3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research
Ross Gruetzemacher, David Paradice
AI is widely thought to be poised to transform business, yet current perceptions of the scope of this transformation may be myopic. Recent progress in natural language processing i…
cs.AI2019★ 2 cited
Alternative Techniques for Mapping Paths to HLAI
Ross Gruetzemacher, David Paradice
The only systematic mapping of the HLAI technical landscape was conducted at a workshop in 2009 [Adams et al., 2012]. However, the results from it were not what organizers had hope…
cs.CY2019★ 3 cited
Forecasting Transformative AI: An Expert Survey
Ross Gruetzemacher, David Paradice, Kang Bok Lee
Transformative AI technologies have the potential to reshape critical aspects of society in the near future. However, in order to properly prepare policy initiatives for the arriva…