4 papers
The unintended consequences of large language models as a labor-augmenting technology in science
Eamon Duede, Kevin Gross, M. J. Crockett +1
As a labor-augmenting technology, large language models (LLMs) have the potential to accelerate scientific activity across the research pipeline. But even if LLMs perform on par wi…
Critical Confabulation: Can LLMs Hallucinate for Social Good?
Peiqi Sui, Eamon Duede, Hoyt Long +1
LLMs hallucinate, yet some confabulations can have social affordances if carefully bounded. We propose critical confabulation (inspired by critical fabulation from literary and soc…
AI and the Decentering of Disciplinary Creativity
Eamon Duede
This paper examines the role of artificial intelligence in scientific problem-solving, with a focus on its implications for disciplinary creativity. Drawing on recent work in the p…
The Representational Status of Deep Learning Models
Eamon Duede
This paper aims to clarify the representational status of Deep Learning Models (DLMs). While commonly referred to as 'representations', what this entails is ambiguous due to a conf…