When Do We Trust Machines?

In this presentation, I answer the question "when do we trust machines?" In answer to this question, I use a "trust heatmap" in order to illustrate how the answer depends on two key elements: how often machines make mistakes and the costs or consequences of these mistakes. Figure 1: The AI Heat Map: Predictability vs Cost per Error I show that automation occurs when problems cross an "automation frontier" when the risks are sufficiently reduced either through better data and algorithms, or because of regulation or an expression of our preferences. When used in this way, the heatmap can be used to predict what kinds of tasks are currently amenable to automation and those where humans should maintain control. This ideas are presented in TEDx talk, entitled "When Do We Trust Machines?"