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Auto-Pilot, Co-Pilot and Pilot: Human and Generative AI Configurations in Software Development

Authors

Safari, Narges
Techatassanasoontorn, Angsana
Diaz Andrade, Antonio

Supervisor

Item type

Conference Contribution

Degree name

Journal Title

Journal ISSN

Volume Title

Publisher

AIS Electronic Library

Abstract

Generative AI (GenAI), with its versatility and general-purpose capability for content creation, has the potential to shape a wide range of professional work across different industries. This research-in-progress identifies emergent configurations of humans and GenAI to offer an understanding of the changing nature of software development tasks and work practice in general. The empirical materials are drawn from 15 interviews with software developers with different levels of experience who use GenAI as part of their work. Our abductive analysis, grounded in the notion of configurations and a work design perspective, identifies three configurations – i.e., GenAI as auto-pilot, GenAI as co-pilot, and human as pilot-in-command – that explain the manifestations of automation and augmentation and the distribution of responsibilities between humans and GenAI. Overall, the findings shed light on the changing nature of software development work where human agencies are crucial in managing emergent configurations with AI.

Description

Keywords

Generative Artificial Intelligence, augmentation, automation, configuration, software development, work design

Source

45th International Conference on Information Systems (ICIS) 2024 Proceedings: IS Design, Development and Project Management. Bangkok. December 15-18, 2024.

DOI

Rights statement

This is the Author's Accepted Manuscript of a conference paper published in the Proceedings of the International Conference on Information Systems (ICIS) 2024 by the Association for Information Systems (AIS). The published version is available at https://aisel.aisnet.org/icis2024/isdesign/isdesign/7/