Subbarao Kambhampati
[Slides at https://goo.gl/9gBRVJ ] Research in AI suffers from a longstanding ambivalence to humans–swinging as it does, between their replacement and augmentation. 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 atten tion to aspects of intelligence that helped humans work with each other–including emotional and 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.
Source
Challenges of Human-Aware AI Systems (Subbarao Kambhampati UMD DAA Colloquium; Courtesy UMD CS)
