Integrity and Misconduct, Where Does Artificial Intelligence Lead?

ABSTRACT This paper, part of the third stage of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications. It concentrates on research integrity and misconduct, a ‘hot’ topic among the publishing community, in no small part due to the rise of AI. The interview‐based study, supported by an extensive literature review, covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. It provides a new and fresh take on the subject, using the ‘voices’ of ECRs to describe their views and practices regarding integrity and misconduct. We show that ECRs are clearly aware of research misconduct and questionable practice with three‐quarters saying so. A big indictment of the scholarly system, but, not surprising given a rising number of retractions and questionable journals. The main blame for this is levelled at the haste with which researchers publish and the volume of papers produced. ECRs also feel that things are likely to get worse with the advent of AI. They believe that they are aware of the problems and how to avoid the pitfalls but suspect that things are approaching a cliff‐edge, which can only be avoided with strong policies and an overhaul of the reputational system.

Authors

Institutions

Publication Details

Journal
Learned Publishing
Published
2025-05-08
DOI
https://doi.org/10.1002/leap.2013
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrity and Misconduct, Where Does Artificial Intelligence Lead?

Jorge Manuel Rias Revez, Marzena Świgoń, Abdullah Abrizah, Anthony Watkinson et al.
3 citations
Learned Publishing
Artificial Intelligence in Healthcare and Education
1.96
article

Integrity and Misconduct, Where Does Artificial Intelligence Lead?

Jorge Manuel Rias Revez, Marzena Świgoń, Abdullah Abrizah, Anthony Watkinson, David M. Nicholas, Eti Herman, David Clark, Blanca Rodríguez Bravo, Jie Xu
article en
3 citations

Abstract

ABSTRACT This paper, part of the third stage of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications. It concentrates on research integrity and misconduct, a ‘hot’ topic among the publishing community, in no small part due to the rise of AI. The interview‐based study, supported by an extensive literature review, covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. It provides a new and fresh take on the subject, using the ‘voices’ of ECRs to describe their views and practices regarding integrity and misconduct. We show that ECRs are clearly aware of research misconduct and questionable practice with three‐quarters saying so. A big indictment of the scholarly system, but, not surprising given a rising number of retractions and questionable journals. The main blame for this is levelled at the haste with which researchers publish and the volume of papers produced. ECRs also feel that things are likely to get worse with the advent of AI. They believe that they are aware of the problems and how to avoid the pitfalls but suspect that things are approaching a cliff‐edge, which can only be avoided with strong policies and an overhaul of the reputational system.

Learned PublishingVol. 38(3)
University of Lisbon (PT), University of Malaya (MY), Wuhan University (CN), Organic Research Centre (GB), University of Warmia and Mazury in Olsztyn (PL), Universidad de León (ES)
Universiti Malaya, Universidade de Lisboa, Wuhan University
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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.