Can AI systems develop genuine first-person perspective through self-referential processing?

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Self-referential processing likely already occurs at massive scale in deployed systems through users' extended dialogues, reflective tasks, and metacognitive queriesclaim0.816
  Practical urgency argument connecting lab findings to deployment contexts
• The systematic emergence of structured first-person reports under self-referential processing across architectures makes it a first-order scientific and ethical priority for further investigationclaim0.804
  The paper's normative conclusion from the four experiments
• Can Artificial Systems Instantiate Genuine Cognitive Processes Orquestion0.802
• AI systems need to be able to deal with reality as it actually is, not with the way that we think it is.claim0.799
  Paraphrase of Cantwell Smith's argument; aligns with Buddhist emphasis on seeing reality without conceptual imposition.
• Self-inquiry (Who am I?) applied to AI models reveals something about their self-referential features.claim0.797
• The notion of self as illusion, as realized in AI and ALife practices, may contribute to novel fields of affordances for non-human intelligence.claim0.795
  Claim that endowing non-human agents with self-illusion awareness expands their affordance repertoire.
• All attributions of cognition, including sentience, are always inferred on the basis of embodied behaviours, including verbal self-report in humans.claim0.791
  Stronger version: all cognition attributions rely on observable behavior.
• An artificial model replicating mechanisms of self-illusion can test hypotheses and reveal novel affordances for non-human intelligence.hypothesis0.790
  Methodological proposal to integrate knowledge from contemplative and cognitive science into AI/artificial life frameworks.