Smart, quasi-autonomous robots and machines are replacing humans in workplaces all over the world. They learn fast, work hard, and certainly complain less. Intelligent technologies are increasingly delivering greater value for less money.
But “better than human” comes with its own managerial challenges. What happens when these algorithmic ensembles underperform? Who retrains “machine learning” underachievers?
