7 papers
Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions
Matthew Riemer, Tommaso Tosato, Amin Memarian +4
This position paper argues that AI agents with chain-of-thought reasoning capabilities are predisposed to exhibit collusive behavior and should be required to obtain behavioral cer…
EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations
Sneheel Sarangi, Maximilian Puelma Touzel, Aurélien Bück-Kaeffer +3
LLMs are increasingly deployed to simulate social interactions, yet many of the existing simulators remain ad hoc and monolithic. This lack of architectural standardization prevent…
The fitness landscape of social norms in social dilemmas
Maximilian Puelma Touzel
By specifying behaviour across multiple agents, social norms are a coordination approach to resolving social dilemmas. Decentralized and wide adoption can be achieved by norms whos…
The Cookbook: Design Space of LLM-based Social Simulations
Aurélien Bück-Kaeffer, Sneheel Sarangi, Maximilian Puelma Touzel +3
Studies attempting to simulate human behavior with grow in numbers while LLM-only social networks have started appearing outside of controlled settings…
: A Social Media User Dataset for LLM Persona Evaluation and Training
Aurélien Bück-Kaeffer, Je Qin Chooi, Dan Zhao +5
Large language models (LLMs) offer promising capabilities for simulating social media dynamics at scale, enabling studies that would be ethically or logistically challenging with h…
Veracity: An Open-Source AI Fact-Checking System
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau +8
The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI…