  From its inception, AI has had a rather ambivalent relationship to
humans---swinging between their augmentation and replacement. Now, as AI
technologies enter our everyday lives at an ever increasing pace, there is a
greater need for AI systems to work synergistically with humans. To do this
effectively, AI systems must pay more attention to aspects of intelligence that
helped humans work with each other---including social intelligence. I will
discuss the research challenges in designing such human-aware AI systems,
including modeling the mental states of humans in the loop, recognizing their
desires and intentions, providing proactive support, exhibiting explicable
behavior, giving cogent explanations on demand, and engendering trust. I will
survey the progress made so far on these challenges, and highlight some
promising directions. I will also touch on the additional ethical quandaries
that such systems pose. I will end by arguing that the quest for human-aware AI
systems broadens the scope of AI enterprise, necessitates and facilitates true
inter-disciplinary collaborations, and can go a long way towards increasing
public acceptance of AI technologies.
