Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Ethical AI"”.
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Engaging people in ethical AI development: Design, dataset creation, and decision-making
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Human factors in the standardization of AI governance: Improving the design of risk management standards for ethical AI
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Robust graph representation learning with structure-aware attention and self-supervised contrastive frameworks.
Graph-structured data is pervasive across domains such as social networks, biological systems, and information networks, yet effectively learning from such data remains a fundamental challenge in machine learning. My dissertation focuses on developing novel graph representation learning methods …
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A computational model of moral learning for autonomous vehicles
… making tasks to artificial intelligence (AI) systems as we anticipate widespread adoption of autonomous systems such as autonomous vehicles (AV). However, recent string of fatal accidents involving AV reminds us that delegating certain decisions making tasks have deep ethical …
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Unlocking the Potential: Exploring the Impact of Generative Artificial Intelligence in Agile Software Engineering
… rise of Generative Artificial Intelligence (GenAI) is revolutionizing Agile software engineering, unlocking new levels of productivity, efficiency, and innovation. As organizations increasingly integrate GenAI-powered tools, understanding their impact on Agile workflows is critical. Industry …
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Cognitive Control across domains: integrating language, pain perception and clinical applications.
… processes, with a focus on language and pain perception. Drawing from my published work (including case studies, and critical reviews) this portfolio demonstrates that cognitive control is a core mechanism supporting both linguistic and sensory processing. Different aspects of cognitive …
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A framework for ethical artificial intelligence adoption at a South African higher education institution
Artificial intelligence (AI) is transforming higher education by presenting unique ethical challenges that require careful consideration for responsible integration. This study addresses the lack of a well-defined ethics framework in higher education, resulting in inconsistent policies and …
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Fully moral artificial agents: future or fiction
… 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 …
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Speech-Based Emotion Modelling and Mental Disorder Detection
… are crucial for artificial intelligence (AI) systems to achieve enhanced contextual understanding and adaptive, personalised human-AI interaction. Speech contains important clues for detecting emotion through a variety of vocal characteristics such as prosody, along with speech patterns …
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Ethical Analytics: A Framework for a Practically-Oriented Sub-Discipline of AI Ethics
… a new, practically-oriented sub-discipline of AI Ethics by outlining needs, highlighting shortcomings in current approaches, and providing a framework for Ethical Analytics, a field concerned with the study of the ethical issues surrounding the development, deployment, and/or dissemination of …
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AI governance: investigating a rights-based approach to explanation in AI
The hypothesis that Artificial Intelligence (AI) powered by Machine Learning (ML) algorithms will profoundly influence human cognition, interactions, and the exercise of power is gaining traction. AI is not only transforming how individuals perceive themselves but also revolutionising business …
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USING ARTIFICIAL INTELLIGENCE FOR DETECTING DISCRIMINATORY LANGUAGE
The rapid expansion of generative AI and large language models (LLM) has transformed how individuals and institutions communicate online. While these systems offer powerful capabilities for understanding natural language and generating natural language text, their ability to reliably detect …
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Natural Language Processing per Human-centered AI
Nonostante i recenti progressi che hanno permesso ai sistemi di Intelligenza Artificiale (AI) di raggiungere prestazioni comparabili a quelle umane su benchmark consolidati, le tecnologie allo stato dell’arte mostrano ancora un calo di performance quando vengono applicate a compiti altamente …