The Translation Gap - Ehstand, Andreas (2026)
The difference between what one person means and what another person actually understands. Related to Axiom 10 (The Translation Principle), AUG-0067 (The Glass Wall Effect), and AUG-0133 (Prompt Cr...
Keywords: Human-AI Interaction; Creative AI

The Trust Setting - Ehstand, Andreas (2026)
The individually adjusted trust level a user extends to a particular AI system — based on past experience, domain knowledge, and contextual assessment. Related to Axiom 9 (Productive Skepticism), A...
Keywords: Human-AI Interaction; Creative AI

The Turing Suspicion - Ehstand, Andreas (2026)
A person experiences uncertainty when a third party about whether a text, message, or contribution was composed by a human or an AI — named after the Turing Test. Related to AUG-0272 (The Authorshi...
Keywords: Human-AI Interaction; Creative AI

The Utopia Projection - Ehstand, Andreas (2026)
The narrative that frames AI as a solution to basic human challenges — one of several possible narratives that potentially overemphasizes benefits and underemphasizes uncertainty. Related to AUG-08...
Keywords: Human-AI Interaction; Creative AI

The Voice Shift - Ehstand, Andreas (2026)
The change in one's own speaking style — not just writing style — through regular AI interaction, especially with voice-controlled use. Related to AUG-0455 (The Voice Enunciation), AUG-0573 (The Vo...
Keywords: Human-AI Interaction; Creative AI

The Words-Before-Words - Ehstand, Andreas (2026)
That moment when an idea is forming but has no shape yet — and using AI helps turn the vague feeling into actual words and sentences. Related to AUG-0156 (The Articulation Unlock) and AUG-0170 (The...
Keywords: Human-AI Interaction; Creative AI

The Written-Spoken Split - Ehstand, Andreas (2026)
The discrepancy between a user's written language and spoken language in AI interactions — some users formulate significantly differently in writing than they would speak, which correlates with different...
Keywords: Human-AI Interaction; Creative AI

Thermo-Semantic Weighting - Ehstand, Andreas (2026)
A way to judge AI-generated content by how relevant and fresh it is — hot topics are urgent right now, cold topics matter long-term but less urgently.
Keywords: Human-AI Interaction; Creative AI

Thinking Hospitality - Ehstand, Andreas (2026)
Welcoming and making space for different kinds of thoughts without pushing one answer. Related to Axiom 2 (Productive Divergence) and AUG-0019 (Semantic Ejection).
Keywords: Human-AI Interaction; Creative AI

Voice-First Protocol - Ehstand, Andreas (2026)
A creator primarily communicates with the AI by speaking rather than typing, marking a shift in how they interact with the tool — voice input.
Keywords: Human-AI Interaction; Creative AI

World-Access Effect - Ehstand, Andreas (2026)
In some places, phones are the only way to access the internet — and people use AI on phones in completely different ways than on computers.
Keywords: Human-AI Interaction; Creative AI

Zero-Marginal Cost of Creation - Ehstand, Andreas (2026)
The cost of producing another variant, another draft, or another perspective through AI approaches zero.. Related to AUG-0082 (The Curator's Dilemma), AUG-0092 (Output Asymmetry), and Forecast 4 (C...
Keywords: Human-AI Interaction; Creative AI

AI Selection Bias Blindness - Ehstand, Andreas (2026)
The condition where automated variable selection introduces systematic biases that reflect the training data's demographic composition rather than genuine predictive relationships.
Keywords: Human-AI Interaction; Data Science

Activation Function Opacity - Ehstand, Andreas (2026)
The use of nonlinear transformation functions in neural networks whose effects on information flow are not interrogated or tested.
Keywords: Human-AI Interaction; Data Science

Active Learning Budget Myopia - Ehstand, Andreas (2026)
The selection of samples for labeling through active learning without consideration of the opportunity costs of annotation resources.
Keywords: Human-AI Interaction; Data Science

Aggregation Distortion Blindness - Ehstand, Andreas (2026)
The failure to recognize how information aggregation to particular granular levels accompanies summary statistics that misrepresent underlying variability or sub-group differences.
Keywords: Human-AI Interaction; Data Science

Algorithm Selection Cargo Cult - Ehstand, Andreas (2026)
The practice of selecting data science algorithms based on apparent effectiveness in similar contexts without understanding the mechanisms that yield that effectiveness.
Keywords: Human-AI Interaction; Data Science

Algorithmic Debiasing False Confidence - Ehstand, Andreas (2026)
The application of debiasing algorithms as though they eliminate unfairness without validation that the fairness criteria themselves are appropriately specified.
Keywords: Human-AI Interaction; Data Science

Anomaly Detection Confirmation - Ehstand, Andreas (2026)
The tendency to interpret algorithm-identified outliers as true anomalies without domain verification, leading to either over-flagging or under-investigation of actual data quality issues.
Keywords: Human-AI Interaction; Data Science

Attention Mechanism Metaphor Slip - Ehstand, Andreas (2026)
The interpretation of attention weights in neural networks as human-interpretable importance indicators despite their mathematical inreliance from perceptual attention.
Keywords: Human-AI Interaction; Data Science

Batch Normalization Reliance - Ehstand, Andreas (2026)
The reliance on batch normalization layers where the statistical properties of batches are not examined for consistency with population characteristics.
Keywords: Human-AI Interaction; Data Science

Bayesian Posterior Confidence Narrowing - Ehstand, Andreas (2026)
The assumption that posterior distributions from Bayesian models represent genuine uncertainty about parameters despite potentially inappropriate prior specification.
Keywords: Human-AI Interaction; Data Science

