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Code of Ethics for the Use of AI Technologies in Scholarly Publishing
0
Zitationen
2
Autoren
2025
Jahr
Abstract
The integration of artificial intelligence (AI) into scientific research has revolutionized processes like data analysis, literature reviews, and manuscript preparation, enhancing efficiency. However, rapid AI adoption raises ethical concerns, including authorship disputes, misinformation, plagiarism, and intellectual property violations. This study examines AI’s ethical implications, evaluates EU regulations, and proposes mitigation measures. Findings highlight institutional policy gaps, with nearly half of researchers lacking AI guidelines. While the EU’s 2019 ethics guidelines stress transparency, accountability, and human oversight, fragmented IP laws and governance issues persist. The study advocates comprehensive ethical frameworks requiring AI disclosure, human agency preservation, and robust data privacy protocols. Balancing AI’s transformative potential with stringent ethical standards is crucial to uphold research integrity. Institutions and policymakers must prioritize clear regulations, transparency, and human oversight to prevent ethical breaches and sustain trust in scientific scholarship.
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