Generative AI: Opportunities, Risks, and Responsibilities for Oral Sciences

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F25%3A10504374" target="_blank" >RIV/00216208:11110/25:10504374 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=nRcDp6YWa~" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=nRcDp6YWa~</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/00220345251356408" target="_blank" >10.1177/00220345251356408</a>

Result language

angličtina

Original language name

Generative AI: Opportunities, Risks, and Responsibilities for Oral Sciences

Original language description

Generative artificial intelligence (AI) has the capability to generate new content-including text, code, imagery, video, and speech-based on human prompts and is entering dental and oral research. By retrieving, analyzing, summarizing, and contextualizing vast datasets, generative AI offers substantial potential to enhance scientific workflows. It can improve documentation, communication, and reproducibility while saving time and accelerating discovery. However, its integration into research brings significant ethical, societal, and scientific challenges. Concerns include embedded data biases, automation bias, overreliance, and error propagation, all requiring critical human oversight. Furthermore, generative AI raises complex issues around plagiarism, fraud, attribution, and reproducibility, compounded by the potential for AI &quot;hallucinations&quot; or fabricated content. Addressing these concerns demands transparency, robust verification processes, ethical compliance, and clear documentation distinguishing synthetic from real-world data. Several scientific and regulatory bodies have published guidelines to support responsible AI use. Recommendations relevant to scientists in dental, oral, and craniofacial research include transparent disclosure of AI tools and methods, thorough verification of AI outputs, ethical oversight, and active monitoring. Scientists are urged to work collaboratively with stakeholders to enforce these principles and engage the public in the evolving discourse. The risk of misuse, particularly through fraudulent AI-generated publications, is growing. Paper mills exploiting generative AI can produce fabricated or manipulated articles, which may mislead the scientific community and distort evidence bases. Coordinated action, involving journals, institutions, and ethics bodies, is essential to combat these threats. As generative AI continues to evolve, adaptive and harmonized guidelines will be necessary to safeguard scientific integrity. Researchers, reviewers, and editors must play a proactive role in ensuring that AI serves to advance-not undermine-the quality and trustworthiness of dental and oral science.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30208 - Dentistry, oral surgery and medicine

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Dental Research

ISSN

0022-0345

e-ISSN

1544-0591

Volume of the periodical

104

Issue of the periodical within the volume

13

Country of publishing house

US - UNITED STATES

Number of pages

3

Pages from-to

1429-1431

UT code for WoS article

001593737400001

EID of the result in the Scopus database

2-s2.0-105019364758