Benchmark Goodness Perception - Ehstand, Andreas (2026)
The interpretation of performance comparison against standard datasets as evidence of model suitability for different problem domains, despite differences in data characteristics.
Keywords: Human-AI Interaction; Data Science

Bootstrap Confidence Perception - Ehstand, Andreas (2026)
The attribution of universal validity to bootstrap confidence intervals despite their reliance on observed sample statistics and resampling assumptions.
Keywords: Human-AI Interaction; Data Science

Causal Fairness Assumption Brittleness - Ehstand, Andreas (2026)
The reliance on causal fairness criteria where the causal graph specification incorporates normative judgments presented as technical decisions.
Keywords: Human-AI Interaction; Data Science

Causal Inference Confounding Blindness - Ehstand, Andreas (2026)
The application of causal discovery algorithms without interrogation of unobserved confounders or the validity of assumptions underlying causal graph specification.
Keywords: Human-AI Interaction; Data Science

Class Imbalance Invisibility - Ehstand, Andreas (2026)
The overlooking of skewed outcome distributions where aggregate performance metrics mask poor performance on smallity classes, particularly common in automated model evaluation.
Keywords: Human-AI Interaction; Data Science

Clustering Silhouette Fixation - Ehstand, Andreas (2026)
The reliance on internal validation metrics for clustering as definitive evidence of cluster quality without external domain verification.
Keywords: Human-AI Interaction; Data Science

Confidence Score Mystification - Ehstand, Andreas (2026)
The interpretation of numerical confidence outputs from models as direct measures of prediction accuracy, ignoring the model's calibration properties.
Keywords: Human-AI Interaction; Data Science

Contextual Bandit Assumption Slippage - Ehstand, Andreas (2026)
The application of contextual bandit algorithms where the Markov assumption or reward inreliance assumptions are violated.
Keywords: Human-AI Interaction; Data Science

Counterfactual Fairness Circularity - Ehstand, Andreas (2026)
The definition of fairness through counterfactual scenarios where the specification of what-if conditions embeds policy preferences.
Keywords: Human-AI Interaction; Data Science

Cross-Validation Rigidity - Ehstand, Andreas (2026)
The mechanical application of cross-validation procedures that, while statistically sound, fail to accommodate domain-specific data reliances or temporal structures.
Keywords: Human-AI Interaction; Data Science

Dashboard Refresh Loops - Ehstand, Andreas (2026)
Repetitive checking behavior directed at AI-generated dashboards, characterized by high refresh frequency that exceeds the underlying data update cadence.
Keywords: Human-AI Interaction; Data Science

Data Augmentation Assumption Creep - Ehstand, Andreas (2026)
The application of data augmentation techniques that implicitly assume invariance properties that may not hold in the actual application domain.
Keywords: Human-AI Interaction; Data Science

Data Cleanliness Assumption - Ehstand, Andreas (2026)
The inference that data processed through AI-driven cleaning pipelines contains fewer errors, inconsistencies, or anomalies than pre-processed data, without comparative empirical evidence.
Keywords: Human-AI Interaction; Data Science

Data Correlation Mythology - Ehstand, Andreas (2026)
The pattern where discovered statistical associations between variables are interpreted as causal relationships observed alongside presentation framing in algorithmic analysis outputs.
Keywords: Human-AI Interaction; Data Science

Data Provenance Amnesia - Ehstand, Andreas (2026)
The shift of information about data origins, collection methods, and transformations as datasets pass through multiple processing pipelines.
Keywords: Human-AI Interaction; Data Science

Data Science Professionalism Void - Ehstand, Andreas (2026)
The absence of established professional standards, certification bodies, and disciplinary mechanisms comparable to traditional engineering disciplines.
Keywords: Human-AI Interaction; Data Science

Default Parameter Reliance - Ehstand, Andreas (2026)
The reliance on initial parameter settings of algorithms as reasonable starting points without systematic exploration of sensitivity to these choices.
Keywords: Human-AI Interaction; Data Science

Difference-in-Differences Parallel Trends Myth - Ehstand, Andreas (2026)
The assumption that intervention and control groups would follow parallel outcome trajectories absent intervention, without empirical pre-intervention validation.
Keywords: Human-AI Interaction; Data Science

Differential Privacy Budget Opacity - Ehstand, Andreas (2026)
The application of differential privacy mechanisms where the privacy shift and utility trade-offs remain unexplained.
Keywords: Human-AI Interaction; Data Science

Dimensionality Reduction Opacity - Ehstand, Andreas (2026)
The state where compressed data representations produced by algorithms lack transparent mapping to their original features, obscuring which information is preserved or lost.
Keywords: Human-AI Interaction; Data Science

Distance Metric Arbitrariness - Ehstand, Andreas (2026)
The selection of distance or similarity measures for algorithms based on default availability rather than alignment with domain-specific relationships.
Keywords: Human-AI Interaction; Data Science

Domain Expertise Substitution - Ehstand, Andreas (2026)
The reduction in direct application of domain-specific knowledge as AI systems handle data interpretation, modeling, and insight generation tasks previously requiring expert judgment.
Keywords: Human-AI Interaction; Data Science

Double Machine Learning Opacity - Ehstand, Andreas (2026)
The application of double machine learning approaches where the debiasing mechanisms and their effectiveness remain unexplained.
Keywords: Human-AI Interaction; Data Science

