A Multi-Dimensional Development and Deployment Framework for Hybrid Intelligence

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

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationHHAI 2023 : Augmenting Human Intellect
EditorsPaul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
Number of pages4
Place of publicationAmsterdam
PublisherIOS Press
Publication date2023
Pages429-432
ISBN (Print)978-1-64368-394-2
ISBN (Electronic)978-1-64368-395-9
DOIs
Publication statusPublished - 2023
SeriesFrontiers in Artificial Intelligence and Applications
Volume368
ISSN0922-6389

Keywords

  • Hybrid Intelligence
  • Human-Centered AI
  • Human-in-the-loop AI
  • Organizational learning

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