Print Email Facebook Twitter Six Challenges for Human-AI Co-learning Title Six Challenges for Human-AI Co-learning Author van den Bosch, K. Schoonderwoerd, T.A.J. Blankendaal, R.A.M. Neerincx, M.A. Contributor Schwarz, J. (editor) Sottilare, R.A. (editor) Publication year 2019 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. Subject Co-active learningExplainable AIArtificial intelligenceBehavioral researchCognitive systemsHuman computer interactionActive LearningHuman-agent teamingHybrid teamsMental modelTheory of mindsLearning systems To reference this document use: http://resolver.tudelft.nl/uuid:55f2e053-7354-4276-8436-8387bf92fa3a DOI https://doi.org/10.1007/978-3-030-22341-0_45 TNO identifier 868465 Publisher Springer, Cham ISBN 9783030223403 ISSN 3029-743 Source Adaptive Instructional Systems. HCII 2019. Lecture Notes in Computer Science, 11597 (11597), 572-589 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.