HEADLINER: How humans judge machines

Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action? Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action? In this presentation Cesar summarizes dozens of experiments designed to compare people’s judgments of humans and machines across a variety of situations: from algorithmic bias in hiring decisions, to autonomous weapons, self-driving vehicles, and labor displacement. We use these experiments to explore how people’s bias varies with a scenario’s moral dimensions and with the demographic characteristics of those evaluating them. Together, these results provide a fine-grained understanding of when we are biased in favor or against machines, and what are the factors that help explain these biases.