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University of Michigan School of Information

Kwame Robinson

Kwame Robinson


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.



News about Kwame Robinson

UMSI research roundup. Robots, Blood Pressure and Data. Check out UMSI faculty and PhD student publications.
Robots, Blood Pressure and Data: UMSI Research Roundup

Recent UMSI faculty and PhD student publications. 

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Awarded Best Student Talk Award. Kwame Porter Robinson. Doctoral Candidate.
Kwame Porter Robinson earns Best Student Talk award for discussion on ethical artificial intelligence

PhD candidate Kwame Robinson led a talk on community based infrastructure for artificial intelligence at the Michigan Institute for Data Science ethical AI forum.

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