Mundus intelligibilis : mitigating the ethical considerations of artificial intelligence through visual analytics

Hansard, Brett Anthony

Mundus intelligibilis : mitigating the ethical considerations of artificial intelligence through visual analytics

Hansard, Brett Anthony

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Hansard, Brett Anthony
dc.date.accessioned	2025-10-27T21:16:30Z
dc.date.available	2025-10-27T21:16:30Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/190565
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	The mundus intelligibilis or ‘intelligible world’, is an omnipresent and almost inescapable phenomenon. An evolution where human intelligence is being supported, supplemented, or superseded by Artificial Intelligence (AI). Decisions once made by humans are now made by machines, learning at a faster and more accurate rate through algorithmic calculations, and those decisions are then made intelligible through interpretive measures such as visual analytics. Resolutely, this proposition in machine learning is explored in this thesis through predictive modelling on 101 bail decisions. Indicatively, the models’ statistical performance and accuracy based on the nine predictor variables proved e!ective, with the more accurate of the logistic regression models at 78 percent and performance value 0.845 (AUC) and the classifier model accuracy at 72.5 percent and performance value 0.702 (AUC). By virtue of these results, this thesis explores how AI-generated bail decisions would be received by those who would be affected, giving prominence to the ethical principles of fairness and explainability. A user-study was subsequently undertaken within court environs surveying relevant stakeholders through a series of questions, vignettes and visualisations. Resultative exploratory data analysis found perceptions were weighted positively on visual analytics as an ethical mitigator to AI-generated bail decisions.	en_US.UTF-8
dc.format	Thesis (MAnalytics)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/190565/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Brett Anthony Hansard
dc.rights	au.edu.uts.lib/cph
dc.title	Mundus intelligibilis : mitigating the ethical considerations of artificial intelligence through visual analytics	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

The mundus intelligibilis or ‘intelligible world’, is an omnipresent and almost inescapable phenomenon. An evolution where human intelligence is being supported, supplemented, or superseded by Artificial Intelligence (AI). Decisions once made by humans are now made by machines, learning at a faster and more accurate rate through algorithmic calculations, and those decisions are then made intelligible through interpretive measures such as visual analytics. Resolutely, this proposition in machine learning is explored in this thesis through predictive modelling on 101 bail decisions. Indicatively, the models’ statistical performance and accuracy based on the nine predictor variables proved e!ective, with the more accurate of the logistic regression models at 78 percent and performance value 0.845 (AUC) and the classifier model accuracy at 72.5 percent and performance value 0.702 (AUC). By virtue of these results, this thesis explores how AI-generated bail decisions would be received by those who would be affected, giving prominence to the ethical principles of fairness and explainability. A user-study was subsequently undertaken within court environs surveying relevant stakeholders through a series of questions, vignettes and visualisations. Resultative exploratory data analysis found perceptions were weighted positively on visual analytics as an ethical mitigator to AI-generated bail decisions.

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http://hdl.handle.net/10453/190565