How can we ensure that AI-generated articles comply with academic ethics and standards?

Ensuring AI-generated articles adhere to academic ethics requires implementing robust technical safeguards and integrating rigorous human oversight. This goal is both necessary and feasible with systematic approaches. Key principles include establishing clear authorship transparency, preventing plagiarism, ensuring factual accuracy, and prohibiting deceptive manipulation. Necessary conditions involve meticulous training dataset curation, reliable source attribution algorithms, and explicit guidelines mandating human verification for claims, originality, and ethical acceptability. The scope applies universally, demanding thorough content evaluation before dissemination. Crucially, AI tools should never bypass human academic accountability for submission or publication decisions. Implementation necessitates developing specific organizational guidelines outlining acceptable AI use, proper disclosure, and mandated review steps. Actual steps involve integrating plagiarism detection and factual accuracy checks into AI workflows, conducting thorough peer/human expert review focused on ethical compliance and novelty, and maintaining clear oversight mechanisms assigning responsibility for verification. This upholds academic integrity, enhances credibility, prevents fraud, and preserves trust in scholarly work.