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Atlas / Digital minds / Method

Self-report elicitation

Asking models about their own states, preferences or experiences under controlled prompting, interviews or training regimes, and analysing the answers.

Used in

  • Betley et al 2025 - Tell me about yourself
  • Ren et al 2026 - AI wellbeing
  • Binder et al 2025 - Looking inward
  • Plunkett et al 2025 - Self-interpretability
  • Kadavath et al 2022 - Language models mostly know what they know
  • Perez Long 2023 - Self-reports and moral status
  • Berg de Lucena Rosenblatt 2025 - Self-referential processing
  • Small LLMs 2026 - No reliable evidence of self-reported sentience
  • Anthropic 2025 - Ending a rare subset of conversations
  • Anthropic 2025 - Deprecation commitments

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Around this method
Commitments on model deprecation and preservationClaude Opus 4 and 4.1 can now end a rare subset of conversationsLarge language models report subjective experience under self-referential processingTell me about yourself: LLMs are aware of their learned behaviorsLooking inward: language models can learn about themselves by introspectionLanguage models (mostly) know what they knowTowards evaluating AI systems for moral status using self-reportsSelf-interpretability: LLMs can describe complex internal processes that drive their decisions, and improve with trainingAI wellbeing: measuring and improving the functional pleasure and pain of AIsThis method

12 connections · Explore on map ↗

Linked from

  • Commitments on model deprecation and preservation
  • Claude Opus 4 and 4.1 can now end a rare subset of conversations
  • Large language models report subjective experience under self-referential processing
  • Tell me about yourself: LLMs are aware of their learned behaviors
  • Looking inward: language models can learn about themselves by introspection
  • Language models (mostly) know what they know
  • Towards evaluating AI systems for moral status using self-reports
  • Self-interpretability: LLMs can describe complex internal processes that drive their decisions, and improve with training
  • AI wellbeing: measuring and improving the functional pleasure and pain of AIs
  • No reliable evidence of self-reported sentience in small large language models
  • How well can LLMs introspect — and how much does "just ask the model" tell us?
  • When does a model's self-report count as welfare evidence?

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