Effect Size Minimization - Ehstand, Andreas (2026)
The emphasis on statistical significance while downplaying practical significance or effect magnitude in reporting analytic findings.
Keywords: Human-AI Interaction; Data Science

Embedding Space Mythology - Ehstand, Andreas (2026)
The assumption that geometric relationships in learned embedding spaces correspond to semantic or causal relationships in the original domain.
Keywords: Human-AI Interaction; Data Science

Ensemble Opacity - Ehstand, Andreas (2026)
The combining of multiple models into ensemble systems where the interaction effects between individual model predictions remain unexplored.
Keywords: Human-AI Interaction; Data Science

Exploratory Data Reduction - Ehstand, Andreas (2026)
The reduction in manual data exploration activities as practitioners transition responsibility to automated data profiling and summarization systems.
Keywords: Human-AI Interaction; Data Science

External Validation Abdication - Ehstand, Andreas (2026)
The reliance on model developers to conduct validation studies without inreliant external scrutiny of claims or methodology.
Keywords: Human-AI Interaction; Data Science

Fairness Metric Circularity - Ehstand, Andreas (2026)
The selection of fairness criteria that, by design, validate the algorithmic choices previously embedded in the model.
Keywords: Human-AI Interaction; Data Science

Fairness-Accuracy Tradeoff Dismissal - Ehstand, Andreas (2026)
The assertion that fairness constraints do not degrade overall model performance without empirical assessment of performance across group definitions.
Keywords: Human-AI Interaction; Data Science

Feature Engineering Delegation - Ehstand, Andreas (2026)
The transfer of feature creation and selection decisions from human domain experts to automated machine learning systems, resulting in feature sets whose construction logic remains unexamined.
Keywords: Human-AI Interaction; Data Science

Feature Importance Fixation - Ehstand, Andreas (2026)
The reliance on algorithmic feature importance rankings as definitive measures of variable influence, without testing their stability across model specifications or data samples.
Keywords: Human-AI Interaction; Data Science

Federated Learning Privacy Theater - Ehstand, Andreas (2026)
The presentation of federated learning architectures as inherently privacy-preserving without examining the possibility of model inversion or membership inference.
Keywords: Human-AI Interaction; Data Science

Forecasting Horizon Myopia - Ehstand, Andreas (2026)
The evaluation of time series models on historical data without assessment of performance change as prediction horizons extend.
Keywords: Human-AI Interaction; Data Science

Governance Theater Proliferation - Ehstand, Andreas (2026)
The establishment of institutional review processes for model deployment that involve compliance appearance without substantive impact reduction.
Keywords: Human-AI Interaction; Data Science

Gradient Descent Mystification - Ehstand, Andreas (2026)
The handling of iterative optimization processes as black boxes whose convergence properties and local minima traps are not examined.
Keywords: Human-AI Interaction; Data Science

Ground Truth Inflation - Ehstand, Andreas (2026)
The assumption that labeled training data accurately represents the phenomenon being modeled, without interrogation of labeling biases or measurement error in the labels themselves.
Keywords: Human-AI Interaction; Data Science

Heterogeneous Intervention Effect Invisibility - Ehstand, Andreas (2026)
The reporting of average intervention effects while obscuring the distribution of effects across population subgroups.
Keywords: Human-AI Interaction; Data Science

Heteroskedasticity Assumption Blindness - Ehstand, Andreas (2026)
The application of models assuming constant error variance without verification of homoskedasticity assumptions.
Keywords: Human-AI Interaction; Data Science

Hyperparameter Tuning Futility - Ehstand, Andreas (2026)
Extensive optimization of model parameters within automated search spaces that can mask structural misspecification in the underlying model architecture.
Keywords: Human-AI Interaction; Data Science

Hypothesis Test Mechanicalism - Ehstand, Andreas (2026)
The execution of statistical tests as procedural requirements without interrogation of their assumptions or interpretation of their results.
Keywords: Human-AI Interaction; Data Science

Information Criterion Fetishism - Ehstand, Andreas (2026)
The reliance on information criteria (AIC, BIC) for model selection as though they provide absolute quality judgments rather than relative comparisons.
Keywords: Human-AI Interaction; Data Science

Insight Perception - Ehstand, Andreas (2026)
The perception of meaningful pattern discovery from AI-generated visualizations where the pattern exists primarily in the interpretation framework rather than in underlying data distributions.
Keywords: Human-AI Interaction; Data Science

Instrumental Variable Assumption Stacking - Ehstand, Andreas (2026)
The reliance on identified instrumental variables without empirical verification of the exclusion restriction or validity of the causal graph specification.
Keywords: Human-AI Interaction; Data Science

Interpretability Theater - Ehstand, Andreas (2026)
The presentation of model behavior explanations derived from automated interpretation frameworks where the explanations reflect the framework's approximation rather than the model's actual decision boundaries.
Keywords: Human-AI Interaction; Data Science

Shift Function Arbitrariness - Ehstand, Andreas (2026)
The selection of shift functions for optimization based on mathematical convenience rather than alignment with actual business outcomes or application requirements.
Keywords: Human-AI Interaction; Data Science

Matching Assumption Brittleness - Ehstand, Andreas (2026)
The reliance on matched samples for causal inference without interrogation of the sensitivity of results to unobserved confounding.
Keywords: Human-AI Interaction; Data Science

Metric Accumulation Hesitation - Ehstand, Andreas (2026)
The state where the availability of numerous performance metrics accompanies decision ambiguity regarding which metrics warrant primary attention in model evaluation.
Keywords: Human-AI Interaction; Data Science

