What is Left for Us? Second Scholarship Against the Degradation of Research by AI
We argue that generative AI can degrade research by eroding the very practices through which scholarly judgement is formed. As constitutive conditions for the production and validation of knowledge, these practices cannot be reduced to the outputs of research, which is what AI tools so effectively simulate. When scholars delegate central tasks of inquiry to Large Language Models (LLMs), they may stop engaging in these practices and lose the formation they provide: the output may improve while the researcher fails to develop. Against this risk, merely keeping humans "in the loop" as prompters or quality checkers of AI outputs is insufficient to preserve research as a site of intellectual f...
| Authors | Claudio Novelli, Luciano Floridi |
|---|---|
| Primary category | cs.AI |
| Published | 4 July 2026 |
| Last updated at source | 13 October 2026 |
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