93 citations · 153 across the 18 of their papers we have counts for
4 papers · 1 filter
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga +6
Placing a human in the loop may abate the risks of deploying AI systems in safety-critical settings (e.g., a clinician working with a medical AI system). However, mitigating risks…
Around the world in 60 words: A generative vocabulary test for online research
Pol van Rijn, Yue Sun, Harin Lee +5
Conducting experiments with diverse participants in their native languages can uncover insights into culture, cognition, and language that may not be revealed otherwise. However, c…
Large language models predict human sensory judgments across six modalities
Raja Marjieh, Ilia Sucholutsky, Pol van Rijn +2
Determining the extent to which the perceptual world can be recovered from language is a longstanding problem in philosophy and cognitive science. We show that state-of-the-art lar…
Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky, Thomas L. Griffiths
Should we care whether AI systems have representations of the world that are similar to those of humans? We provide an information-theoretic analysis that suggests that there shoul…