Pith Number

pith:2OZL2GXY

pith:2023:2OZL2GXYXLENUMGL6F3AHQBCCE

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Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Axel Constant, Chris Frith, Colin Klein, Eric Elmoznino, Eric Schwitzgebel, George Deane, Grace Lindsay, Jonathan Birch, Jonathan Simon, Liad Mudrik, Matthias Michel, Megan A. K. Peters, Patrick Butlin, Robert Long, Rufin VanRullen, Ryota Kanai, Stephen M. Fleming, Xu ji, Yoshua Bengio

No current AI systems are conscious, but there are no obvious technical barriers to building ones that are.

arxiv:2308.08708 v3 · 2023-08-17 · cs.AI · cs.CY · cs.LG · q-bio.NC

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

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.

C2weakest assumption

That the indicator properties extracted from biological theories of consciousness remain valid and sufficient when applied to artificial computational systems whose underlying mechanisms differ substantially from brains.

C3one line summary

No current AI systems exhibit the indicator properties derived from established scientific theories of consciousness, yet there appear to be no fundamental technical obstacles to implementing those properties in future systems.

References

6 extracted · 6 resolved · 2 Pith anchors

[1] NONet: Unsupervised scene decomposition and representation 1901 · arXiv:1901.11390

[2] arXiv preprint arXiv:2006.16225 , year= 2006

[3] Sources of richness and ineffability for phenomenally conscious states.arXiv:2302.06403. Johnson, L. S. M., 2022. The Ethics of Uncertainty: Entangled Ethical and Epistemic Risks in Disorders of Consc 2022

[4] Interactive Language : Talking to robots in real time 2021

[5] Attention Is All You Need 2016 · arXiv:1706.03762

Formal links

2 machine-checked theorem links

Cited by

22 papers in Pith

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AI Consciousness and Existential Risk

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On the evolutionary cognitive pressure for experiential awareness: do machines need it?

Receipt and verification

First computed	2026-05-17T23:38:15.243993Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d3b2bd1af8bac8da30cbf17603c022111684579fe172e81e98b94e9983d38e82

Aliases

arxiv: 2308.08708 · arxiv_version: 2308.08708v3 · doi: 10.48550/arxiv.2308.08708 · pith_short_12: 2OZL2GXYXLEN · pith_short_16: 2OZL2GXYXLENUMGL · pith_short_8: 2OZL2GXY

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2OZL2GXYXLENUMGL6F3AHQBCCE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d3b2bd1af8bac8da30cbf17603c022111684579fe172e81e98b94e9983d38e82

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2e898e56e2cc1c2f0c971fe4d8107a7d3575892c4b47121ade0f88ddba2a93e4",
    "cross_cats_sorted": [
      "cs.CY",
      "cs.LG",
      "q-bio.NC"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-08-17T00:10:16Z",
    "title_canon_sha256": "6c11452b5d3bead51e4b3c3cf7ac96bd7d27b0923c5f3c8b2bb21c208bcc81a2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2308.08708",
    "kind": "arxiv",
    "version": 3
  }
}