Generative AI-Augmented Decision-Making for Business Information Systems

Endrit Kromidha; Robert M. Davison

doi:10.1007/978-3-031-67535-5_5

Generative AI-Augmented Decision-Making for Business Information Systems

Endrit Kromidha^*, Robert M. Davison

^*Corresponding author for this work

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The integration of Generative Artificial Intelligence (GAI) in decision-making has ushered in a new era of opportunities and challenges for organizations. However, due to the way GAI algorithms work, the propagation of social biases and the lack of transparency on how they use data raises concerns about the autonomy and control of human decision-making powered by such systems. In this experimental research paper, we contrast the answers that ChatGPT, a popular GAI tool, can give us in the context of decision-making with what we know about such processes from the management and business information systems literature. Our findings suggest that GAI can facilitate the organization of information and options for making decisions. However, without a moral and ethical stance, the responsibility for the decisions remains with the human actor. Suggesting a collaborative approach between humans and GAI, we reflect on the changes to learning and adaptation patterns that need to happen on both sides to reform the way we make GAI-augmented decisions.

Original language	English
Title of host publication	Human Choice and Computers
Subtitle of host publication	16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings
Editors	Robert M. Davison, David Kreps
Publisher	Springer
Pages	46-55
Number of pages	10
Edition	1
ISBN (Electronic)	9783031675355
ISBN (Print)	9783031675348, 9783031675379
DOIs	https://doi.org/10.1007/978-3-031-67535-5_5
Publication status	Published - 1 Aug 2024
Event	16th IFIP International Conference on Human Choice and Computers, HCC 2024 - Phuket, Thailand Duration: 8 Sept 2024 → 10 Sept 2024

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	719
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	16th IFIP International Conference on Human Choice and Computers, HCC 2024
Country/Territory	Thailand
City	Phuket
Period	8/09/24 → 10/09/24

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2024.

Keywords

Business Information Systems
ChatGPT
Decision-Making
Generative Artificial Intelligence (GAI)

ASJC Scopus subject areas

Information Systems and Management

Access to Document

10.1007/978-3-031-67535-5_5

Embargoed Document

KromidhaE2024Generative
Accepted author manuscript, 259 KB
Licence: Other (please specify with Rights Statement)
Embargo ends: 31/07/25

Cite this

Kromidha, E., & Davison, R. M. (2024). Generative AI-Augmented Decision-Making for Business Information Systems. In R. M. Davison, & D. Kreps (Eds.), Human Choice and Computers: 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings (1 ed., pp. 46-55). (IFIP Advances in Information and Communication Technology; Vol. 719). Springer. https://doi.org/10.1007/978-3-031-67535-5_5

Kromidha, Endrit ; Davison, Robert M. / Generative AI-Augmented Decision-Making for Business Information Systems. Human Choice and Computers: 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings. editor / Robert M. Davison ; David Kreps. 1. ed. Springer, 2024. pp. 46-55 (IFIP Advances in Information and Communication Technology).

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abstract = "The integration of Generative Artificial Intelligence (GAI) in decision-making has ushered in a new era of opportunities and challenges for organizations. However, due to the way GAI algorithms work, the propagation of social biases and the lack of transparency on how they use data raises concerns about the autonomy and control of human decision-making powered by such systems. In this experimental research paper, we contrast the answers that ChatGPT, a popular GAI tool, can give us in the context of decision-making with what we know about such processes from the management and business information systems literature. Our findings suggest that GAI can facilitate the organization of information and options for making decisions. However, without a moral and ethical stance, the responsibility for the decisions remains with the human actor. Suggesting a collaborative approach between humans and GAI, we reflect on the changes to learning and adaptation patterns that need to happen on both sides to reform the way we make GAI-augmented decisions.",

keywords = "Business Information Systems, ChatGPT, Decision-Making, Generative Artificial Intelligence (GAI)",

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Kromidha, E & Davison, RM 2024, Generative AI-Augmented Decision-Making for Business Information Systems. in RM Davison & D Kreps (eds), Human Choice and Computers: 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings. 1 edn, IFIP Advances in Information and Communication Technology, vol. 719, Springer, pp. 46-55, 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, 8/09/24. https://doi.org/10.1007/978-3-031-67535-5_5

Generative AI-Augmented Decision-Making for Business Information Systems. / Kromidha, Endrit; Davison, Robert M.
Human Choice and Computers: 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings. ed. / Robert M. Davison; David Kreps. 1. ed. Springer, 2024. p. 46-55 (IFIP Advances in Information and Communication Technology; Vol. 719).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The integration of Generative Artificial Intelligence (GAI) in decision-making has ushered in a new era of opportunities and challenges for organizations. However, due to the way GAI algorithms work, the propagation of social biases and the lack of transparency on how they use data raises concerns about the autonomy and control of human decision-making powered by such systems. In this experimental research paper, we contrast the answers that ChatGPT, a popular GAI tool, can give us in the context of decision-making with what we know about such processes from the management and business information systems literature. Our findings suggest that GAI can facilitate the organization of information and options for making decisions. However, without a moral and ethical stance, the responsibility for the decisions remains with the human actor. Suggesting a collaborative approach between humans and GAI, we reflect on the changes to learning and adaptation patterns that need to happen on both sides to reform the way we make GAI-augmented decisions.

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ER -

Kromidha E, Davison RM. Generative AI-Augmented Decision-Making for Business Information Systems. In Davison RM, Kreps D, editors, Human Choice and Computers: 16th IFIP International Conference on Human Choice and Computers, HCC 2024, Phuket, Thailand, September 8–10, 2024, Proceedings. 1 ed. Springer. 2024. p. 46-55. (IFIP Advances in Information and Communication Technology). Epub 2024 Jul 31. doi: 10.1007/978-3-031-67535-5_5

Generative AI-Augmented Decision-Making for Business Information Systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Embargoed Document

Fingerprint

Cite this