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A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda van der Gaag, Frank van Harmelen, Herke van Hoof, M. Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling

2020Computer377 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

IntellectComputer scienceHuman intelligenceArtificial intelligenceSet (abstract data type)Artificial intelligence, situated approachSymbolic artificial intelligenceMarketing and artificial intelligenceApplications of artificial intelligenceFocus (optics)Artificial general intelligenceComputational intelligenceCognitive scienceIntelligent decision support systemPsychologyEpistemologyProgramming languagePhilosophyOpticsPhysicsExplainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI