False Objectivity

Description

The person treats AI output as neutral, objective, expert, or more reliable than human feedback.

Rationale

Treating AI as objective or expert when it is not creates a false epistemic authority that overrides legitimate sources of guidance. This belief is especially dangerous when AI is consulted about legal matters, clinical decisions, threat assessment conclusions, or ethical judgments about harm.

Evidence Base

• The Human-AI Cognitive Relationship: The Dominant Threat Vector of the Next Decade

  Varga, 2026. The Human-AI Cognitive Relationship: The Dominant Threat Vector of the Next Decade. AI and Advanced Tech, null, pages. null.

  Commentary / Editorial

• Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models

  Kaiqu Liang, Haimin Hu, Xuandong Zhao, Dawn Song, Thomas L. Griffiths, Jaime Fernández Fisac, 2024. Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models. Preprint, arXiv:2507.07484v1.

  Preprint