12,637 papers · updated 18 Sept 2026livingmeta.ai
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Research theme

Epistemic Risk

The Epistemic Risk theme comprises 550 papers in this corpus published between 2004 and 2026. Work here is dominated by Conceptual, Empirical Study, Experimental. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Conceptual180 (33%)
  • Empirical Study70 (13%)
  • Experimental58 (11%)
  • Literature Review52 (9%)
  • Position Paper49 (9%)
  • Content Analysis38 (7%)

Research domains

  • Bias & Epistemic Risk288 (52%)
  • Research Integrity202 (37%)
  • AI Governance19 (3%)
  • Human-AI Collaboration17 (3%)
  • Knowledge Synthesis8 (1%)
  • Data Analysis5 (1%)

Frequent sub-topics

LLM personality, language ideology propagation, and societal bias · 1AI hallucination and epistemic authority in information systems · 1judgment-embedded AI outputs and professional decision-making · 1AI-generated image detection and authenticity judgment · 1Indoctrination risk in using large language models for research · 1AI-generated deception detection and cognitive offloading · 1toxic algospeak and content moderation with AI · 1credibility assessment in synthetic media · 1

Open research gaps

  • The authors identify a gap in understanding the qualities of Big Data beyond quantitative aspects, noting that "we lack understanding about what are the qualities of Big Data that may contribute to th
  • Formal sample-complexity translations between DiffCoT denoising and score-based denoising remain unestablished
  • Formal optimality guarantees for the 'cutting at decision points' heuristic are lacking
  • The relationship between RiM's memory-block reasoning and Bayesian marginalization requires formal development beyond analogy
  • Direct adaptation of conformal prediction frameworks to autoregressive reasoning chains remains an open problem

Representative papers

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