The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research

Published in arXiv preprint, 2020

Recommended citation: Ahmed, N., & Wahed, M. (2020). The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research. arXiv preprint arXiv:2010.15581. https://arxiv.org/abs/2010.15581

In this paper, we used Causal Inference methodologies and NLP (text extraction, topic modeling) on a novel dataset (273000 peer-reviewed articles from 63 top CS conferences) to examine the top knowledge-producing organizations in AI.

Media Coverages: VentureBeat, Scientific American, Axios, Marginal Revolution

Cited by: National Security Commission on Artificial Intelligence, Stanford AI Index-2021

Download paper here

Recommended citation: Ahmed, N., & Wahed, M. (2020). The de-democratization of ai: Deep learning and the compute divide in artificial intelligence research. arXiv preprint arXiv:2010.15581.