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Fully moral artificial agents: future or fiction

The rapid technological progress has resulted advancements in technology that includes the development of Artificially Intelligent agents (AI) for various purposes. The extensive progress in AI has reached a point where the introduction of AI agents as android robots or humanoids into society is pla...

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Main Author: Moore, Jaimee
Other Authors: Nefdt, Ryan
Format: Thesis
Language:English
English
Published: Department of Philosophy 2025
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access_status_str Open Access
author Moore, Jaimee
author2 Nefdt, Ryan
author_browse Moore, Jaimee
Nefdt, Ryan
author_facet Nefdt, Ryan
Moore, Jaimee
author_sort Moore, Jaimee
collection Thesis
description The rapid technological progress has resulted advancements in technology that includes the development of Artificially Intelligent agents (AI) for various purposes. The extensive progress in AI has reached a point where the introduction of AI agents as android robots or humanoids into society is plausible. This highlights the evolving relationship between humans and technology. This thesis explores the multidimensional aspects of artificial intelligence (AI) by examining the intersection of machine ethics, ethical theories, and deep learning. The central focus is on assessing the compatibility of ethical theories with the rapid advancements in technology, particularly the potential development of fully moral artificial agents. The aim of this thesis is to address the ethical concerns associated with the evolution of AI, particularly the introduction of artificially intelligent agents into various societal roles, such as care robots in healthcare. The need for an impartial approach to address these concerns is identified, leading to the proposal of machine ethics as a framework. Machine ethics, defined as ensuring moral behaviours in AI, provides a basis for evaluating the ethical capabilities of artificially intelligent agents. As technology continues to progress, the demand for a comprehensive ethical framework for AI decision-making becomes increasingly apparent. Machine ethics offers insights into the ethical processes involved in AI decision-making, allowing a closer examination of computational abilities and ethical capacities. The primary inquiry revolves around whether AI agents can achieve full morality and if existing ethical theories can govern their behaviour effectively. To explore these questions, the thesis draws upon three ethical theories—Utilitarianism, Deontology, and African Ubuntu Ethics—and their applicability to the development of fully moral artificial agents. It employs deep learning as a critical component in understanding moral agency within the context of AI. The analysis unfolds in four parts: first, providing a background on AI concepts; second, examining recent AI progress and the potential for ethical AI agents; third, exploring the future of AI in relation to morality through ethical theories; and fourth, establishing criteria for considering AI agents as moral agents. In conclusion, the thesis argues that, with the advancements in technology and the insights provided by machine ethics and ethical theories, the development of fully moral artificial intelligent agents is possible.
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provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
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spelling oai:open.uct.ac.za:11427/41786 Fully moral artificial agents: future or fiction Moore, Jaimee Nefdt, Ryan Artificial intelligence The rapid technological progress has resulted advancements in technology that includes the development of Artificially Intelligent agents (AI) for various purposes. The extensive progress in AI has reached a point where the introduction of AI agents as android robots or humanoids into society is plausible. This highlights the evolving relationship between humans and technology. This thesis explores the multidimensional aspects of artificial intelligence (AI) by examining the intersection of machine ethics, ethical theories, and deep learning. The central focus is on assessing the compatibility of ethical theories with the rapid advancements in technology, particularly the potential development of fully moral artificial agents. The aim of this thesis is to address the ethical concerns associated with the evolution of AI, particularly the introduction of artificially intelligent agents into various societal roles, such as care robots in healthcare. The need for an impartial approach to address these concerns is identified, leading to the proposal of machine ethics as a framework. Machine ethics, defined as ensuring moral behaviours in AI, provides a basis for evaluating the ethical capabilities of artificially intelligent agents. As technology continues to progress, the demand for a comprehensive ethical framework for AI decision-making becomes increasingly apparent. Machine ethics offers insights into the ethical processes involved in AI decision-making, allowing a closer examination of computational abilities and ethical capacities. The primary inquiry revolves around whether AI agents can achieve full morality and if existing ethical theories can govern their behaviour effectively. To explore these questions, the thesis draws upon three ethical theories—Utilitarianism, Deontology, and African Ubuntu Ethics—and their applicability to the development of fully moral artificial agents. It employs deep learning as a critical component in understanding moral agency within the context of AI. The analysis unfolds in four parts: first, providing a background on AI concepts; second, examining recent AI progress and the potential for ethical AI agents; third, exploring the future of AI in relation to morality through ethical theories; and fourth, establishing criteria for considering AI agents as moral agents. In conclusion, the thesis argues that, with the advancements in technology and the insights provided by machine ethics and ethical theories, the development of fully moral artificial intelligent agents is possible. 2025-09-12T09:10:13Z 2025-09-12T09:10:13Z 2025 2025-09-12T08:55:59Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/41786 en eng application/pdf Department of Philosophy Faculty of Humanities University of Cape Town
spellingShingle Artificial intelligence
Moore, Jaimee
Fully moral artificial agents: future or fiction
thesis_degree_str Master's
title Fully moral artificial agents: future or fiction
title_full Fully moral artificial agents: future or fiction
title_fullStr Fully moral artificial agents: future or fiction
title_full_unstemmed Fully moral artificial agents: future or fiction
title_short Fully moral artificial agents: future or fiction
title_sort fully moral artificial agents future or fiction
topic Artificial intelligence
url http://hdl.handle.net/11427/41786
work_keys_str_mv AT moorejaimee fullymoralartificialagentsfutureorfiction