The Socratic maieutic perspective offers a philosophical framework for rethinking the use of AI in scientific output. Instead of an oracle that provides answers, AI can be a dialogical partner that helps researchers to make latent knowledge explicit and thus reposition the discussion about authorship: the researcher remains the responsible epistemic agent, while AI acts as an intellectual midwife. … Read More →
Scientific Data Sovereignty in the tension between global openness and local autonomy
Scientific data sovereignty is essential for a truly equitable open science. Between the ideal of global openness and the risk of data extractivism, we must build local infrastructures, participatory governance and collaboration models grounded in reciprocity and justice. … Read More →
Scientific Integrity in the Age of AI and the challenges of transparency: Fraud, manipulation, and the new transparency challenges
Artificial intelligence radically transforms the challenges of scientific integrity. From paper mills to automated fraud generation, we face a crisis that requires new forms of transparency, detection and governance to preserve trust in science—combining technology, institutional reforms and international cooperation. … Read More →
The dangers of using AI in peer review [Originally published in Hora Campias in December/2025]
Within my academic life, I am always on ‘both sides of the counter,’ as an author and as a reviewer. It is work of high responsibility because we have a commitment to the excellence of scientific information and to improving the article. Currently, authors may use genAI in preparing their manuscripts with certain caveats, but there are strict restrictions regarding its use in peer review. … Read More →
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