Evidence map›Paper›PMID 37824610›Full record

ArticleScience advances2023

Using artificial intelligence to assess personal qualities in college admissions.

Benjamin Lira, Margo Gardner, Abigail Quirk, Cathlyn Stone, Arjun Rao, Lyle Ungar, Stephen Hutt, Louis Hickman, Sidney K D'Mello, Angela L Duckworth

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. AI assessment changes human behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

10 authors.

Benjamin LiraUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-5328-0657
Margo GardnerUniversity of Colorado-Boulder, Boulder, CO, USA.
Abigail QuirkUniversity of Pennsylvania, Philadelphia, PA, USA.
Cathlyn StoneUniversity of Colorado-Boulder, Boulder, CO, USA.
Arjun RaoUniversity of Colorado-Boulder, Boulder, CO, USA.
Lyle UngarUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2047-1443
Stephen HuttUniversity of Denver, Denver, CO, USA.ORCID 0000-0002-7041-7472
Louis HickmanVirginia Tech, Blacksburg, CO, USA.ORCID 0000-0002-2752-7705
Sidney K D'MelloUniversity of Colorado-Boulder, Boulder, CO, USA.ORCID 0000-0003-0347-2807
Angela L DuckworthUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2644-3729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal qualities like prosocial purpose and leadership predict important life outcomes, including college success. Unfortunately, the holistic assessment of personal qualities in college admissions is opaque and resource intensive. Can artificial intelligence (AI) advance the goals of holistic admissions? While cost-effective, AI has been criticized as a "black box" that may inadvertently penalize already disadvantaged subgroups when used in high-stakes settings. Here, we consider an AI approach to assessing personal qualities that aims to overcome these limitations. Research assistants and admissions officers first identified the presence/absence of seven personal qualities in

Indexed as

Artificial IntelligenceLanguageHumansUniversities

Identifiers

PMID37824610
PMCPMC10569720

What OpenQuestion holds

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LicenceCC BY
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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.