On enabling dynamic, transparent, and inclusive government consultative processes with GenAIOpenGov DSS

Olivera Marjanovic; Diana Hristova; Saswat Dash; Babak Abedin

On enabling dynamic, transparent, and inclusive government consultative processes with GenAIOpenGov DSS

Olivera Marjanovic, Diana Hristova, Saswat Dash, Babak Abedin

Department of Actuarial Studies and Business Analytics

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

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Abstract

Governments around the world are faced with complex challenges that require large scale public consultations with a wide group of stakeholders. This research is motivated by real-life examples of consultative processes conducted by the Australian Government often on the matters of national importance, which involve very large number of public submissions in the form of unstructured text. In this paper we report on a pilot design science project of implementing of a societal Decision Support Systems (DSS) called GenAIOpenGov DSS that aims to make these processes more dynamic, transparent and inclusive, through the innovative use of NLP and GenAI. The proposed DSS is implemented using an example of a recent consultative process on Responsible AI. In addition to its practical utility, the main research contribution is in articulation of an initial set of design principles for a class of societal DSS, based on insights gained through implement of its instance.

Original language	English
Title of host publication	ACIS 2024 Proceedings
Subtitle of host publication	Australasian Conference on Information Systems: Digital Futures for a Sustainable Society
Place of Publication	Canberra
Publisher	AIS Electronic Library (AISeL)
Pages	1-14
Number of pages	14
Publication status	Published - 2024
Event	Australasian Conference on Information Systems 2024 : Digital Futures for a Sustainable Society - University of Canberra, Canberra, Australia Duration: 4 Dec 2024 → 6 Dec 2024 Conference number: 35th https://acis.aaisnet.org/acis2024/

Conference

Conference	Australasian Conference on Information Systems 2024
Abbreviated title	ACIS 2024
Country/Territory	Australia
City	Canberra
Period	4/12/24 → 6/12/24
Internet address	https://acis.aaisnet.org/acis2024/

Bibliographical note

Copyright © 2024 [Marjanovic, Hristova, Dash & Abedin]. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Government consultative processes
Open government data
Natural Language Processing (NLP)
Generative AI (GenAI)
Decision Support Systems (DSS)

Access to Document

Publisher version (open access)Final published version, 635 KBLicence: CC BY-NC

https://aisel.aisnet.org/acis2024/68/Licence: CC BY-NC

Cite this

Marjanovic, O., Hristova, D., Dash, S., & Abedin, B. (2024). On enabling dynamic, transparent, and inclusive government consultative processes with GenAIOpenGov DSS. In ACIS 2024 Proceedings: Australasian Conference on Information Systems: Digital Futures for a Sustainable Society (pp. 1-14). Article 68 AIS Electronic Library (AISeL). https://aisel.aisnet.org/acis2024/68/

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abstract = "Governments around the world are faced with complex challenges that require large scale public consultations with a wide group of stakeholders. This research is motivated by real-life examples of consultative processes conducted by the Australian Government often on the matters of national importance, which involve very large number of public submissions in the form of unstructured text. In this paper we report on a pilot design science project of implementing of a societal Decision Support Systems (DSS) called GenAIOpenGov DSS that aims to make these processes more dynamic, transparent and inclusive, through the innovative use of NLP and GenAI. The proposed DSS is implemented using an example of a recent consultative process on Responsible AI. In addition to its practical utility, the main research contribution is in articulation of an initial set of design principles for a class of societal DSS, based on insights gained through implement of its instance.",

keywords = "Government consultative processes, Open government data, Natural Language Processing (NLP), Generative AI (GenAI), Decision Support Systems (DSS)",

author = "Olivera Marjanovic and Diana Hristova and Saswat Dash and Babak Abedin",

note = "Copyright {\textcopyright} 2024 [Marjanovic, Hristova, Dash & Abedin]. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; Australasian Conference on Information Systems 2024<br/> : Digital Futures for a Sustainable Society, ACIS 2024 ; Conference date: 04-12-2024 Through 06-12-2024",

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Marjanovic, O, Hristova, D, Dash, S & Abedin, B 2024, On enabling dynamic, transparent, and inclusive government consultative processes with GenAIOpenGov DSS. in ACIS 2024 Proceedings: Australasian Conference on Information Systems: Digital Futures for a Sustainable Society., 68, AIS Electronic Library (AISeL), Canberra, pp. 1-14, Australasian Conference on Information Systems 2024
, Canberra, Australian Capital Territory, Australia, 4/12/24. <https://aisel.aisnet.org/acis2024/68/>

On enabling dynamic, transparent, and inclusive government consultative processes with GenAIOpenGov DSS. / Marjanovic, Olivera; Hristova, Diana; Dash, Saswat et al.
ACIS 2024 Proceedings: Australasian Conference on Information Systems: Digital Futures for a Sustainable Society. Canberra: AIS Electronic Library (AISeL), 2024. p. 1-14 68.

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

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