1.5k citations · 2k across the 14 of their papers we have counts for
15 papers
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…
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…
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 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…
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…
Artificial Intelligence can facilitate selfish decisions by altering the appearance of interaction partners
Nils Köbis, Philipp Lorenz-Spreen, Tamer Ajaj +3
The increasing prevalence of image-altering filters on social media and video conferencing technologies has raised concerns about the ethical and psychological implications of usin…
Lie detection algorithms attract few users but vastly increase accusation rates
Alicia von Schenk, Victor Klockmann, Jean-François Bonnefon +2
People are not very good at detecting lies, which may explain why they refrain from accusing others of lying, given the social costs attached to false accusations - both for the ac…
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation
Edmond Awad, Sydney Levine, Max Kleiman-Weiner +5
When a semi-autonomous car crashes and harms someone, how are blame and causal responsibility distributed across the human and machine drivers? In this article, we consider cases i…
Cooperating with Machines
Jacob W. Crandall, Mayada Oudah, Tennom +7
Since Alan Turing envisioned Artificial Intelligence (AI) [1], a major driving force behind technical progress has been competition with human cognition. Historical milestones have…
Experimental Assessment of Aggregation Principles in Argumentation-enabled Collective Intelligence
Edmond Awad, Jean-François Bonnefon, Martin Caminada +2
On the Web, there is always a need to aggregate opinions from the crowd (as in posts, social networks, forums, etc.). Different mechanisms have been implemented to capture these op…
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…
Analytical reasoning task reveals limits of social learning in networks
Iyad Rahwan, Dmytro Krasnoshtan, Azim Shariff +1
Social learning -by observing and copying others- is a highly successful cultural mechanism for adaptation, outperforming individual information acquisition and experience. Here, w…
On the Qualitative Comparison of Decisions Having Positive and Negative Features
Didier Dubois, Hélène Fargier, Jean-François Bonnefon
Making a decision is often a matter of listing and comparing positive and negative arguments. In such cases, the evaluation scale for decisions should be considered bipolar, that i…