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.
Results
Showing 1 to 20 of 191 for “"AI systems"”.
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SAFEGUARDING AI SYSTEMS AGAINST UNEXPECTED INPUTS
Artificial intelligence systems powered by deep neural networks have achieved remarkable success across a broad range of applications. However, perturbations such as natural image corruptions or crafted malicious queries, can cause significant performance degradation. This poses severe risks in …
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Private, Verifiable, and Auditable AI Systems
… verifiability, and auditability in modern AI, particularly in foundation models. It argues that technical solutions that integrate these elements are critical for responsible AI innovation. Drawing from international policy contributions and technical research to identify key risks in the …
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Enabling Compositional Generalization of AI Systems
… Despite their impressive performance, current AI systems fall short in this area and are often unable to solve tasks that fall outside of their training distribution. The work contained in this thesis aims to bridge this gap by incorporating compositionality into deep neural networks, thereby …
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Multimodal Representation Learning for Agentic AI Systems
Modern artificial intelligence (AI) is poised to transform the scientific process, from ideation and experimentation to peer review. Many researchers posit that emerging generalist AI “agents” will soon no longer be mere tools, but equal partners in scientific exploration. In this work, we …
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Towards Maintainable and Explainable AI Systems with Dataflow
… Such real-life applications are complex software systems, in which the model is only one, albeit important, component. A significant effort is also spent on creating data collection and cleaning pipelines, quality assurance, model updating workflows, monitoring and operational maintenance of these …
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Building Modular, Human-Interpretable AI Systems with Behavior Trees
… candidate for constructing solutions for many AI applications, advantages includes readily changeable and human-interpretable. Two main topics covered in this thesis are: 1) IKBT: solving inverse kinematics with behavior trees. IKBT demonstrates how manually designed behavior trees with …
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Multiagent Approaches to Enhance Learning and Trust in AI Systems
… ensuring trust in real-world deployment. Many domains involve multiple adaptive agents interacting under uncertainty and limited information. To be effective, agents must adapt continuously while operating efficiently in large and complex decision spaces. Using frameworks such as extensive form …
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Designing Behavior-Aware AI Systems to Influence Human Decision-Making
Artificial intelligence (AI) demonstrates superiority over humans in many applications, such as image processing, speech recognition, and decision-making. AI systems are more efficient and accurate in information processing and computation, making them invaluable in assisting human decision-making …
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Graph-based Vector Search Algorithms for Retrieval-Augmented AI Systems
… (LMMs) greatly enhances the capabilities of AI systems such as recommendation systems and coding assistants, making them more practical for real-world deployment. However, these models cannot directly interact with large volumes of data in a knowledge corpus during inference/task time due to …
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AI Enhanced Reasoning: Augmenting Human Critical Thinking with AI Systems
… complex and information-saturated world. As AI systems become more entwined with our daily lives and institutions, there is a growing need to design and deploy AI systems that augment human reasoning, foster critical thinking, and promote well-informed decision-making. This thesis …
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Understanding and Mitigating Data-Centric Vulnerabilities in Modern AI Systems
Modern artificial intelligence (AI) systems, trained on vast internet-scale datasets, demonstrate remarkable performance and emergent capabilities. However, this reliance on large datasets that are expensive or difficult to quality-control exposes AI systems to critical vulnerabilities, including …
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A learning integrated framework for group problem-solving in distributed AI systems
… common phenomenon in a vast variety of domains. This phenomenon may be attributed to a combination of factors: an increasing trend towards specialization of skills in narrow functional areas and increased complexity of problems which transcend functional boundaries. Coordination of this …
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Cyborg Psychology: The Art & Science of Designing Human-AI Systems that Support Human Flourishing
As Artificial Intelligence (AI) becomes increasingly integrated into our daily lives, understanding the psychological implications of human-AI interaction is crucial for developing systems that truly support human capabilities. This dissertation introduces “Cyborg Psychology,” an interdisciplinary, …
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Agentic AI systems in professional domains: A probabilistic framework for role suitability and legal accountability
… presents a cross-sector analysis of agentic AI systems deployed in STEM, education, healthcare, and enterprise domains, with a focus on role suitability, orchestration maturity, and legal accountability. It introduces the Bounded Agentic Suitability Envelope, a dual-bound scoring framework …
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REPURPOSING DEEPFAKES FOR SOCIAL GOOD: THEORY, EMPIRICAL EVIDENCE, AND AI SYSTEMS FOR BIAS MEASUREMENT AND MITIGATION
… used for bias measurement across various domains. These methods have proven highly effective when applied to textual contexts, where researchers can easily manipulate bias-sensitive attributes like race or age while keeping all other content identical to isolate the causal effects of bias. …
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Towards an Intelligent Built Environment: Digital Building Logbooks and AI Systems for Managing and Reasoning over BIM Data
… In parallel, Artificial Intelligence (AI) offers new opportunities to make this information more usable and actionable throughout a building’s lifecycle. This thesis advances the vision of an Intelligent Built Environment by presenting two complementary research directions: Digital …
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AI systems and worker’s rights in Europe: assessing the potential impact of CSR tax and automation tax as a response to job automation
… European legislation, Artificial Intelligence systems (AI systems) and political economy. Following the job predictions there is a high probability that there might not be enough jobs for people in the future. There are even opinions that automation replacing human workers, with time, will …
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Experts & AI systems, explanation & trust: A comparative investigation into the formation of epistemically justified belief in expert testimony and in the outputs of AI-enabled expert systems
… that seek their advice (novices), and between AI-enabled expert systems and users, are epistemically imbalanced relationships. An epistemically imbalanced relationship is one in which the information source (expert/AI) occupies an epistemically privileged position relative to the novice/user; …
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