI Art GenerationAI AssistantsAI AuditAI AuditingAI Bill of Rights (US Blueprint)AI ContainmentAI DemocratizationAI Ethics BoardsAI Ethics GuidelinesAI Feature StoreAI for Climate ChangeAI Generated ContentAI Governance FrameworksAI GuardrailsAI HallucinationsAI in Healthcare EthicsAI in WarfareAI LegislationAI LiteracyAI MarketplacesAI Model GovernanceAI Model HubAI Model RegistryAI Model WeightsAI Music GenerationAI OrchestrationAI PolicyAI RegulationsAI SafetyAI SecurityAI SingularityAI Transparency ReportAI WatermarkingAI WinterAI Workflow AutomationAI-as-a-ServiceAlan TuringAlgorithmic AccountabilityAlgorithmic Bias MitigationAlgorithmic DiscriminationAlgorithmic TransparencyAndrew NgAnomaly DetectionAnomaly Detection in SecurityAnthropicApache KafkaAPI DevelopmentAPI EndpointsApriori AlgorithmArtificial General Intelligence (AGI)Artificial Neural NetworksArtificial SuperintelligenceASICsAssociation Rule LearningAsynchronous Advantage Actor-CriticAttention MechanismsAUCAudio ClassificationAudio Signal ProcessingAugmented RealityAuthenticationAuthorizationAutoencodersAutomated ReasoningAutomatic Speech Recognition (ASR)AutomationAutoMLAutonomous NavigationAutoregressive ModelsAlgorithmAutoencoderArtificial Intelligence (AI)Attention
B
Bag-of-Words ModelBaggingBatch SizeBayesian InferenceBayesian NetworksBayesian OptimizationBERTBias in AIBias-Variance TradeoffBig DataBig Data TechnologiesBiometric SecurityBLEU ScoreBlockchain in AIBox PlotByte-Pair Encoding (BPE)BackpropagationBatch NormalizationBoostingBias
C
CaffeCalculusCalibrationCalifornia Consumer Privacy Act (CCPA)Canary DeploymentCapsule NetworksCarbon Footprint of AICase-Based ReasoningCatastrophic ForgettingCentral Limit TheoremChain-of-ThoughtChinese Room ArgumentClass ImbalanceClassificationCloud AI PlatformsCloud ComputingClustering AlgorithmsCNN / Convolutional Neural NetworkCode Generation ModelsCognitive ArchitecturesCognitive ComputingCohereColab NotebooksCollaborative FilteringColor SpacesComplex AnalysisComplianceCompliance Standards (ISO IEEE)Computational ComplexityComputational Fluid DynamicsComputational Theory of MindCompute-Optimal ModelsConcept DriftConceptual GraphsConditional ProbabilityConfusion MatrixConsciousness in AIConsistency ModelsConstitutional AIConstraint Satisfaction ProblemsContainerizationContent-Based FilteringContext WindowContinual LearningContinuous Integration/Continuous Deployment (CI/CD)Control SystemsConversational AIConvolutional Neural NetworksCOPPACoreference ResolutionCorrelationCorrelation MatrixCost-Sensitive LearningCross-Entropy LossCurriculum LearningCyber Threat IntelligenceCybersecurity RegulationsClusteringCross-ValidationChatbotClassifier / Classification
D
DALL·EData AnnotationData CatalogData CentersData CleaningData DriftData GovernanceData IngestionData IntegrationData LabelingData LakeData LakesData LeakageData LineageData MiningData PipelineData PoisoningData PreprocessingData PrivacyData ProtectionData Protection LawsData QualityData SecurityData SovereigntyData TransformationData VersioningData VisualizationData Visualization TechniquesData WarehousingDatabases for AIDavies-Bouldin IndexDBSCANDecision Boundary VisualizationDecision TreesDeep Belief NetworksDeep Q-NetworksDeep Reinforcement LearningDeepfakesDeepfakeDeepMindDemis HassabisDependency ParsingDepth EstimationDescriptive StatisticsDialogue SystemsDifferential EquationsDifferential EvolutionDifferential PrivacyDiffusion ModelsDigital DivideDigital ProvenanceDigital TwinsDimensionality ReductionDirect Preference Optimization (DPO)Discourse AnalysisDiscrete Event SimulationDiscrete MathematicsDisinformationDistributed ComputingDistributed File SystemsDistributed TrainingDockerDronesDropoutDropout RegularizationDynamical SystemsDeep LearningData AugmentationDeterministic ModelDiscriminative Model
E
Early StoppingEdge AIEdge ComputingEdge DetectionEigenvalues and EigenvectorsElon MuskEmbedding SizeEmbeddingsEmbodied AIEmergent AbilitiesEmotion RecognitionEnsemble MethodsEpisodic MemoryEpochEthical AIEthical AI GuidelinesEthical AuditingEthical Decision-MakingEthical DilemmasEthical FrameworksEthics of AIETL ProcessesEvolutionary AlgorithmsExistential RiskExpectation-MaximizationExpectation-Maximization AlgorithmExpected Calibration ErrorExpert SystemsExplainabilityExploration vs. ExploitationExploratory Data AnalysisExport ControlsEnsemble LearningEncoderExplainable AI (XAI)Embedding
