1.5k citations · 3.7k across the 63 of their papers we have counts for
18 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…
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Valerio Capraro, Austin Lentsch, Daron Acemoglu +28
Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisc…
Machine Culture
Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notio…
Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation
Shahad Althobaiti, Ahmad Alabdulkareem, Judy Hanwen Shen +4
In this paper we conduct a longitudinal analysis of the structure of labour markets in the US over 7 decades of technological, economic and policy change. We make use of network sc…
Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches
Nils Köbis, Christopher Starke, Iyad Rahwan
Corruption continues to be one of the biggest societal challenges of our time. New hope is placed in Artificial Intelligence (AI) to serve as an unbiased anti-corruption agent. Eve…
Closing the AI Knowledge Gap
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen +6
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering. However, the use of the scientific method - specifically hypothesis tes…
Analyzing gender inequality through large-scale Facebook advertising data
David Garcia, Yonas Mitike Kassa, Angel Cuevas +4
Online social media are information resources that can have a transformative power in society. While the Web was envisioned as an equalizing force that allows everyone to access in…
Society-in-the-Loop: Programming the Algorithmic Social Contract
Iyad Rahwan
Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. Many c…
Small cities face greater impact from automation
Morgan R. Frank, Lijun Sun, Manuel Cebrian +2
The city has proven to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intell…
Superintelligence cannot be contained: Lessons from Computability Theory
Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta +3
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intel…
The social dilemma of autonomous vehicles
Jean-François Bonnefon, Azim Shariff, Iyad Rahwan
Autonomous Vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils-for example, running over pedestrians or sacrificing itself and…
Learning in Repeated Games: Human Versus Machine
Fatimah Ishowo-Oloko, Jacob Crandall, Manuel Cebrian +2
While Artificial Intelligence has successfully outperformed humans in complex combinatorial games (such as chess and checkers), humans have retained their supremacy in social inter…
Time Critical Social Mobilization: The DARPA Network Challenge Winning Strategy
Galen Pickard, Iyad Rahwan, Wei Pan +4
It is now commonplace to see the Web as a platform that can harness the collective abilities of large numbers of people to accomplish tasks with unprecedented speed, accuracy and s…