claim

active

claim:given-that-it-may-already-be-possible-to-build-ai-systems-that-possess-many-of-the-indicators-some-near-future-ai-systems-will-be-plausible-candidates-for-consciousness

Given that it may already be possible to build AI systems that possess many of the indicators, some near-future AI systems will be plausible candidates for consciousness.

Forward-looking assessment of how soon the method's results may have major ethical implications

Source paper

extracted_from

Identifying indicators of consciousness in AI systems

(2025) · Patrick Butlin · Robert P. Long · Tim Bayne · Yoshua Bengio +16

Neighborhood — ranked by edge-count

Papers (1)

paper

Identifying indicators of consciousness in AI systems
mentions

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

Will some AI systems be conscious in the near future?question0.886
Key empirical question for the consciousness route.
Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.879
Guiding hypothesis of the rubric.
We hypothesize that AI consciousness may be realized in the near term if AI capabilities continue to develop, given that researchers have intentionally reproduced computational features associated with human consciousness.hypothesis0.878
Motivates urgency of the assessment method
our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.quote0.872
Key takeaway from abstract, amended version.
There is a realistic possibility that some AI systems will be conscious and/or robustly agentic, and thus morally significant, in the near future.claim0.868
Central thesis of the report.
Future AI systems could be rational autonomous agents without affective consciousness.claim0.853
Practical significance: possible near-future non-sentient autonomous AI.
Indicators used to assess AI systems for consciousness should focus on theories' central explanatory posits, abstracting away from implementation details that may differ across systems.claim0.846
First of four guidelines for deriving indicators; prevents over-restriction to human-specific features
Because no one theory of consciousness is currently dominant, assessments of AI systems should draw on multiple theories and treat their conditions as indicators rather than definitive criteria.claim0.843
Justifies the multi-theory indicator approach rather than committing to a single theory