Claim LD01-SL-C08 (v1.0)
Esposito argues that comparing algorithms with human intelligence is misleading and proposes thinking of them “not in terms of artificial intelligence but in terms of artificial communication”: if machines contribute to social intelligence, “it will not be because they have learned how to think like us but because we have learned how to communicate with them.”
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- When AI output goes wrong at work, who answers for it?Machines contribute to social intelligence because people learn to communicate with them.
Provenance and status
- Claim type
- INTERPRETATION (as printed: “INTERPRETATION”)
- Publication status
- ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
- Does not license
- A statement of what this account predicts researchers would observe; the abstract states none, and the book was not read
- Source (field 6, as printed)
- Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022
- Source type (field 7)
- MONOGRAPH (as printed: “Monograph”)
- Institutional position
- Academic (affiliation not stated in the Crossref record)
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-16
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD01-SL-C08.
Pinned Sources (field 6, version-specific)
- “Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022” → SRC-SL-ESPOSITO-MIT-PRESS-2022--v1.0 — Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022; class MONOGRAPH (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD01-SL-C08 | — |
| 2 | PUBLIC-FACING CLAIM | Esposito argues that comparing algorithms with human intelligence is misleading and proposes thinking of them “not in terms of artificial intelligence but in terms of artificial communication”: if machines contribute to social intelligence, “it will not be because they have learned how to think like us but because we have learned how to communicate with them.” | — |
| 3 | CLAIM TYPE | INTERPRETATION | base_types: INTERPRETATION |
| 4 | RESEARCH STRAND | A — What each account says generative AI is, and what it predicts | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022 | source_ids: SRC-SL-ESPOSITO-MIT-PRESS-2022 |
| 7 | SOURCE TYPE | Monograph | classes: MONOGRAPH |
| 8 | INSTITUTIONAL POSITION | Academic (affiliation not stated in the Crossref record) | — |
| 9 | SCOPE | Machine learning and algorithms in social life (lists, profiling, recommendation); written before generative chat assistants were widely available | — |
| 10 | DESIGN | Theoretical monograph (as described in the publisher’s abstract) | — |
| 11 | SAMPLE / DATASET | Not applicable | — |
| 12 | MODEL / TOOL / VERSION | Algorithms using deep learning and big data; not generative chat assistants specifically | — |
| 13 | COMPARATOR | Human intelligence as a model for machines | — |
| 14 | MAIN RESULT | The relevant question is communication with algorithms, a partner that is “not random and is completely controlled, although not by the processes of the human mind,” not whether they think | — |
| 15 | INFERENTIAL TARGET | What concept fits machines that take part in communication | — |
| 16 | DOES NOT LICENSE | A statement of what this account predicts researchers would observe; the abstract states none, and the book was not read | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED ABSTRACT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Only the publisher’s abstract was read; the book could not be reached; written in 2022 about machine learning generally, before ChatGPT | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | A later reading of the same tradition: LD01-SL-C09; a study looking for its signature in dialogue: LD01-SL-C26 | — |
| 20 | GEOGRAPHY / LANGUAGE | Not applicable / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not analysed in this claim | — |
| 22 | R01 / FIELD-MAP LINKS | LD-01, T4, D7 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | A statement in the book of observable differences that the account predicts | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH QUALIFIER | state: ELIGIBLE · qualifiers: QUALIFIED |
| 25 | RECORDED DATE | 2026-10-16 | — |
Field 22 references resolved against Field Map v0.2: LD-01 (LIVING_DEBATE); T4 (TENSION); D7 (DOMAIN)
Cited by Living Debate versions
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 43563ca307a972c79dcd63796d69bc302934b618fcb0683b5a820f93ed023a50.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD01-SL-C08 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 08 — LD01-SL-C08” SHA-256
4918d6d4640f15fc06c86a0385001cd163802e51a2c68d9b541bcbb05327e0e6; fixturefixtures/authored/claims/LD01-SL-C08--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD01-SL-C08 v1.0); the first version of a new Claim of the LD-01 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD01-SL-C08 v1.0" (Project Lead (Claude, AI), 2026-10-16); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-ESPOSITO-MIT-PRESS-2022--v1.0 — basis: field 6 of ENTRY 08 — LD01-SL-C08 cites "Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-ESPOSITO-MIT-PRESS-2022--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022".