Erik Brynjolfsson, director of the Massachusetts Institute of Technology Initiative on the Digital Economy, said at a House hearing that stakeholders should work on correcting biases in artificial intelligence technology, Nextgov reported Friday.
Brynjolfsson told lawmakers during a hearing with the House Committee on Science, Space and Technology that systems driven by machine learning have a tendency to replicate human decisions based on a set of biases. He said that stakeholders must invest in efforts to discover new ways of detecting prejudices which may impact activities such as hiring and credit loan applications.
Rebekah Kowalski, vice president of manufacturing services at ManpowerGroup, suggested enlisting a “digital era enterprise ethicist” to help entities eliminate bias. Sue Ellspermann, president of Ivy Tech Community College, recommended that the National Science Foundation support efforts to provide education on emerging technology to academic institutions beyond known research institutes.
“Understanding the human-robot interaction is really critical to all of the progress we want from manufactacturing, and farms and offices of the future,” added Arthur Lupia, assistant director of the Directorate for Social, Behavioral and Economic Sciences.