19 citations · 24 across the 4 of their papers we have counts for
6 papers
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…
Forecasting AI Progress: A Research Agenda
Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez +2
Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for research efforts on AI safety and AI governance. While this is generally considered…
Exploring AI Futures Through Role Play
Shahar Avin, Ross Gruetzemacher, James Fox
We present an innovative methodology for studying and teaching the impacts of AI through a role play game. The game serves two primary purposes: 1) training AI developers and AI po…
The Transformative Potential of Artificial Intelligence
Ross Gruetzemacher, Jess Whittlestone
The terms 'human-level artificial intelligence' and 'artificial general intelligence' are widely used to refer to the possibility of advanced artificial intelligence (AI) with pote…
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…
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…