Video Abstract: Challenges and Opportunities in Human-Machine Partnership 

  • Eric Horvitz, Subbarao Kambhampati, Milind Tambe | Microsoft, Arizona State University, University of Southern California

The new wave of excitement about AI in recent years has been based on successes in perception tasks or on domains with limited and known dynamics. Because machines have achieved human parity in accuracy for image recognition and speech recognition and have beaten human champions on games such as Go and Poker, they have led to an impression of a future in which AI systems function alone. However, for more complex and open-ended tasks, current AI technologies have limitations. Future deployments of AI systems in daily life are likely to emerge from the complementary abilities of humans and machines and require close partnerships between them. The goal of this session is to highlight the potential of human-machine partnership through real-world applications. In addition, the speakers aim to identify challenges for research and development that, when solved, will build towards successful AI systems that can partner with people.

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