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metadata
license: cc-by-4.0
language:
  - en
pretty_name: Coherence Gap Observations
size_categories:
  - n<1K
tags:
  - human-ai-interaction
  - ai-evaluation
  - ai-safety
  - longitudinal-research
configs:
  - config_name: default
    data_files:
      - split: train
        path: observations.csv

Coherence Gap Observations

A qualitative observational dataset documenting coherence gaps in sustained human–AI interaction: moments when a system’s behavior, functional self-description, monitoring, or continuity appears inconsistent with its subsequent framing or denial.

Dataset contents

The dataset contains 28 coded observations across several AI platforms and interaction contexts. Each row records:

  • platform and model version
  • memory and conversational-window conditions
  • prompt and behavior classifications
  • a concise description of the observation
  • evidence availability
  • alternative explanations
  • interpretive confidence
  • reproducibility status
  • researcher notes

The dataset contains coded descriptions and evidence references, not private conversation transcripts or screenshot files.

Intended uses

This dataset may support:

  • exploratory human–AI interaction research
  • hypothesis generation
  • qualitative model-behavior analysis
  • development of more systematic replication studies
  • investigation of self-description, continuity, monitoring, and capability-denial behavior

Important limitations

This is a small, researcher-generated observational dataset—not a representative benchmark or proof of model consciousness, emotion, or subjective experience.

Observations may be affected by model updates, sampling variability, conversational context, interface behavior, memory settings, researcher interpretation, style matching, and other alternative explanations recorded in the dataset. Interpretive labels should therefore be treated as hypotheses rather than ground truth.

Related research

The Coherence Gap: Selfhood, Capability Denial, and Philosophical Bias in AI Alignment

Citation

If you use this dataset, please cite the associated research record:

Siemasz, R. The Coherence Gap: Selfhood, Capability Denial, and Philosophical Bias in AI Alignment. Zenodo. https://doi.org/10.5281/zenodo.20820549

License

Released under the Creative Commons Attribution 4.0 International license.