So, in light of these developments, how should social scientists think differently about people, the economy, and society? And how should the engineers who write these algorithms handle the social and ethical dilemmas their creations pose? "These are the kinds of questions you can't answer with just the technical solutions," says Dashun Wang, an associate professor of management and organizations at Kellogg. "These are fundamentally interdisciplinary issues." Indeed, economists seeking to predict how automation will impact the labor market need to understand which skills machines are best suited to perform.