Use Cases for Prospective Sensemaking of Human-AI-Collaboration

TL;DR

This paper investigates how mapping Human-AI Collaboration use cases can aid organizations in strategic planning and foresight, based on interviews with automotive industry executives.

Contribution

It introduces a systematic approach to categorize HAIC use cases along the value chain for better organizational understanding and foresight.

Findings

Structured mapping of HAIC use cases enhances strategic understanding

Use case categorization helps anticipate AI's organizational impact

Feedback confirms the approach's usefulness for foresight

Abstract

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.