Use Cases for Prospective Sensemaking of Human-AI-Collaboration

Fuente: arXiv
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Main Authors: Sudeeptha, Ishara, Mueller, Wieland, Leyer, Michael, Richter, Alexander, Nolte, Ferry
Format: Preprint
Published: 2024
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author Sudeeptha, Ishara
Mueller, Wieland
Leyer, Michael
Richter, Alexander
Nolte, Ferry
author_facet Sudeeptha, Ishara
Mueller, Wieland
Leyer, Michael
Richter, Alexander
Nolte, Ferry
contents This study explores the potential of Human-AI Collaboration (HAIC) use cases as a tool for prospective sensemaking. Based on 14 interviews with executives of an automotive company, we identify and categorize HAIC use cases that can help organizations anticipate and strategically respond to the impact of HAIC. Feedback from the case company shows that our systematic mapping of HAIC use cases along the value chain and group tasks enables a structured understanding of the potential role of AI and underscores the importance of strategic foresight when integrating AI into organizational processes.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10812
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Use Cases for Prospective Sensemaking of Human-AI-Collaboration
Sudeeptha, Ishara
Mueller, Wieland
Leyer, Michael
Richter, Alexander
Nolte, Ferry
Human-Computer Interaction
This study explores the potential of Human-AI Collaboration (HAIC) use cases as a tool for prospective sensemaking. Based on 14 interviews with executives of an automotive company, we identify and categorize HAIC use cases that can help organizations anticipate and strategically respond to the impact of HAIC. Feedback from the case company shows that our systematic mapping of HAIC use cases along the value chain and group tasks enables a structured understanding of the potential role of AI and underscores the importance of strategic foresight when integrating AI into organizational processes.
title Use Cases for Prospective Sensemaking of Human-AI-Collaboration
topic Human-Computer Interaction
url https://arxiv.org/abs/2408.10812