A Multi-Dimensional Development and Deployment Framework for Hybrid Intelligence

Jacob Sherson, Baptiste Théo Michel Rabecq, Dominik Dellermann, Janet Frances Rafner

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

This paper introduces a novel multi-dimensional framework for developing and deploying AI-human systems, incorporating both technical and managerial design principles. The paper then applies the framework to four standard human-AI interaction patterns, including Human Out Of the Loop (HOOTL), Human On the Loop (HOTL), Human In the Loop (HITL), and Hybrid Intelligence (HI). The dimensions are used to succinctly describe the essential characteristics of each pattern, highlighting potential risks and benefits, such as end-user resistance, employee deskilling, value-misalignment and employee upskilling and business model reengineering. The framework provides a valuable tool for AI developers and managers to characterize their current solutions and optimize the integration of humans and machines in complex systems.
OriginalsprogEngelsk
TitelHHAI 2023 : Augmenting Human Intellect
RedaktørerPaul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
Antal sider4
UdgivelsesstedAmsterdam
ForlagIOS Press
Publikationsdato2023
Sider429-432
ISBN (Trykt)978-1-64368-394-2
ISBN (Elektronisk)978-1-64368-395-9
DOI
StatusUdgivet - 2023
NavnFrontiers in Artificial Intelligence and Applications
Vol/bind368
ISSN0922-6389

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