Evidence map›Paper›PMID 40406610›Full record

ArticlePNAS nexus2025

The dual edges of AI: Advancing knowledge while reducing diversity.

Sukwoong Choi, Hyo Kang, Namil Kim, Junsik Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Video games help push the boundaries of AI.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sukwoong ChoiMassry School of Business, University at Albany, State University of New York, Albany, NY 12222, USA.ORCID https://orcid.org/0000-0001-6072-229X
Hyo KangSNU Business School, Seoul National University, Seoul 08826, Republic of Korea.ORCID https://orcid.org/0000-0002-5125-7215
Namil KimGraduate School of Information, Yonsei University, Seoul 03722, Republic of Korea.ORCID https://orcid.org/0000-0002-2689-014X
Junsik KimSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study how the interaction between human professionals and AI in advancing knowledge, using professional Go matches from 2003 to 2021. In 2017, an AI-powered Go program (APG) far surpassed the best human player, and professional players began learning from AI. Such human-AI interaction paved a new way to reassess historical Go knowledge and create new knowledge. We analyze

Indexed as

artificial intelligence (AI)knowledge creationknowledge diversityprofessional Go players

Identifiers

PMID40406610
PMCPMC12095800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.