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Personalized Complementarity in Human-AI Collaboration

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Uncertainty and the potential for complementarity between humans and AI have shaped a new kind of interaction, typically referred to as a collaborative relationship. In this paper, we pick up on the discussion of common issues in human-AI collaboration based on a literature review and further discuss ways to and challenges of personalized complementarity in human-AI relations. We hypothesize that a combination of reciprocal, mixed-initiative communication may support up-to-date mental models and therefore strengthen appropriate trust and reliance, ultimately leading to a higher chance of effectively exploiting existing complementarity potentials.

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Breckner, Karin; Neumayr, Thomas; Streit, Marc; Augstein, Mirjam (2024): Personalized Complementarity in Human-AI Collaboration. Mensch und Computer 2024 - Workshopband. DOI: 10.18420/muc2024-mci-ws11-206. Gesellschaft für Informatik e.V.. MCI-WS11: ABIS 2024 - International Workshop on Personalization and Recommendation. Karlsruhe. 1.-4. September 2024

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