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.”

SocioLens project,

Claim LD01-SL-C08 (v1.0)

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
Publication status: Eligible for publication, with a qualifier
Verification state: Checked against the abstract of the primary source only. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: A statement of what this account predicts researchers would observe; the abstract states none, and the book was not read
Limitations: Only the publisher’s abstract was read; the book could not be reached; written in 2022 about machine learning generally, before ChatGPT
Source (as cited): Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022
Source type: Book (monograph) (recorded as “Monograph”)
Institutional position: Academic (affiliation not stated in the Crossref record)
Maturity of the evidence: Emerging evidence
Recorded date: 16 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022 (Book (monograph))
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Version

This is the current version, v1.0. Earlier versions stay available, and their records never change.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): INTERPRETATION (as printed: “INTERPRETATION”)
Publication status (coded): ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY)
Source type (coded): MONOGRAPH
Maturity (coded): EMERGING

#	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)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Esposito, Artificial Communication: How Algorithms Produce Social Intelligence, MIT Press, 2022” → Esposito, Artificial Communication: How Algorithms Produce… (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)

Cited by Living Debate versions

What kind of thing is generative AI, and does the answer predict anything? (v0.1) LD-01

Cite this page

SocioLens project. (2026, October 16). 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.” [Claim LD01-SL-C08, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld01-sl-c08/v1.0/

@misc{sociolens_ld01_sl_c08_v1_0,
  author = {{SocioLens project}},
  title = {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.”},
  year = {2026},
  date = {2026-10-16},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld01-sl-c08/v1.0/}},
  note = {Claim LD01-SL-C08, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

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; fixture fixtures/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".