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University of Michigan School of Information

Kwame Robinson

Kwame Robinson

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Kwame Porter Robinson is a tireless, creative problem solver with a variety research interests, including human interaction with artificial intelligence (HAII), applied HAII generative economics and applied machine learning. He has a background in electrical engineering, control systems, machine learning and architecting computational systems.

As a researcher, he studies human AI interaction with a large focus on economic power building in communities. His primary investigative techniques are quasi-experimental, experimental and simulation based. He largely uses quantitative and mixed-methods designs along with novel system development. Before academia he worked for several years in industry as CEO, research engineer, data scientist and machine learning engineer for both government and private corporations. Kwame is a Ph.D. student at the University of Michigan in the School of Information. He is advised by Dr. Robert and Dr. Eglash.