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 20 of 31 for “"AI system"”.
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Can an Agentic AI System Increase Willingness to Engage with Support Services in Wales?
… or are nervous about how to start. This study aims to develop an agentic AI system capable of eligibility assessment, population of application form fields, and complete annotated PDF form generation. The system presents an easy-to-use conversational interface that employs a non-linear workflow …
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GENERIC: Musical Improvisation with Machine Learning and Generative Composition
… for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through …
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Domain knowledge specification using fact schema
… of integrating artificial intelligence (AI) Technology with data base management system (DBMS) technology are widely recognized as indicated by the results from the survey of AI and data base (DB) researchers. ...In our work, we have focused on the use of data base systems to store large …
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Design Approaches to Creativity Support with Embedded Artificial Intelligence
… attitudes and approaches towards using AI (Artificial Intelligence) to support their creative work. It consists of three studies with people working in creative roles in the design industry: a survey (n=45), a month-long diary study (n=30), and a 21-day digital probe study (n=5). …
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The control of semi-autonomous robots
… from a computer-based artiï¬ cial intelligence (AI) system. In order for the AI system to keep track of all the robots and the ball (an orange golf ball), a global vision system is utilised. This global vision system uses images captured from either one or multiple digital cameras mounted above …
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Automatic model abstraction for adaptive level of detail simulation
One of the main problems when dealing with simulations in a large environment is the amount of resources required to compute all of the events that are happening. Since it is too costly to simulate them all, the developer must consider ways to reduce the computation at the expense of the player …
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Machine Learning Applications in Structural Analysis and Design
Artificial intelligence (AI) has progressed significantly during the last several decades, along with the rapid advancements in computational power. This advanced technology is currently being employed in various engineering fields, not just in computer science. In aerospace engineering, AI and …
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The Study and Design of Human-AI Thought Partnerships
Humans have long thought together. Advances in AI supports multi-turn conversation in natural language fundamentally alters our relationship with AI and teases the possibility that AI systems too can think together with us: moving from tools for thought to potentially being "partners'' in thought. …
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A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
… model, and interacting with an intelligent system. Artificial intelligence (AI) research, including machine learning, computer vision, and natural language processing, requires large amounts of annotated data. The current research and development pipeline involves each group collecting their …
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Documentation as a Tool for Algorithmic Accountability
… should rest on the deployer's understanding of system behavior, and that documentation is the necessary tool to accomplish this goal. This work begins by establishing the ``hole'' in current approaches to AI risk regulation, the lack of a civil liability regime. It also highlights that civil …
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Can AI Be a Good Leader? Exploring the Effects of Artificial Intelligence Directive Leadership
Artificial Intelligence (AI) is swiftly reconfiguring workplaces and redefining established employee roles, positioning AI as an important force in management. Prior research has largely examined human-AI collaboration, highlighting AI’s supportive role in areas such as problem resolution, …
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An end-to-end benchmarking framework for retrieval-augmented generation systems
… up-to-date knowledge. While the accuracy of RAG systems has been extensively studied, the system performance—specifically regarding throughput, latency, and memory efficiency at scale—remains largely unexplored. However, current RAG benchmarking efforts are predominantly accuracy-centric, …
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Toward an Integrative Study of Human-AI Interaction
As artificial intelligence (AI) systems are increasingly embedded in the workflows of individuals and groups, designers and researchers of human-AI interaction (HAI) navigate a vast design space of possible configurations, making decisions that span algorithmic parameters, interface choice, and …
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Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise
The learned behaviors of AI systems and robots should align with the intentions of their human designers. In service of this goal, people—especially experts—must be able to easily specify, inspect, model, and revise AI system and robot behaviors. These four interactions are critical building blocks …
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Early detection of oesophageal cancer based on colour appearance and colour-based data augmentation
… augmentation for an artificial intelligence (AI) enhanced computer diagnosis system to enlarge data set. With regard to colour differences, all four categories overlap to a large extent. Hence it is unlikely that determination of early stage of OC can be made accurately purely based on colour …
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Building small domain-specific masked language models vs. large generative models for clinical decision support and their effects on users.
… definition presents some issues when applied to AI: it is unclear to which degree it is justified to use “humanizing” vocabulary like “belief” or “justification” when describing the performance of an AI system. Traditional explicit knowledge-representation based AI involves reasoning over …
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On development and perception of theomorphic robots: the uncanny valley effect to Artificial Intelligence (AI)
… and conversational Artificial Intelligence (AI) to create a robot capable of symbolic movement and interaction. While initially conceived as a platform for Human–Robot Interaction (HRI) studies, this research adopts a novel methodological shift: rather than directly testing with human …
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Gaining Perspective with an Evolutionary Cognitive Architecture for Intelligent Agents
… the boundary surrounding the creation of strong AI using AutoML (Automatic Machine Learning) through the development of a general cognitive architecture called Brain Evolver. To do this, the notion of what intelligence is in the context of machines and how it can practically be applied to …
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Safeguarding sensitive data: prompt engineering for Gen AI
Generative Artificial Intelligence (GenAI) represents a transformative advancement in technology with capabilities to autonomously generate diverse content, such as text, images, simulations, and beyond. While GenAI offers significant operational benefits it also introduces risks, particularly in …
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On Passive-Scoping as a method for Large Language Model Robustness to Jailbreaks and Adversarial Examples
Artificial Intelligence (AI) and large language models (LLMs) not only present a challenge for adversarial robustness, but also the natural emergence of unwanted capabilities. Current approaches to safeguarding AI and LLMs predominantly rely on explicitly restricting known instances of these. …
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