5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CY2023★ 5 cited
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Elizabeth Seger, Noemi Dreksler, Richard Moulange +19
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI mode…
cs.CY2023
Augmented Collective Intelligence in Collaborative Ideation: Agenda and Challenges
Emily Dardaman, Abhishek Gupta
AI systems may be better thought of as peers than as tools. This paper explores applications of augmented collective intelligence (ACI) beneficial to collaborative ideation. Design…
cs.CY2023
Asking Better Questions -- The Art and Science of Forecasting: A mechanism for truer answers to high-stakes questions
Emily Dardaman, Abhishek Gupta
Without the ability to estimate and benchmark AI capability advancements, organizations are left to respond to each change reactively, impeding their ability to build viable mid an…