It is argued that using LLMs in philosophical writing does not simply strengthen or weaken the tasks, skills, and methods involved in philosophical research; rather, it reorganizes them, potentially combining the displacement of established abilities with the emergence of new practices.
Abstract
Abstract This paper explores the contours of AI-mediated philosophy by engaging with both enhancement and diminishment accounts of LLM use from an interactionist perspective. It argues that using LLMs in philosophical writing does not simply strengthen or weaken the tasks, skills, and methods involved in philosophical research; rather, it reorganizes them, potentially combining the displacement of established abilities with the emergence of new practices. The article is divided into two parts. The first part expands the “cognitive enhancement versus cognitive diminishment” debate to consider the potential impact of LLMs on philosophical elaboration (Section 1), introducing the concept of “executive writing” and the fictional case of “Eyde & Second Thought” (Section 2). The second part highlights two core practices elicited by executive writing, analyzing the cognitive reorganization they entail: prompting, conceived as a way of thinking (Section 3), and supervising, understood as a meta-authorial practice (Section 4). Finally, the conclusion addresses the institutional and educational conditions under which LLMs may be incorporated into philosophical research.
Contemporary education is increasingly challenged by stagnant student performance in mathematics and science, characterized by a superficial grasp of core concepts and limited critical thinking. This crisis is further intensified by the proliferation of opaque answers from artificial intelligence systems. However, the...
Roberto Araya· International Journal of Tec...· 0 citations
Writing has long been understood as an epistemic activity: a way of developing thought, not merely expressing it. The generation effect in cognitive psychology shows that self-generated material is remembered and understood significantly better than passively received material, and writing research has long argued that...
Peter Dalsgaard· Proceedings of the 2026 Euro...· 0 citations
This narrative literature review asks what actually happens to the roles and professional identities of language teachers as Gen AI has massively intervened their work, with particular attention to English for Specific Purposes (ESP).
Gregorius Punto Aji, Angelina Kusuma Jelita Mawarni· International Journal of Edu...· 0 citations
When students use large language models for writing, the dominant explanation for disengagement is dispositional: they are over-reliant, and the remedy is to scaffold self-regulation. We argue that a structural explanation is needed, offering an alternative basis for design interventions to support appropriate AI-assis...
Artificial intelligence is being adopted in educational settings faster than its consequences are understood. We argue that the central risk is misalignment: AI that eliminates human effort erodes the very capacities education is meant to build. We organize this risk into an integrative framework of four interrelated d...
Lucile Favero, J. A. Pérez-Ortiz, Tanja Käser et al.· 0 citations
In this essay, I contend that matters of human-AI interaction, and most especially issues relating to AI safety, are not purely external technical matters: they also have a noetic, deeply philosophical, pre-technological dimension that is internal and should always be borne in mind. This is why this essay examines the...
Innocent I. Asouzu· Ezumezu: African Perspective...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.