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Personalized Complementarity in Human-AI Collaboration

Publikation: KonferenzbeitragPapierBegutachtung

Abstract

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.
OriginalspracheEnglisch
Seitenumfang5
DOIs
PublikationsstatusVeröffentlicht - 1 Sep. 2024
VeranstaltungABIS 2024 - International Workshop on Personalization and Recommendation - Karlsruhe Institute of Technology, Karlsruhe, Deutschland
Dauer: 1 Sep. 20241 Sep. 2024
https://fg-abis.gi.de/veranstaltung/abis-2024

Workshop

WorkshopABIS 2024 - International Workshop on Personalization and Recommendation
KurztitelABIS'24
Land/GebietDeutschland
OrtKarlsruhe
Zeitraum01.09.202401.09.2024
Internetadresse

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