A Searlean perspective on using LLM in scholarly work

From prohibition to integration: LLMs in scientific publishing

The growing use of large language models (LLMs) in scientific writing has intensified debates about authorship, originality, and research integrity. Critics often argue that LLM-generated text lacks originality because it is derived from existing literature. This Perspective challenges that assumption by arguing that s...

Large language models and neoliberal hegemony: an analysis of AI outputs on diversity

It is demonstrated that LLMs need the critical company of qualitative social sciences to point to the reproduction of power structures in their outputs, since they are embedded in their context and societies.

Understanding the “Understanding of AI”:

It is argued that consciousness is a sine qua non for understanding which is absent in the understanding of AI systems and that the age of AI demands a reformulation of the notion of understanding itself.

Walking on the DARKSIDE

The evidence supports an architectural claim: when an LLM forward pass is wrapped in an ontology-mediated auditing, structurally inevitable hallucination can be partially recovered.

The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse

Large language models (LLMs) are increasingly deployed in settings that require collective reasoning on complex, value-laden problems. Confidence in these deployments rests largely on benchmarks for verifiable tasks (mathematics, coding, coordination games), yet many of these applications concern problems where no obje...

The Ethics of Prompting Large Language Models in Academic Publishing.