A Research Agenda for Hybrid Intelligence
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Keywords
Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
We define hybrid intelligence (HI) as the combination of human and machine intelligence, augmenting human intellect and capabilities instead of replacing them and achieving goals that were unreachable by either humans or machines. HI is an important new research focus for artificial intelligence, and we set a research agenda for HI by formulating four challenges.
Over the course of history, the use of tools has played a crucial role in enabling human civilizations, cultures and economies: fire, the wheel, the printing press, the computer, and the Internet are just a few of humanity’s crucial innovations. Such tools have augmented human skills and thought to previously unachievable levels. Over the past several decades, artificial intelligence (AI) techniques, which allow humans to “scale up” by providing increasingly intelligent decision support, have become the latest addition to this toolset. Until now, however, these tools have been mostly used by experts. Hybrid intelligence (HI) can go well beyond this by creating systems that operate as mixed teams, where humans and machines cooperate synergistically, proactively, and purposefully to achieve shared goals, showing AI’s potential for amplifying instead of replacing human intelligence. This perspective on AI as HI is critical to our future understanding of AI as a way to augment human intellect as well as to our ability to apply intelligent systems in areas of crucial importance to society.
Z. Akata et al., "A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence," in Computer, vol. 53, no. 8, pp. 18-28, Aug. 2020, doi: 10.1109/MC.2020.2996587