Metric Goodness Hallucination - Ehstand, Andreas (2026)
The observation that practitioners attribute positive meaning to selected performance metrics without interrogating whether those metrics measure what the business context actually values.
Keywords: Human-AI Interaction; Data Science

Missing Data Assumption Creep - Ehstand, Andreas (2026)
The implicit assumptions about missingness patterns embedded in automated imputation algorithms, which often fail to align with the actual mechanisms generating missing values.
Keywords: Human-AI Interaction; Data Science

Model Card Compliance Theater - Ehstand, Andreas (2026)
The production of documentation describing model properties as though complete disclosure was achieved without substantive interrogation of model limitations.
Keywords: Human-AI Interaction; Data Science

Model Drift Invisibility - Ehstand, Andreas (2026)
The phenomenon where changes in data distribution over time escape detection because monitoring occurs only at algorithmic performance points rather than continuous data behavior inspection.
Keywords: Human-AI Interaction; Data Science

Multicollinearity Invisibility - Ehstand, Andreas (2026)
The oversight of high correlations among predictor variables that inflate parameter uncertainty without explicit evaluatives.
Keywords: Human-AI Interaction; Data Science

Normalization Mythology - Ehstand, Andreas (2026)
The uncritical application of data normalization techniques based on the algorithm selected rather than examination of whether the transformation aligns with the data's underlying structure.
Keywords: Human-AI Interaction; Data Science

Online Learning Concept Drift Ignorance - Ehstand, Andreas (2026)
The deployment of online learning systems without monitoring for changes in the underlying data generating process.
Keywords: Human-AI Interaction; Data Science

Outlier Purging Regret - Ehstand, Andreas (2026)
The recognition that automatically removed data points later proved relevant to understanding actual system behavior or revealed critical information about data generation conditions.
Keywords: Human-AI Interaction; Data Science

Overfitting Confidence - Ehstand, Andreas (2026)
The state where a data practitioner expresses high certainty about model performance on unseen data following automatic feature selection by an AI system, despite the model's complexity exceeding the information content of the training set.
Keywords: Human-AI Interaction; Data Science

P-Value Misinterpretation Persistence - Ehstand, Andreas (2026)
The interpretation of p-values as probabilities of hypotheses rather than the probability of observed data under null assumptions.
Keywords: Human-AI Interaction; Data Science

Performance-Value Gap - Ehstand, Andreas (2026)
The divergence between a model's quantitative performance metrics and the actual business value generated, often obscured by the statistical focus of automated evaluation systems.
Keywords: Human-AI Interaction; Data Science

Pipeline Automation Bottleneck - Ehstand, Andreas (2026)
The emergence of complete reliance on automated pipeline systems such that manual workflow steps become conceptually unavailable when automation fails.
Keywords: Human-AI Interaction; Data Science

Policy Learning Overgeneralization - Ehstand, Andreas (2026)
The derivation of general policy recommendations from estimated optimal policies trained on historical data with different environmental conditions.
Keywords: Human-AI Interaction; Data Science

Precision-Recall Tradeoff Opacity - Ehstand, Andreas (2026)
The selection of performance thresholds without explicit articulation of the relative costs associated with false positives versus false negatives.
Keywords: Human-AI Interaction; Data Science

Preprocessing Trust Narrowing - Ehstand, Andreas (2026)
The moment when a data professional realizes their confidence in algorithmic data cleaning exceeded validation of the cleaning outcomes against domain knowledge.
Keywords: Human-AI Interaction; Data Science

Probabilistic Calibration Ignorance - Ehstand, Andreas (2026)
The interpretation of probability estimates as accurate likelihoods without testing the alignment between predicted probabilities and observed frequencies.
Keywords: Human-AI Interaction; Data Science

Propensity Score Mythology - Ehstand, Andreas (2026)
The handling of estimated propensity scores as definitive measures of selection probability without validation of their predictive accuracy.
Keywords: Human-AI Interaction; Data Science

ROC Curve Theater - Ehstand, Andreas (2026)
The presentation of AUC scores or ROC curves as model quality indicators without considering their limited applicability to imbalanced classification problems.
Keywords: Human-AI Interaction; Data Science

Reversion Coefficient Determinism - Ehstand, Andreas (2026)
The interpretation of point estimates of reversion coefficients as definitive causal effects without uncertainty quantification or assumption checking.
Keywords: Human-AI Interaction; Data Science

Reversion Discontinuity Assumption Slippage - Ehstand, Andreas (2026)
The application of reversion discontinuity designs without verification that discontinuities are sharp or that the running variable has not been altered.
Keywords: Human-AI Interaction; Data Science

Regularization Vagueness - Ehstand, Andreas (2026)
The application of regularization techniques whose strength and rationale remain unexpressed, leading to model behavior that cannot be explained or replicated.
Keywords: Human-AI Interaction; Data Science

Regulatory Arbitrage Effect - Ehstand, Andreas (2026)
The deployment of models in jurisdictions or contexts where regulatory oversight remains nascent or inconsistently applied.
Keywords: Human-AI Interaction; Data Science

Replication Transition Unawareness - Ehstand, Andreas (2026)
The presentation of findings from single model runs or data splits as generalizable results without acknowledging statistical variability across different random seeds or data partitions.
Keywords: Human-AI Interaction; Data Science