F
F1 ScoreFacial RecognitionFairnessFastAIFeature EngineeringFeature ImportanceFeature SelectionFeature StoreFeature StoresFederated LearningFei-Fei LiFew-Shot LearningFinite Element AnalysisFirst-Order LogicFlow MatchingForce ControlFoundation Model EconomyFoundation ModelsFourier TransformFPGAsFrame LanguagesFunctional AnalysisFine-tuningForward PropagationFusion / Multimodal FusionFoundation ModelFeature Extraction
G
Game Playing AIGame TheoryGame Theory SimulationsGAN / Generative Adversarial NetworkGated Recurrent UnitsGaussian Mixture ModelsGeneral Data Protection Regulation (GDPR)Generative Adversarial NetworksGenerative ModelsGenetic AlgorithmsGensimGeoffrey HintonGlobal CooperationGPT ModelsGrad-CAMGradient Boosting MachinesGradient ClippingGraph Neural NetworksGraph TheoryGraphics Processing Units (GPUs)Grid SearchGroundingGraph Neural Network (GNN)Gradient DescentGenerative AI
H
HadoopHeatmapHelpHeuristic AlgorithmsHidden Markov ModelsHierarchical Reinforcement LearningHigh-Performance ComputingHIPAAHistogramHOGHPC ClustersHugging FaceHugging Face TransformersHuman RightsHuman-in-the-LoopHuman-Robot InteractionHyperparameter OptimizationHyperparameter TuningHyperparameterHeuristicHidden LayerHierarchical ModelHallucination
I
Ilya SutskeverImage CaptioningImage ClassificationImage RecognitionImage SegmentationImpact on EmploymentIn-Context LearningIndustrial RobotsInferenceInference EnginesInference OptimizationInferential StatisticsInformation TheoryInformed ConsentInfrastructure as CodeInstance SegmentationInstruction tuningIntellectual Property RightsIntelligent AgentsIntrusion Detection SystemsInverse Reinforcement LearningInstance / SampleIntelligence Amplification / AugmentationInterpretabilityImbalanced Data
J
JAXJohn McCarthyJoint Probability DistributionJSONL / JSON-linesJuergen SchmidhuberJupyter NotebooksJitteringJoint EmbeddingJuxtaposition
K
K-Nearest NeighborsK-Shot LearningK-means ClusteringKai-Fu LeeKalman FiltersKerasKL Divergence (Kullback–Leibler Divergence)Knowledge CutoffKnowledge GraphsKnowledge RepresentationKubernetesKernel TrickKnowledge Distillation
L
L1 RegularizationL2 RegularizationLabel SmoothingLanguage ModelingLanguage ModelsLaplace TransformLarge Language Models (LLMs)Large Multimodal ModelsLatent Dirichlet AllocationLatent SpaceLaw of Large NumbersLayer NormalizationLearning CurveLearning Rate DecayLearning Rate SchedulingLemmatizationLIMELinear AlgebraLinear RegressionLog LossLogic ProgrammingLogistic RegressionLong Short-Term Memory NetworksLong-Context ModelsLoRA (Low-Rank Adaptation)LSTM / Long Short-Term MemoryLearning RateLatent VariableLoss FunctionLarge Language Model (LLM)
M
Machine ConsciousnessMachine TranslationMarkov Chain ModelsMarkov Chain Monte CarloMarkov Decision ProcessesMarkov ModelsMarvin MinskyMasked Language ModelsMaster Data ManagementMatplotlibMatrix DecompositionMCPMean Absolute ErrorMean Squared ErrorMechanistic InterpretabilityMel-Frequency Cepstral Coefficients (MFCCs)Metadata ManagementMicroservicesMidjourneyMind UploadingMini ToolMini-Batch Gradient DescentMixture of Experts (MoE)MLOpsMobile RobotsModel CardsModel CompressionModel DeploymentModel DriftModel Explainability ToolsModel MonitoringModel ServingModel StealingMomentum OptimizationMonitoring and LoggingMonte Carlo MethodsMonte Carlo SimulationsMoral MachinesMotion DetectionMotion PlanningMulti-Armed Bandit ProblemMultimodal AIMusic Information RetrievalMXNetMulti-head AttentionMultimodal / MultimodalityMeta-learningModelMachine Learning (ML)
N
n-GramsNaive Bayes AlgorithmNaive Bayes ClassifierNamed Entity RecognitionNatural Language Generation (NLG)Natural Language ProcessingNatural Language Processing (NLP)Natural Language UnderstandingNesterov Accelerated GradientNetwork SimulationsNeural Architecture SearchNeural NetworksNeural Processing Unit (NPU)Neuromorphic ComputingNick BostromNLP / Natural Language ProcessingNLTKNLU / Natural Language UnderstandingNoise ReductionNoSQL DatabasesNumPyNVIDIA CUDANeural NetworkNovelty Detection / Anomaly DetectionNormalization
O
Object DetectionObject TrackingOne-hot EncodingOntologiesOpenAIOpenAI GPTOptical Character RecognitionOptimization TheoryOut-of-Distribution (OOD) DataOverfittingOptimizerOnline LearningObjective Function
P
