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Agrawal, Gans, Goldfarb, “Economic Policy for Artificial Intelligence” (2018-06) articulates M04. Recasts machine learning as a fall in the price of prediction and asks how policy shapes its diffusion and consequences. Defines prediction and summarises the authors' programme on consequences of cheaper prediction. Copy claim link
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Supporting evidence: primary · 1 source
Date 2018-06 · publication Role Articulation Register (kind of text) Nonfiction Tier Tier 1. NBER working paper (core venue). Scope and limits (First passage) NBER Working Paper 24690, June 2018. Text layer reads "qualityadjusted" (hyphen lost at a line break). (Second passage) NBER Working Paper 24690, June 2018. Text layer reads "qualityadjusted" (hyphen lost at a line break).
The evidence 02 primary source Supports the claim
Economic Policy for Artificial Intelligence ↗ NBER Working Paper 24690 · 2018-06
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Source excerpt “Recent progress in artificial intelligence (AI) – a general purpose technology affecting many industries - has been focused on advances in machine learning, which we recast as a qualityadjusted drop in the price of prediction.” Location in source pdf page 2; abstract
Machine-checked · 2026-10-14
Source details and check notes Authors Ajay K. Agrawal; Joshua S. Gans; Avi Goldfarb Version Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 efbcb773f8553c7db82de09d8a58cadc1836f6cccba250273990531e7d8f7989. Canonical address Open the canonical source ↗ Accessed 2026-10-09 Language English (en) Attribution Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, “Economic Policy for Artificial Intelligence”, NBER Working Paper 24690, 2018-06. 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 M04-05 (research/economics-mainstream). The quotation (35 words) matched the retrieved current copy (SHA-256 efbcb773f8553c7db82de09d8a58cadc1836f6cccba250273990531e7d8f7989) in the pack's verification. Re-checked at admission on 2026-10-14 against a copy retrieved that day. primary source Supports the claim
Economic Policy for Artificial Intelligence ↗ NBER Working Paper 24690 · 2018-06
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “we explore the consequences of a drop in the quality-adjusted cost of prediction on organizations and on the nature of work. We define prediction as the ability to take known information to generate new information.” Location in source pdf page 5; section 2 Artificial Intelligence as a General Purpose Technology
Machine-checked · 2026-10-14
Source details and check notes Authors Ajay K. Agrawal; Joshua S. Gans; Avi Goldfarb Version Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 efbcb773f8553c7db82de09d8a58cadc1836f6cccba250273990531e7d8f7989. Canonical address Open the canonical source ↗ Accessed 2026-10-09 Language English (en) Attribution Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, “Economic Policy for Artificial Intelligence”, NBER Working Paper 24690, 2018-06. 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 M04-06 (research/economics-mainstream). The quotation (35 words) matched the retrieved current copy (SHA-256 efbcb773f8553c7db82de09d8a58cadc1836f6cccba250273990531e7d8f7989) in the pack's verification. Re-checked at admission on 2026-10-14 against a copy retrieved that day. 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 passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Cover "June 2018". Checked in a current copy; an archive capture was not available, so earlier bytes are not authenticated.
Record ID ec-m04-agrawal-gans-goldfarb-2018-economic-policy-for-ai-a