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

^*Corresponding author for this work

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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. © IFIP International Federation for Information Processing 2024.

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
Place of Publication	Cham
Publisher	Springer
Pages	46-55
ISBN (Electronic)	978-3-031-67535-5
ISBN (Print)	9783031675348, 978-3-031-67537-9
DOIs	https://doi.org/10.1007/978-3-031-67535-5_5
Publication status	Published - 2024
Event	16th IFIP TC9 Human Choice and Computers Conference (HCC16): “Humans, Technological Innovations and Artificial Intelligence: Opportunities and Consequences" - Dusit Thani Laguna, Phuket, Thailand Duration: 8 Sept 2024 → 10 Sept 2024 https://hcc16.org/

Publication series

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

Conference

Conference	16th IFIP TC9 Human Choice and Computers Conference (HCC16)
Place	Thailand
City	Phuket
Period	8/09/24 → 10/09/24
Internet address	https://hcc16.org/

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

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

Access Output

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

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

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 (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. Cham : Springer , 2024. pp. 46-55 (IFIP Advances in Information and Communication Technology).

@inproceedings{606b818925c840169826a7f93da4e358,

title = "Generative AI-Augmented Decision-Making for Business Information Systems",

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. {\textcopyright} IFIP International Federation for Information Processing 2024.",

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

author = "Endrit Kromidha and Davison, {Robert M.}",

note = "Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).; 16th IFIP TC9 Human Choice and Computers Conference (HCC16) : “Humans, Technological Innovations and Artificial Intelligence: Opportunities and Consequences{"} ; Conference date: 08-09-2024 Through 10-09-2024",

year = "2024",

doi = "10.1007/978-3-031-67535-5_5",

language = "English",

isbn = "9783031675348",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer ",

pages = "46--55",

editor = "Davison, {Robert M.} and David Kreps",

booktitle = "Human Choice and Computers",

url = "https://hcc16.org/",

}

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. IFIP Advances in Information and Communication Technology, vol. 719, Springer , Cham, pp. 46-55, 16th IFIP TC9 Human Choice and Computers Conference (HCC16), 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. Cham: Springer , 2024. p. 46-55 (IFIP Advances in Information and Communication Technology; Vol. 719).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Generative AI-Augmented Decision-Making for Business Information Systems

AU - Kromidha, Endrit

AU - Davison, Robert M.

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

PY - 2024

Y1 - 2024

N2 - 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. © IFIP International Federation for Information Processing 2024.

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. © IFIP International Federation for Information Processing 2024.

KW - Business Information Systems

KW - ChatGPT

KW - Decision-Making

KW - Generative Artificial Intelligence (GAI)

UR - http://www.scopus.com/inward/record.url?scp=85200943292&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85200943292&origin=recordpage

U2 - 10.1007/978-3-031-67535-5_5

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

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783031675348

SN - 978-3-031-67537-9

T3 - IFIP Advances in Information and Communication Technology

SP - 46

EP - 55

BT - Human Choice and Computers

A2 - Davison, Robert M.

A2 - Kreps, David

PB - Springer

CY - Cham

T2 - 16th IFIP TC9 Human Choice and Computers Conference (HCC16)

Y2 - 8 September 2024 through 10 September 2024

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. Cham: Springer . 2024. p. 46-55. (IFIP Advances in Information and Communication Technology). Epub 2024 Aug 1. doi: 10.1007/978-3-031-67535-5_5

Generative AI-Augmented Decision-Making for Business Information Systems

Abstract

Publication series

Conference

Bibliographical note

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this