1 citations · 2 across the 7 of their papers we have counts for
8 papers
Large language models underestimate and partly misrepresent cultural variation in everyday norms
Kimmo Eriksson, Irina Vartanova, Pontus Strimling
A key aspect of culture is a society's norms about everyday behavior. How accurately do large language models (LLMs) represent cultural differences in such norms? To answer this qu…
Predicting consumer-technology ownership without a diffusion history
Irina Vartanova, Niels Selling, Jennifer Viberg Johansson +1
We test whether the perceived attributes of a consumer technology predict how widely it is owned. In a 2022 Prolific survey of US adults (n = 678), respondents rated 65 consumer te…
Technological Excellence Requires Human and Social Context
Karl Palmås, Mats Benner, Monica Billger +18
Breakthrough technologies increasingly shape social institutions, economic systems, and political futures. Yet models of research excellence associated with such technologies often…
AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
Pontus Strimling, Simon Karlsson, Irina Vartanova +1
A fundamental question in cognitive science concerns how social norms are acquired and represented. While humans typically learn norms through embodied social experience, we invest…
What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework
Kimmo Eriksson, Simon Karlsson, Irina Vartanova +1
As artificial intelligence rapidly transforms society, developers and policymakers struggle to anticipate which applications will face public moral resistance. We propose that thes…
GPT-4's One-Dimensional Mapping of Morality: How the Accuracy of Country-Estimates Depends on Moral Domain
Pontus Strimling, Joel Krueger, Simon Karlsson
Prior research demonstrates that Open AI's GPT models can predict variations in moral opinions between countries but that the accuracy tends to be substantially higher among high-i…