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Oil & Water? Diffusion of AI Within and Across Scientific Fields
This study empirically investigates claims of the increasing ubiquity of artificial intelligence (AI) within roughly 80 million research publications across 20 diverse scientific fields, by examining the change in scholarly engagement with AI from 1985 through 2022.
Apriori Knowledge in an Era of Computational Opacity: The Role of AI in Mathematical Discovery
Computation is central to contemporary mathematics.
The Representational Status of Deep Learning Models
This paper aims to clarify the representational status of Deep Learning Models (DLMs).
Deep Learning Opacity in Scientific Discovery
In this paper, I argue that the disconnect between philosophical pessimism and scientific optimism is driven by a failure to examine how AI is actually used in science.
The Diminishing Returns of Masked Language Models to Science
Transformer-based masked language models such as BERT, trained on general corpora, have shown impressive performance on downstream tasks.
The Wisdom of Polarized Crowds
Our analysis then reveals that polarized teams---those consisting of a balanced set of politically diverse editors---create articles of higher quality than politically homogeneous teams.
