Six Challenges for Human-AI Co-learning

Conference paper (2019)

Authors

Karel Van Den Bosch TNO

Tjeerd Schoonderwoerd TNO

Romy Blankendaal TNO

M.A. Neerincx TNO, Interactive Intelligence -

Research Group

Interactive Intelligence () (TU Delft)

Explainable AI Theory of mind Mental model Human-agent teaming Co-active learning Hybrid teams

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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

The increasing use of ever-smarter AI-technology is changing the way individuals and teams learn and perform their tasks. In hybrid teams, people collaborate with artificially intelligent partners. To utilize the different strengths and weaknesses of human and artificial intelligence, a hybrid team should be designed upon the principles that foster successful human-machine learning and cooperation. The implementation of the identified principles sets a number of challenges. Machine agents should, just like humans, have mental models that contain information about the task context, their own role (self-awareness), and the role of others (theory of mind). Furthermore, agents should be able to express and clarify their mental states to partners. In this paper we identify six challenges for humans and machines to collaborate in an adaptive, dynamic and personalized fashion. Implications for research are discussed.

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