1.5k citations · 3.7k across the 63 of their papers we have counts for
7 papers · 1 filter
Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear
Levin Brinkmann, Hiromu Yakura, Sonia Nicoletti +9
What happens when AI machines express fear? Do humans engage differently depending on how they express it? And what does it take to design for affective human-AI interaction? We pr…
Time Machine Experiments: Using Historically-Bounded AI for Inquiry into the Human Mind
Hiromu Yakura, Robin Schimmelpfennig, Ezequiel Lopez-Lopez +5
Can interacting with someone from 1930, with no knowledge of what happened after, influence a person's perception of the past? People reason about the present against a picture of…
Group Selection Promotes Prosocial Prompts in Populations of LLM Agents
Luis Celiktemel, Edward Eichhorn, Levin Brinkmann +5
Current approaches to instill prosociality in large language model (LLM) agents often rely on humans specifying desired behaviors at the individual level, which does not guarantee…
A Theory of Appropriateness That Accounts for Norms of Rationality
Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz +10
We propose a society-first theory of normative appropriateness where individuals, modeled as pre-trained actors with cognitive architectures analogous to Large Language Models (LLM…
Social physics in the age of artificial intelligence
The Anh Han, Joel Z. Leibo, Tom Lenaerts +4
Artificial intelligence (AI) systems are rapidly becoming more capable, autonomous, and deeply embedded in social life. As humans increasingly interact, cooperate, and compete with…
The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
Alejandro H. Artiles, Martin Weiss, Levin Brinkmann +6
Scientific discovery is constrained not only by what is true, but by what is cognitively available to researchers. Many directions are coherent in light of the literature yet unlik…
Group Selection as a Safeguard Against AI Substitution
Qiankun Zhong, Thomas F. Eisenmann, Julian Garcia +1
Reliance on generative AI can reduce cultural variance and diversity, especially in creative work. This reduction in variance has already led to problems in model performance, incl…