At Social Foundations of Computation, we build scientific foundations for machine learning and artificial intelligence in the social world. To chart and implement a society’s norms and expectations, we start from concepts and work our way towards applications. Challenging existing problem formulations when necessary, we think through how the use of machine learning distributes societal resources and opportunity. Computational tools to critically evaluate - and possibly contest - algorithmic systems and their impacts are a key component of our work. Our ultimate goal is to promote a positive role of artificial intelligence in society.
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Department Highlights
The emerging science of machine learning benchmarks

Training on the Test Task Confounds Evaluation and Emergence