Claim · 2017-10 · publication · Stated in source · Supported

The authors state that their goal is to refine a set of questions about artificial intelligence and economic growth and to contribute to an agenda for the field.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Artificial Intelligence and Economic Growth → states its contribution → The authors state that their goal is to refine a set of questions about artificial intelligence and economic growth and to contribute to an agenda for the field.

Where it appears

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Claim and evidence

Artificial Intelligence and Economic Growthstates its contribution ↓The authors state that their goal is to refine a set of questions about artificial intelligence and economic growth and to contribute to an agenda for the field.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2017-10 · publication Records dated 2017 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

Artificial Intelligence and Economic Growth

NBER Working Paper 23928 · 2017-10

Archived copy, captured 2021-03-03: Artificial Intelligence and Economic Growth

Cite the original source

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Source excerpt

“The goal throughout is to refine a set of critical questions about A.I. and economic growth and to contribute to shaping an agenda for the field.”

Location in source NBER Working Paper 23928, PDF p. 2, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Philippe Aghion; Benjamin F. Jones; Charles I. Jones
Version: Wayback capture of the NBER PDF (w23928); compared with the author-hosted Version 1.0 (web.stanford.edu/~chadj/AI.pdf, 2018 capture). Capture retrieved 2026-10-08 (SHA-256 a8e68273c738c80fe565afa60bc27ec5e8aaf3135011a0f760233896f1f2100c). Versions: NBER Working Paper 23928 (2017-10): checked; author copy (Stanford), version 1.0 (2017-10-10): compared; book chapter, University of Chicago Press (2019): not retrieved. Published version: Aghion, P., Jones, B. F., & Jones, C. I. (2019). Artificial intelligence and economic growth. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda (pp. 237–290). University of Chicago Press. https://doi.org/10.7208/chicago/9780226613475.003.0009 Working paper: NBER Working Paper No. 23928 (2017). https://doi.org/10.3386/w23928. Re-inspected: Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 a8e68273c738c80fe565afa60bc27ec5e8aaf3135011a0f760233896f1f2100c. (Merged on 2026-10-29 with the record of the re-inspection, source-aghion-jones-jones-2017-nber, by consistency audit fix B4.)
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Archive copy: Open archived copy, captured 2021-03-03: Artificial Intelligence and Economic Growth. An archive copy shows only what the archive retrieved on 2021-03-03. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-09.
Attribution: Philippe Aghion, Benjamin F. Jones, Charles I. Jones, “Artificial Intelligence and Economic Growth”, NBER Working Paper 23928, 2017-10.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (26 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the version quoted, as its source gives it (October 2017); other versions may word it differently.

Record ID kp-states-aghion-jones-jones-2017-ai-and-economic-growth-2