It is argued that researchers and institutions can position generative AI both as a tool for epistemic reflexivity and as an object that must be examined reflexively.
Abstract
Using generative AI in science necessitates that institutions and researchers practice epistemic reflexivity to protect intellectual diversity and resist the threat of scientific monoculture. We argue that researchers and institutions can position generative AI both as a tool for epistemic reflexivity and as an object that must be examined reflexively.
Generative artificial intelligence (GenAI) offers opportunities for dialogic scaffolding, scientific reasoning, formative feedback, and instructional design, while raising cognitive, epistemic, didactic, and ethical risks. This review synthesized 34 publications from 2023 to 2026 that were identified through searches o...
Meryem Janati Idrissi, Omar Aarab, Elgadi Mabrouk et al.· The 1st International Online...· 0 citations
What would it take to convince us that an AI is conscious? Philosophers and scientists have debated the idea of consciousness for centuries, to no clear conclusion. The stakes of the argument have ramped up as AI accelerates. What are the defining characteristics of a conscious AI?
This seminar explores practical tools for critical thinking in an information environment shaped by AI, scientific complexity, and persuasive misinformation to strengthen the epistemic quality of their research and scholarly writing.
This workshop explores how AI can be used responsibly across the research lifecycle, from literature discovery and question development to computational analysis, writing, and publication and gives a practical framework for deciding what AI can assist with and what must remain human-led.
Moses Boudourides· 0 citations
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