PandasParallel ComputingParameter CountParameter-Efficient Fine-Tuning (PEFT)Part-of-Speech TaggingPartial Dependence PlotsPath PlanningPattern RecognitionPeople also viewedPerception in AIPerceptronPerplexityPeter NorvigPhilosophy of MindPhoneticsPipelinesPlanning and SchedulingPlotlyPolicy GradientsPolicy OptimizationPoolingPose EstimationPositional EncodingPragmaticsPrecisionPredictive ModelingPredictive ProbabilityPreference TuningPrincipal Component AnalysisPrivacyPrivacy-Preserving Machine LearningProbability Density FunctionsProbability TheoryProblem SolvingProcess ModelingProcess-Based SupervisionPrompt ChainingPrompt EngineeringPrompt InjectionPrompt MarketplacePrompt TemplatesPropositional LogicProximal Policy OptimizationPruningPyTorchParameterPretrainingPromptPolicy / Reinforcement Learning Policy
Q
Q-learningQLoRA (Quantized Low-Rank Adaptation)Quantum ComputingQuantum Machine LearningQuestion AnsweringQuestion Answering SystemsQueue / BufferQueryQuality EstimationQuantization
R
R-SquaredRandom ForestsRandom SearchRay KurzweilReal AnalysisReasoning EnginesRecallRecommender SystemsRecurrent Neural NetworksRed TeamingRegressionRegression AnalysisRegulatory ComplianceReinforcement Learning from Human FeedbackReinforcement Learning in RoboticsReproducibilityResponsible AIRetrieval-Augmented GenerationReward FunctionRMSpropRNN / Recurrent Neural NetworkRobot KinematicsRobot VisionRobotic ManipulationRobotic Operating System (ROS)Robotics TransformersRobustness in AI ModelsROC CurveRodney BrooksRoot Mean Squared ErrorRule-Based SystemsRetrieval Augmented Generation (RAG)Reinforcement Learning (RL)RegularizationRepresentation Learning
S
Saliency MapsSARSA AlgorithmScalable OversightScaling LawsScatter PlotScikit-LearnSciPySeabornSearch AlgorithmsSecure HardwareSecure Multi-Party ComputationSecure ProtocolsSelf-AttentionSelf-Driving CarsSemantic NetworksSemantic ParsingSemantic Role LabelingSemantic SegmentationSemantic WebSemi-Supervised LearningSensorsSentencePieceSentiment AnalysisSequence LabelingServerless ComputingServerless GPUsSet TheorySHAP ValuesSiamese NetworksSIFTSilhouette ScoreSimulated AnnealingSimulation HypothesisSimulation-to-Real Transfer (Sim2Real)Simultaneous Localization and Mapping (SLAM)SMOTESocial Acceptance of AISocial SimulationSoftmaxSOTA (State of the Art)spaCySparkSpeaker DiarizationSpectrogram AnalysisSpeech EnhancementSpeech RecognitionSpeech SynthesisSpiking Neural NetworksSQLStable DiffusionStackingState-Action PairsStatistical AnalysisStatistical DistributionsStatisticsStemmingStochastic Gradient DescentStochastic ModelingStochastic ProcessesStop WordsStream ProcessingStrong AIStrong vs. Weak AIStuart RussellStyle TransferSubword TokenizationSupport Vector MachinesSURFSurveillanceSwarm IntelligenceSymbolic AISynthetic Data GenerationSynthetic MediaSystem DynamicsSystem PromptSamplingSequence ModelingSupervised LearningSelf-Supervised Learning
T
t-SNETeacher ForcingTechnological SingularityTeleoperationTemperatureTemporal Difference LearningTensor Processing Units (TPUs)TensorFlowTesting and ValidationText SummarizationText-to-Audio GenerationText-to-Image GenerationText-to-Speech (TTS)Text-to-Video GenerationTF-IDFTheanoTime Series AnalysisTimnit GebruTinyMLToken LimitTokenizationTokensTool Use (LLMs)Topic ModelingTopologyTransformer ModelsTransformer NetworksTransparencyTransparency RequirementsTrust Region Policy OptimizationTrustworthy AITruthfulness (in LLMs)Turing TestTuning / Hyperparameter TuningTokenizerTransformerTraining DataTransfer Learning
U
U-NetUMAPUnmanned Aerial Vehicles (UAVs)Unmanned Ground VehiclesUnderfittingUniversal Approximation TheoremUnsupervised LearningUncertainty Estimation
V
Validation CurveValue FunctionVector DatabaseVersion Control for ModelsVibe code an AI ToolVideo Generation ModelsVirtual Reality SimulationsVision Transformer (ViT)Voice BiometricsVoice CloningVoice ConversionVector EmbeddingValidation SetVanishing / Exploding GradientVariational Autoencoder (VAE)
W
Warmup StepsWeak AIWeight DecayWord EmbeddingsWord Sense DisambiguationWordPieceWorld ModelsWhitening / Whitening TransformationWorkflowWord EmbeddingWeak Supervision
X
XAI / Explainable AIXLMXLNetXOR problemX-axis / feature axis
Y
Yoga of AIY-transform / YUVYAGNI (You Aren't Gonna Need It)Yann LeCunYoshua BengioY-axis / feature axisYield (model yield / throughput)
Z
Z-score NormalizationZero Trust ArchitectureZero-shot Learning / Zero-shot inferenceZero-gradient phenomenonZero-centric / Zero-bias initializationZygosity in augmentation