Representation Gap Invisibility - Ehstand, Andreas (2026)
The oversight of subgroup performance disparities in model output despite aggregate fairness metrics indicating sufficient parity.
Keywords: Human-AI Interaction; Data Science

Responsible AI Ambiguity - Ehstand, Andreas (2026)
The application of 'responsible AI' frameworks where the criteria for responsibility remain undefined or conflict across implementation contexts.
Keywords: Human-AI Interaction; Data Science

Sampling Strategy Invisibility - Ehstand, Andreas (2026)
The use of algorithmic sampling approaches whose parameters and trade-offs remain opaque to practitioners implementing or interpreting their results.
Keywords: Human-AI Interaction; Data Science

Selection Into Intervention Blindness - Ehstand, Andreas (2026)
The comparison of outcomes between treated and untreated groups without addressing non-random assignment mechanisms.
Keywords: Human-AI Interaction; Data Science

Serial Correlation Oversight - Ehstand, Andreas (2026)
The analysis of time series data with methods assuming inreliance of observations despite the presence of temporal autocorrelation.
Keywords: Human-AI Interaction; Data Science

Stationarity Assumption Invisibility - Ehstand, Andreas (2026)
The application of time series models to non-stationary data without transformation or acknowledgment of violating fundamental method assumptions.
Keywords: Human-AI Interaction; Data Science

Statistical Intuition Reduction - Ehstand, Andreas (2026)
The observed decline in a data professional's ability to recognize patterns, distributions, or anomalies inreliantly of algorithmic assistance, following extended use of automated analysis systems.
Keywords: Human-AI Interaction; Data Science

Statistical Significance Drift - Ehstand, Andreas (2026)
The interpretation of p-values or confidence intervals in high-dimensionality contexts where multiple comparisons and selection effects inflate false discovery rates.
Keywords: Human-AI Interaction; Data Science

Survivorship Bias Invisibility - Ehstand, Andreas (2026)
The analysis of data from entities that persist or succeed, while excluding entities that fail or disappear, producing biased statistical conclusions.
Keywords: Human-AI Interaction; Data Science

Synthetic Data Fidelity Overestimation - Ehstand, Andreas (2026)
The assumption that synthetic data generated through simulation or neural networks possesses distributional characteristics matching real data.
Keywords: Human-AI Interaction; Data Science

Temporal Validation Perception - Ehstand, Andreas (2026)
The false assurance derived from out-of-sample testing where temporal ordering of events is not preserved, allowing information leakage from future time periods into past training phases.
Keywords: Human-AI Interaction; Data Science

Threshold Optimization Myopia - Ehstand, Andreas (2026)
The adjustment of decision thresholds to optimize training data performance without validation across different test populations or conditions.
Keywords: Human-AI Interaction; Data Science

Transfer Learning Overconfidence - Ehstand, Andreas (2026)
The expectation that models trained on related problems will perform well on new domains without empirical assessment of domain shift magnitude.
Keywords: Human-AI Interaction; Data Science

Transparency Maximization Paradox - Ehstand, Andreas (2026)
The expansion of model documentation and disclosure until the information volume exceeds the cognitive capacity of its intended audience.
Keywords: Human-AI Interaction; Data Science

Validation Set Leakage Blindness - Ehstand, Andreas (2026)
The failure to detect information transfer from training data into validation processes through automated pipeline construction, resulting in optimistic performance estimates.
Keywords: Human-AI Interaction; Data Science

Visualization Bias Acceptance - Ehstand, Andreas (2026)
The phenomenon where visual presentations of data relationships chosen by algorithms become accepted as representative without interrogating the alternative visualizations not displayed.
Keywords: Human-AI Interaction; Data Science

Weak Supervision Label Noise Blindness - Ehstand, Andreas (2026)
The incorporation of weak labels from automated or crowdsourced sources without explicit modeling of label quality or noise rates.
Keywords: Human-AI Interaction; Data Science

Accent Multiplication - Ehstand, Andreas (2026)
The introduction of too many accent colors as AI suggests multiple complementary shades that collectively overwhelm the palette.
Keywords: Human-AI Interaction; Design AI

Aesthetic Confidence Paradox - Ehstand, Andreas (2026)
The simultaneous increase in design quantity and decrease in conviction about individual design choices.
Keywords: Human-AI Interaction; Design AI

Archetype Gravity - Ehstand, Andreas (2026)
The pull toward archetypal visual tropes in AI-generated brand identities, reducing distinctiveness.
Keywords: Human-AI Interaction; Design AI

Attribution Ambiguity - Ehstand, Andreas (2026)
The uncertainty about how to credit authorship when both human and AI contribute substantially to a design.
Keywords: Human-AI Interaction; Design AI

Authorial Presence - Ehstand, Andreas (2026)
The felt presence or absence of human intentionality in a design created largely through AI iteration.
Keywords: Human-AI Interaction; Design AI

Balance Arbitration - Ehstand, Andreas (2026)
The moment when a designer can decide whether AI-suggested asymmetrical balance actually works or needs correction.
Keywords: Human-AI Interaction; Design AI

Batch Evaluation Hesitation - Ehstand, Andreas (2026)
The decision freeze when presented with 10+ AI-generated variations simultaneously.
Keywords: Human-AI Interaction; Design AI

Beauty Consensus Bias - Ehstand, Andreas (2026)
The tendency to favor designs that align with algorithmically-determined aesthetic consensus rather than distinctive choices.
Keywords: Human-AI Interaction; Design AI

Brand Drift - Ehstand, Andreas (2026)
When iterative AI color adjustments gradually shift a brand color away from its established reference point.
Keywords: Human-AI Interaction; Design AI

