467 citations · 699 across the 37 of their papers we have counts for
12 papers · 1 filter
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…
Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research
Raluca Rilla, Tobias Werner, Hiromu Yakura +2
Online behavioural research faces an emerging threat as participants increasingly turn to large language models (LLMs) for advice, translation, or task delegation: LLM Pollution. W…
Experimental Evidence for the Propagation and Preservation of Machine Discoveries in Human Populations
Levin Brinkmann, Thomas F. Eisenmann, Anne-Marie Nussberger +4
Intelligent machines with superhuman capabilities have the potential to uncover problem-solving strategies beyond human discovery. Emerging evidence from competitive gameplay, such…
Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation
Mengchen Dong, Levin Brinkmann, Omar Sherif +4
Experimental evidence on worker responses to AI management remains mixed, partly due to limitations in experimental fidelity. We address these limitations with a customized workpla…
Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7
From the printing press to social media, innovations in communication technology have repeatedly reshaped how ideas spread through human culture. Chatbots powered by generative art…
False consensus biases AI against vulnerable stakeholders
Mengchen Dong, Jean-François Bonnefon, Iyad Rahwan
The deployment of AI systems for welfare benefit allocation allows for accelerated decision-making and faster provision of critical help, but has already led to an increase in unfa…