Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Citation network analysis and machine learning models on publishing data indicate that dot-com era patterns do not clearly predict an AI financial bubble, suggesting either an unprecedented form or no bubble at all.
citing papers explorer
-
Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.