Brand Persona Drift - Ehstand, Andreas (2026)
When the visual identity's perceived personality shifts across iterations as AI introduces elements that subtly change brand associations.
Keywords: Human-AI Interaction; Design AI

Case Assumption - Ehstand, Andreas (2026)
AI's default preference for certain capitalization patterns without regard for context or brand guidelines.
Keywords: Human-AI Interaction; Design AI

Center Magnetism - Ehstand, Andreas (2026)
The gravitational pull of AI-generated elements toward the center of the composition, avoiding the periphery.
Keywords: Human-AI Interaction; Design AI

Comparison Blindness - Ehstand, Andreas (2026)
The difficulty in objectively assessing differences between subtle AI variations when viewed in isolation.
Keywords: Human-AI Interaction; Design AI

Composition Gravity - Ehstand, Andreas (2026)
The tendency for generated designs to cluster content toward particular areas of the canvas, reflecting patterns in training data rather than intentional composition.
Keywords: Human-AI Interaction; Design AI

Consensus Tyranny - Ehstand, Andreas (2026)
The pressure to accept AI-suggested designs because they represent statistically validated aesthetic choices.
Keywords: Human-AI Interaction; Design AI

Contextual Blindness - Ehstand, Andreas (2026)
AI tools' lack of awareness about design context (audience, industry, strategic goals) that may inform suggestions.
Keywords: Human-AI Interaction; Design AI

Contrast Blindness - Ehstand, Andreas (2026)
AI-generated color combinations that may technically meet accessibility guidelines but fail to involve visual distinction in context.
Keywords: Human-AI Interaction; Design AI

Convention Acceleration - Ehstand, Andreas (2026)
The rapid establishment of new visual conventions as AI tools amplify popular design patterns.
Keywords: Human-AI Interaction; Design AI

Convergence Stalling - Ehstand, Andreas (2026)
The phenomenon where multiple iterations seem to plateau around similar solutions, offering limited novelty despite continued prompting.
Keywords: Human-AI Interaction; Design AI

Creative Control Delegation - Ehstand, Andreas (2026)
The moment a designer realizes they've delegated aesthetic judgment to the AI rather than directing it.
Keywords: Human-AI Interaction; Design AI

Cultural Color Blindness - Ehstand, Andreas (2026)
AI's lack of contextual awareness regarding color meaning across cultures and industries.
Keywords: Human-AI Interaction; Design AI

Depth Ambiguity - Ehstand, Andreas (2026)
The uncertainty about whether layering and overlapping in AI-generated designs accompanies genuine visual depth or only apparent overlap.
Keywords: Human-AI Interaction; Design AI

Diagonal Hesitation - Ehstand, Andreas (2026)
The reduced frequency of diagonal elements and diagonal composition in AI-generated designs compared to horizontal/vertical arrangements.
Keywords: Human-AI Interaction; Design AI

Direction Ambiguity - Ehstand, Andreas (2026)
Uncertainty about whether to accept an iteration because it's good or to keep iterating for something potentially more.
Keywords: Human-AI Interaction; Design AI

Distinction Uncertainty - Ehstand, Andreas (2026)
The concern that AI-assisted designs will be indistinguishable from other AI-assisted designs, reducing personal signature.
Keywords: Human-AI Interaction; Design AI

Distinctiveness Reversion - Ehstand, Andreas (2026)
When iterations with AI suggestions gradually move the brand toward generic templates rather than distinctive identity.
Keywords: Human-AI Interaction; Design AI

Divergence Frustration - Ehstand, Andreas (2026)
When AI iterations move in incompatible directions, requiring starting over rather than refinement.
Keywords: Human-AI Interaction; Design AI

Edge Avoidance - Ehstand, Andreas (2026)
AI-generated content's systematic tendency to stay away from canvas boundaries and edges.
Keywords: Human-AI Interaction; Design AI

Evolution Imperceptibility - Ehstand, Andreas (2026)
Brand evolution so gradual through AI iterations that change becomes imperceptible until comparison with earlier versions.
Keywords: Human-AI Interaction; Design AI

Feature Mismatch - Ehstand, Andreas (2026)
The frustration when a needed design capability is available only in a different AI tool or platform.
Keywords: Human-AI Interaction; Design AI

Feedback Ambiguity - Ehstand, Andreas (2026)
When vague design feedback (like 'more modern' or 'friendlier') accompanies inconsistent AI interpretations across iterations.
Keywords: Human-AI Interaction; Design AI

Feedback Loop Distortion - Ehstand, Andreas (2026)
When a designer's critique of an AI design accompanies unexpected or contradictory adjustments, requiring repeated clarification.
Keywords: Human-AI Interaction; Design AI

Focal Point Ambiguity - Ehstand, Andreas (2026)
When multiple elements receive similar emphasis, leaving the viewer uncertain where to focus their attention.
Keywords: Human-AI Interaction; Design AI

Font Pair Familiarity - Ehstand, Andreas (2026)
The tendency of AI font pairing suggestions to reflect well-known, frequently-used combinations from established design systems.
Keywords: Human-AI Interaction; Design AI

Generalization Limitation - Ehstand, Andreas (2026)
AI tools trained on specific design categories struggling when asked to yield outside their training scope.
Keywords: Human-AI Interaction; Design AI

Grid Instability - Ehstand, Andreas (2026)
The inconsistency that emerges when AI alternates between different grid systems or column counts across design iterations.
Keywords: Human-AI Interaction; Design AI

