Machine Learning Has a Flaw. It’s Gullible

Potential biases that limit the effectiveness of machine learning process technologies and the scope for human capital to be complementary in reducing such biases is explored by Rajshree Agarwal and Evan Starr at the University of Maryland’s Robert H. Smith School of Business and Prithwiraj Choudhury at Harvard Business School. The work is forthcoming in Strategic Management Journal as “Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation.”