A Vision for Operationalising Diversity and Inclusion in AI

Bano, M; Zowghi, D; Gervasi, V

A Vision for Operationalising Diversity and Inclusion in AI

Bano, M Zowghi, D

Gervasi, V

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Publisher:: ASSOC COMPUTING MACHINERY
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2024 IEEE/ACM International Workshop on Responsible AI Engineering, RAIE 2024, 2024, pp. 36-43
Issue Date:: 2024-04-16

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Field	Value	Language
dc.contributor.author	Bano, M
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155
dc.contributor.author	Gervasi, V
dc.date	2024-04-16
dc.date.accessioned	2025-01-28T23:38:11Z
dc.date.available	2025-01-28T23:38:11Z
dc.date.issued	2024-04-16
dc.identifier.citation	Proceedings - 2024 IEEE/ACM International Workshop on Responsible AI Engineering, RAIE 2024, 2024, pp. 36-43
dc.identifier.uri	http://hdl.handle.net/10453/184557
dc.description.abstract	The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity. This study seeks to envision the operationalization of the ethical imperatives of diversity and inclusion (D&I) within AI ecosystems, addressing the current disconnect between ethical guidelines and their practical implementation. A significant challenge in AI development is the effective operationalization of D&I principles, which is critical to prevent the reinforcement of existing biases and ensure equity across AI applications. This paper proposes a vision of a framework for developing a tool utilizing persona-based simulation by Generative AI (GenAI). The approach aims to facilitate the representation of the needs of diverse users in the requirements analysis process for AI software. The proposed framework is expected to lead to a comprehensive persona repository with diverse attributes that inform the development process with detailed user narratives. This research contributes to the development of an inclusive AI paradigm that ensures future technological advances are designed with a commitment to the diverse fabric of humanity.
dc.language	en
dc.publisher	ASSOC COMPUTING MACHINERY
dc.relation.ispartof	Proceedings - 2024 IEEE/ACM International Workshop on Responsible AI Engineering, RAIE 2024
dc.relation.ispartof	International Workshop on Responsible AI Engineering (RAIE)
dc.relation.isbasedon	10.1145/3643691.3648587
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Vision for Operationalising Diversity and Inclusion in AI
dc.type	Conference Proceeding
utslib.location.activity	PORTUGAL, Lisbon
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/The Trustworthy Digital Society
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2025-01-28T23:38:10Z
pubs.finish-date	2024-04-16
pubs.publication-status	Published
pubs.start-date	2024-04-16

Abstract:

The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity. This study seeks to envision the operationalization of the ethical imperatives of diversity and inclusion (D&I) within AI ecosystems, addressing the current disconnect between ethical guidelines and their practical implementation. A significant challenge in AI development is the effective operationalization of D&I principles, which is critical to prevent the reinforcement of existing biases and ensure equity across AI applications. This paper proposes a vision of a framework for developing a tool utilizing persona-based simulation by Generative AI (GenAI). The approach aims to facilitate the representation of the needs of diverse users in the requirements analysis process for AI software. The proposed framework is expected to lead to a comprehensive persona repository with diverse attributes that inform the development process with detailed user narratives. This research contributes to the development of an inclusive AI paradigm that ensures future technological advances are designed with a commitment to the diverse fabric of humanity.

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http://hdl.handle.net/10453/184557