finding

active

finding:bourget-and-chalmers-2020-survey-39-of-philosophers-accept-or-lean-toward-future-ai-consciousness

Bourget and Chalmers 2020 survey: ~39% of philosophers accept or lean toward future AI consciousness

Survey result on philosophical attitudes toward AI consciousness.

Source paper

extracted_from

Taking AI Welfare Seriously

(2024) · Robert Long · Jeff Sebo · Patrick Butlin · Kathleen Finlinson +6

Neighborhood — ranked by edge-count

Claims (1)

claim

Computational functionalism is plausible and well-supported, so it would be a mistake to dismiss near-future AI welfare solely on the basis of high-level arguments against this assumption.
supports
Defense against biological substrate objections.

Communities (2)

community

Collective intelligence & distributed cognition
members_of
All minds are composites of parts; individual and collective intelligence unified under substrate-neutral principles.
Substrate neutrality of consciousness
members_of
Philosophical shift toward machine consciousness plausibility, documented by Bourget & Chalmers 2020 and Francken et al. 2022 surveys showing majority philosopher acceptance.

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.

Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.805
Central methodological claim of the paper.
Expert convergence on the question of AI consciousness is unlikely in the near term.claim0.802
Supports the premise that societal disagreement will persist rather than be resolved by scientific or philosophical authority.
Francken et al. 2022 survey of ASSC members: only 3% responded 'no' to machines having consciousnessfinding0.793
Survey result showing widespread expert openness to machine 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.claim0.791
Forward-looking assessment of how soon the method's results may have major ethical implications
Disagreement about AI consciousness is likely to arise and persist in society due to emotional bonds, theoretical considerations, and lack of expert consensus.claim0.785
Central empirical-sociological claim motivating the paper's inquiry.
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.hypothesis0.782
Motivates urgency of the assessment method
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.claim0.780
Justifies the multi-theory indicator approach rather than committing to a single theory
Successful deliberation about AI consciousness requires: seeking overlapping consensus, openness to reasonable compromise, sustaining justified democratic hope, and meeting the burden of recognition.claim0.777
The paper's concluding four-part synthesis of desiderata for navigating AI consciousness disagreement.