1.5k citations · 3.7k across the 63 of their papers we have counts for
10 papers · 1 filter
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann +6
In open-ended domains like art, autonomous agents must generate ideas that are both original and internally coherent, yet current Large Language Models (LLMs) either default to fam…
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
Prateek Gupta, Qiankun Zhong, Hiromu Yakura +2
A growing body of multi-agent studies with LLMs explores how norms and cooperation emerge in mixed-motive scenarios, where pursuing individual gain can undermine the collective goo…
The Science Fiction Science Method
Iyad Rahwan, Azim Shariff, Jean-François Bonnefon
Predicting the social and behavioral impact of future technologies, before they are achieved, would allow us to guide their development and regulation before these impacts get entr…
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…
Humans learn to prefer trustworthy AI over human partners
Yaomin Jiang, Levin Brinkmann, Anne-Marie Nussberger +3
Partner selection is crucial for cooperation and hinges on communication. As artificial agents, especially those powered by large language models (LLMs), become more autonomous, in…
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…
Dynamics of Algorithmic Content Amplification on TikTok
Fabian Baumann, Nipun Arora, Iyad Rahwan +1
Intelligent algorithms increasingly shape the content we encounter and engage with online. TikTok's For You feed exemplifies extreme algorithm-driven curation, tailoring the stream…
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These s…
Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists
Thomas F. Eisenmann, Andres Karjus, Mar Canet Sola +3
Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does exper…