幻覚とは何か

Ethics & Safety
[wˌʌt ɪz hɐlˌuːsᵻnˈeɪʃən]
最終更新: 2025年10月15日

幻覚とは、外部の刺激がないにもかかわらず、個人が体験する感覚のことで、視覚、聴覚、嗅覚、触覚などのさまざまな感覚が含まれます。幻覚の原因は、精神的健康問題(例えば、統合失調症)、薬物の影響、極度の疲労や睡眠剥奪など、さまざまです。幻覚のメカニズムを理解することは、医療専門家が患者に効果的な治療計画を立てる上で非常に重要です。


幻覚の影響と重要性は深遠です。医療の分野では、幻覚の原因を認識することが適切な介入を設計するのに役立ちます。さらに、幻覚は心理学や神経科学の研究において重要な役割を果たし、人間の知覚や意識に対する洞察を提供します。例えば、研究によると、幻覚は心理的苦痛や神経的疾患によって引き起こされる可能性があり、精神的健康のより広い問題と関連しています。


未来のトレンドとしては、神経科学や心理学の進展が幻覚のメカニズムや治療法に関する研究を促進しています。研究者たちは、幻覚の理解が精神的健康治療を改善するのにどのように役立つかを探求しており、管理された条件下での幻覚剤の治療的応用についても研究しています。しかし、幻覚を体験することは、社会的な孤立、不安、その他の精神的健康問題などの否定的な結果をもたらす可能性があります。


要するに、幻覚を理解することは関連する障害を特定し治療するのに役立つ一方で、これらの経験は個人にとって重大な挑戦を引き起こす可能性があります。幻覚を経験している人々には、共感とサポートを持って接することが重要であり、彼らがスティグマを受けることなく適切なケアを受けられるようにするべきです。

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