Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 283

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Economic Policy for Artificial Intelligence

Agrawal, Ajay, Gans, Joshua, Goldfarb, Avi·2019·Innovation Policy and the Economy
DOI 10.1086/699935
Open this paper in CoChat — free account

Abstract

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 quality-adjusted drop in the price of prediction. How will this sharp drop in price impact society? Policy will influence the impact on two key dimensions: diffusion and consequences. First, in addition to subsidies and intellectual property (IP) policy that will influence the diffusion of AI in ways similar to their effect on other technologies, three policy categories—privacy, trade, and liability—may be uniquely salient in their influence on the diffusion patterns of AI. Second, labor and antitrust policies will influence the consequences of AI in terms of employment, inequality, and competition.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1086/699935

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 27 references

Cited by

See all 283

Metadata

Authors
Agrawal, A., Gans, J., & Goldfarb, A.
Venue
Innovation Policy and the Economy
Publisher
University of Chicago Press
Published
2019-01
Volume
19
Pages
139-159
ISSN
  • 1531-3468 (ISSN-L)
  • 1537-2618
DOI
10.1086/699935
OpenAlex
W2805075849
Cited by
283
References
27
FWCI
25.86
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Economic Policy for Artificial Intelligence. https://app.cochat.ai/papers/10.1086/699935
The paper
Agrawal, A., Gans, J., & Goldfarb, A. (2019). Economic Policy for Artificial Intelligence. Innovation Policy and the Economy. https://doi.org/10.1086/699935

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.