Implementation of Artificial Intelligence in Writing Letters of Recommendation

AI-generated LoRs were rated superior to traditional LoRs, particularly for lower-quality candidates. These findings suggest AI could serve as an adjunct to enhance LoR quality and standardization. Further research is needed to explore ethical considerations and AI's broader applicability in the letter-writing process.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-10-15
DOI
https://doi.org/10.7759/cureus.94627
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Artificial Intelligence in Writing Letters of Recommendation

Robert S. Allison, Jun Xiang, Courtney Pilkerton, Robert Levi Snedegar
1 citations
Cureus
Artificial Intelligence in Healthcare and Education
0.65
article

Implementation of Artificial Intelligence in Writing Letters of Recommendation

Robert S. Allison, Jun Xiang, Courtney Pilkerton, Robert Levi Snedegar
article en
1 citations

Abstract

AI-generated LoRs were rated superior to traditional LoRs, particularly for lower-quality candidates. These findings suggest AI could serve as an adjunct to enhance LoR quality and standardization. Further research is needed to explore ethical considerations and AI's broader applicability in the letter-writing process.

CureusVol. 17(10)
West Virginia University (US)
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.