Causation in Terms of Production

Understanding causation is one of the crucial frontiers of discovery in artificial intelligence, where we increasingly depend on machine learning models that inadequately represent causal relations. Philosophical work analysing the nature of causation lays crucial foundations both for advancing AI itself, and for the many deployments of causal reasoning necessary to develop democratically legitimate AI.

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Promoting Fairness in Online Attention

In this project, we aim to link attention metrics and communication strategies to real world actions. In particular, we start by contrasting popularity and engagement of online social movements. We then link the measurements to real-world metrics of these activities, as measured by participant turnout, election outcome, legislative success, and others. Answers to these questions will empower content producers, consumers, and hosting platforms to channel attention in mutually beneficial, and socially responsible ways.

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