Algorithm & Blues: Machine-aided personnel decisions aim for fairness, risk side effects

By | December 3, 2020
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When it comes to making human resources decisions, can humans be fair? What about relying on algorithms to make decisions instead? The answer to the first question is not always, which leads some business leaders to pursue the second. Yet, it turns out decisions made by machines are perceived as even less fair than those made by humans.

The conclusions come from a research study co-authored by Derek Harmon, assistant professor of strategy at the Ross School of Business. In an interview with Michigan News, Harmon discusses the research, as well as the implications as we careen ever closer toward a world where algorithms dominate our professional, personal, and social spaces.