As intelligent systems become more fully interactive with humans during the performance of our day- to-day activities, the role of trust must be examined more carefully. Trust conveys the concept that when interacting with intelligent systems, humans tend to exhibit similar behaviors as when interacting with other humans and thus may misunderstand the risks associated with deferring their decisions to a machine. Bias further impacts this potential risk for trust, or overtrust, in that these systems are learning by mimicking our own thinking processes, inheriting our own implicit biases. In this talk, we will discuss this phenomenon through the lens of intelligent systems that interact with people in scenarios that are realizable in the near-term.