Humans and Machines
The Center for Humans & Machines conducts interdisciplinary science, to understand, anticipate, and shape major disruptions from digital media and Artificial Intelligence to the way we think, learn, work, play, cooperate and govern.
Learn more about the concepts that guide our research here.
Canonical Papers
Delegation to AI Can Increase Dishonest Behaviour
Although artificial intelligence enables productivity gains from delegating tasks to machines, it may facilitate the delegation of unethical behaviour. This risk is highly relevant amid the rapid rise of ‘agentic’ AI systems... Read more.
The Science Fiction Science Method
Predicting the social and behavioural impact of future technologies before they are achieved would enable us to guide their development and regulation before these impacts get entrenched. Here we describe . . . Read more.
Cooperating with Machines
We develop state-of-the-art machine-learning algorithms that cooperate with people and other machines at levels that rival human cooperation in two-player repeated games . . . Read more.
Bad Machines Corrupt Good Morals
As machines powered by AI influence humans’ behavior in ways that are both like and unlike the ways humans influence each other, worry emerges about the corrupting power of AI agents . . . Read more.
Machine Behavior
Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behavior of artificial intelligence systems is essential . . . Read more.
Machine Culture
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. We explore the notion of ‘machine culture’, culture mediated or generated by machines . . . Read more.
The Moral Machine Experiment
Adoption of self-driving, Autonomous Vehicles (AVs) promises to dramatically reduce the number of traffic accidents. But some inevitable accidents will require AVs to make tradeoffs . . . Read more.
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