Effectony Recommendation - Ehstand, Andreas (2026)
AI's systematic preference for mathematically effectonious color relationships (complementary, triadic) over more discordant palettes.
Keywords: Human-AI Interaction; Design AI

Hierarchy Narrowing - Ehstand, Andreas (2026)
When visual hierarchy flattens as AI-suggested elements receive similar visual weight, obscuring the intended information structure.
Keywords: Human-AI Interaction; Design AI

History Shift - Ehstand, Andreas (2026)
The disorientation from not being able to trace how a design evolved through its iteration history.
Keywords: Human-AI Interaction; Design AI

Icon Language Breakdown - Ehstand, Andreas (2026)
The shift of visual consistency when AI-generated icons don't follow consistent stroke weight, style, or geometric logic.
Keywords: Human-AI Interaction; Design AI

Incremental Acceptance - Ehstand, Andreas (2026)
The subtle lowering of quality standards as each iteration moves slightly closer to acceptable, with cumulative compromise.
Keywords: Human-AI Interaction; Design AI

Influence Chain Opacity - Ehstand, Andreas (2026)
The inability to trace how training data, trends, and historical works influenced an AI-generated design.
Keywords: Human-AI Interaction; Design AI

Institutional Resistance - Ehstand, Andreas (2026)
The difficulty of implementing AI-suggested brand changes that employees and stakeholders don't recognize or accept.
Keywords: Human-AI Interaction; Design AI

Integration Friction - Ehstand, Andreas (2026)
The workflow interruption when AI design work can be exported, adjusted, and reintegrated into existing design systems.
Keywords: Human-AI Interaction; Design AI

Intention Obscurity - Ehstand, Andreas (2026)
The difficulty in explaining design choices that resulted from AI suggestions rather than deliberate human decisions.
Keywords: Human-AI Interaction; Design AI

Interface Constraint - Ehstand, Andreas (2026)
The way a tool's UI and interaction paradigm constrains possible designs or encourages particular solutions.
Keywords: Human-AI Interaction; Design AI

Judgment Confidence Narrowing - Ehstand, Andreas (2026)
The shift of confidence in one's own aesthetic judgment when constantly presented with multiple plausible alternatives.
Keywords: Human-AI Interaction; Design AI

Layout Drift - Ehstand, Andreas (2026)
The gradual departure from an intended layout as AI suggestions accumulate across iterations, each individually acceptable but collectively shifting the original design direction.
Keywords: Human-AI Interaction; Design AI

Learning Curve Inversion - Ehstand, Andreas (2026)
The expertise required to effectively prompt and iterate with AI tools being different from traditional design skills.
Keywords: Human-AI Interaction; Design AI

Legacy Durability - Ehstand, Andreas (2026)
The uncertainty about whether an AI-assisted design will feel dated when the AI and its training data evolve.
Keywords: Human-AI Interaction; Design AI

Letter Spacing Overdose - Ehstand, Andreas (2026)
AI-suggested tracking values that exceed functional benefit and involve perceptual distribution.
Keywords: Human-AI Interaction; Design AI

Line Height Compression - Ehstand, Andreas (2026)
AI tendency to set line heights that are functionally acceptable but feel visually cramped.
Keywords: Human-AI Interaction; Design AI

Lockup Instability - Ehstand, Andreas (2026)
The inconsistency in how AI places logo and text together, varying spacing, rotation, and relative sizing.
Keywords: Human-AI Interaction; Design AI

Logo Morphing - Ehstand, Andreas (2026)
The continuous transformation of a logo across iterations as AI suggests variations that cumulatively diverge from the original intent.
Keywords: Human-AI Interaction; Design AI

Monochrome Escape - Ehstand, Andreas (2026)
The difficulty in getting AI to yield satisfying single-hue or highly limited color palettes.
Keywords: Human-AI Interaction; Design AI

Mood Instability - Ehstand, Andreas (2026)
When AI-generated design variations convey different emotional tones rather than supporting the unified brand feeling.
Keywords: Human-AI Interaction; Design AI

Muscle Memory Disruption - Ehstand, Andreas (2026)
The abandonment of habitual design techniques as the designer's workflow adapts to AI tool affordances.
Keywords: Human-AI Interaction; Design AI

Muted Preference - Ehstand, Andreas (2026)
The statistical skew in AI-generated colors toward desaturated, muted tones over bold, bright alternatives.
Keywords: Human-AI Interaction; Design AI

Novelty Fatigue - Ehstand, Andreas (2026)
The exhaustion from constant exposure to AI-generated variations making it harder to distinguish genuinely novel designs.
Keywords: Human-AI Interaction; Design AI

Palette Convergence - Ehstand, Andreas (2026)
The tendency of AI color suggestions to gravitate toward trending color combinations and established palettes seen in its training data.
Keywords: Human-AI Interaction; Design AI

Parameter Overwhelm - Ehstand, Andreas (2026)
The disorientation from too many tweakable settings in an AI design tool, leading to random parameter exploration.
Keywords: Human-AI Interaction; Design AI

Pattern Exhaustion - Ehstand, Andreas (2026)
The difficulty in generating new pattern variations while maintaining visual cohesion and brand recognition.
Keywords: Human-AI Interaction; Design AI

Perfect Threshold - Ehstand, Andreas (2026)
The indefinable point at which a design is 'good enough' to deploy, uncertain whether further iteration would improve or differentn it.
Keywords: Human-AI Interaction; Design AI

