230 citations · 238 across the 6 of their papers we have counts for
3 papers · 1 filter
Predictable Artificial Intelligence
Lexin Zhou, Pablo A. Moreno-Casares, Fernando Martínez-Plumed +12
We introduce the fundamental ideas and challenges of Predictable AI, a nascent research area that explores the ways in which we can anticipate key validity indicators (e.g., perfor…
Inferring Capabilities from Task Performance with Bayesian Triangulation
John Burden, Konstantinos Voudouris, Ryan Burnell +3
As machine learning models become more general, we need to characterise them in richer, more meaningful ways. We describe a method to infer the cognitive profile of a system from d…
Between Progress and Potential Impact of AI: the Neglected Dimensions
Fernando Martínez-Plumed, Shahar Avin, Miles Brundage +3
We reframe the analysis of progress in AI by incorporating into an overall framework both the task performance of a system, and the time and resource costs incurred in the developm…