Enterprise AI Analysis
Policies and Guidelines for the Use of Artificial Intelligence in Latin American Journals Indexed in Scopus and Classified According to the Scimago Journal Rank (SJR)
This study analyzes the current state of guidelines regulating AI use in Latin American scientific journals indexed in Scopus/SJR. It finds that only 27.2% of journals have explicit guidelines, predominantly regulatory, prioritizing technical support while restricting human intellectual control. Higher quality journals are more likely to have these guidelines. The findings underscore the need for strengthened and harmonized editorial guidelines to safeguard transparency and scientific integrity.
Executive Impact
For enterprises leveraging AI in research, publishing, or knowledge management, this analysis highlights the fragmented regulatory landscape in Latin American academic publishing. Understanding these evolving guidelines is critical for ensuring compliance, maintaining scientific integrity, and setting internal policies for AI use in corporate research and development. It also identifies potential gaps in current organizational policies compared to emerging academic standards, particularly concerning authorship, data integrity, and ethical disclosure.
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Journals with AI Guidelines
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Permitted AI Use
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Journal Quartile Impact
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
| Category | Permitted Uses | Prohibited Uses | Grey Areas |
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| Reference Management |
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| Methodological Support |
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Asymmetry in Regulatory Coverage: Reviewers & Editors
Despite their central role, policies for reviewers (24.3%) and editors (16.9%) are significantly less developed than for authors. This gap raises concerns about confidentiality and the integrity of peer review and editorial decision-making.
Context: The study highlights a critical vulnerability in the regulatory landscape: while authors are increasingly guided on AI use, the gatekeepers of scientific quality—reviewers and editors—often lack explicit guidelines. This asymmetry can lead to inconsistencies, data leakage, and a dilution of human critical judgment in the evaluation process.
Challenge: Ensuring confidentiality of unpublished manuscripts and preserving human intellectual control when AI tools are used by reviewers and editors.
Solution: Establishment of clear procedural rules that safeguard confidentiality, ensure responsible use, and preserve the integrity of the evaluation process.
Significant Differences
In AI Guidelines Adoption by Quartile
Journals with higher visibility and impact (e.g., Q1) are more likely to adopt AI guidelines, reflecting greater organizational maturity and alignment with international standards.
Current Gap
Between AI Adoption & Regulation
The study reveals a significant gap between the rapid incorporation of AI tools in scientific production and the capacity of journals to regulate their use, posing risks to academic integrity and transparency.
Enterprise Process Flow
Initial AI Policy Formulation
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Permitted/Prohibited Use Definition
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Disclosure Requirements
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Role-Specific Guidelines (Authors, Reviewers, Editors)
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Integrity & Transparency Safeguards
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