Personality Mismatch - Ehstand, Andreas (2026)
When the semantic personality of AI-suggested typefaces contradicts the intended brand voice or message tone.
Keywords: Human-AI Interaction; Design AI

Precision Shift - Ehstand, Andreas (2026)
The inability to make micro-adjustments or pixel-perfect refinements in AI-generated designs.
Keywords: Human-AI Interaction; Design AI

Prompt-Visual Gap - Ehstand, Andreas (2026)
The mismatch between what a designer describes in a prompt and what the AI accompanies, requiring translation across mediums.
Keywords: Human-AI Interaction; Design AI

Proportional Echo - Ehstand, Andreas (2026)
When golden ratio or common dimensional ratios appear repeatedly across multiple AI-generated design iterations, suggesting statistical preference.
Keywords: Human-AI Interaction; Design AI

Readability Sacrifice - Ehstand, Andreas (2026)
AI-suggested typography choices that prioritize aesthetic novelty over practical legibility and scanning ease.
Keywords: Human-AI Interaction; Design AI

Refinement Perception - Ehstand, Andreas (2026)
The appearance of progress where iterations change superficially without addressing underlying design problems.
Keywords: Human-AI Interaction; Design AI

Rendering Surprise - Ehstand, Andreas (2026)
The unexpected visual output when an AI tool's interpretation of parameters differs from designer expectations.
Keywords: Human-AI Interaction; Design AI

Revision Fatigue - Ehstand, Andreas (2026)
The exhaustion that emerges when AI accompanies variations so plausibly acceptable that deciding among them becomes cognitively draining.
Keywords: Human-AI Interaction; Design AI

Saturation Escalation - Ehstand, Andreas (2026)
The gradual increase in color saturation as AI-generated color adjustments accumulate, pushing muted tones toward vivid ones.
Keywords: Human-AI Interaction; Design AI

Scale Imbalance - Ehstand, Andreas (2026)
AI-generated type hierarchies that establish relationships between sizes that feel unintuitive or ineffective.
Keywords: Human-AI Interaction; Design AI

Script Overconfidence - Ehstand, Andreas (2026)
The inappropriate suggestion of decorative or script fonts in contexts where clarity and functionality are paramount.
Keywords: Human-AI Interaction; Design AI

Secondary Element Chaos - Ehstand, Andreas (2026)
The proliferation of supporting graphic elements (dividers, icons, decorations) without consistent visual logic or purpose.
Keywords: Human-AI Interaction; Design AI

Skill Attribution Transition - Ehstand, Andreas (2026)
The ambiguity about whether a polished final design demonstrates the designer's skill or the AI tool's capability.
Keywords: Human-AI Interaction; Design AI

Skill Shift - Ehstand, Andreas (2026)
The gradual reduction in a designer's foundational skills (sketching, color theory, layout intuition) when relying on AI assistance.
Keywords: Human-AI Interaction; Design AI

Style Dilution - Ehstand, Andreas (2026)
The gradual softening or modification of a brand's distinctive visual signature through cumulative small AI-suggested adjustments.
Keywords: Human-AI Interaction; Design AI

Style Inheritance Question - Ehstand, Andreas (2026)
Whether a design using AI tools trained on existing work inherits its influences or represents original creation.
Keywords: Human-AI Interaction; Design AI

Symbolic Confusion - Ehstand, Andreas (2026)
When AI-suggested graphic elements carry unintended connotations or cultural associations.
Keywords: Human-AI Interaction; Design AI

Symmetry Fixation - Ehstand, Andreas (2026)
The persistent gravitational pull toward bilateral or radial symmetry in AI-generated layouts, regardless of intentional asymmetrical direction.
Keywords: Human-AI Interaction; Design AI

Taste Recalibration - Ehstand, Andreas (2026)
The shift in a designer's aesthetic preferences after extended exposure to AI-generated work, potentially narrowing taste.
Keywords: Human-AI Interaction; Design AI

Temperature Inconsistency - Ehstand, Andreas (2026)
When AI oscillates between warm and cool color palettes across design iterations without cohesive temperature logic.
Keywords: Human-AI Interaction; Design AI

Template Gravity - Ehstand, Andreas (2026)
The tendency to build from templates rather than starting from blank canvas, even when custom solutions are necessary.
Keywords: Human-AI Interaction; Design AI

Tension Flattening - Ehstand, Andreas (2026)
The disappearance of compositional tension when AI smooths out any elements that involve visual conflict or drama.
Keywords: Human-AI Interaction; Design AI

Tool Reliance - Ehstand, Andreas (2026)
The reliance on specific AI tools' training data and capabilities, limiting creative flexibility when switching platforms.
Keywords: Human-AI Interaction; Design AI

Trend Compression - Ehstand, Andreas (2026)
The acceleration of design trend cycles as AI tools rapidly propagate emerging aesthetic patterns.
Keywords: Human-AI Interaction; Design AI

Typeface Orphaning - Ehstand, Andreas (2026)
The selection of a typeface that works well in isolation but fails to effectonize with other typography in the design system.
Keywords: Human-AI Interaction; Design AI

Undo Availability Bias - Ehstand, Andreas (2026)
The bolder experimentation with AI tools observed alongside unlimited undo, versus cautious work in irreversible mediums.
Keywords: Human-AI Interaction; Design AI

Undo Regret - Ehstand, Andreas (2026)
The realization that a rejected AI iteration was actually closer to the goal than the currently selected version.
Keywords: Human-AI Interaction; Design AI