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 5 of 5 for “"AI Fairness"”.
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Does Artificial Intelligence Bias Exist in Mortgage Underwriting Software? Investigating Bias, Regional Disparities, and Fair AI Models
… emulated Zou and Khern's (2022) analysis of AI Bias in Mortgage Applications. They used the Home Mortgage Disclosure Act (HMDA) dataset from the Federal Financial Institution Examination Council's (FFEIC) website to review mortgage loan data from 2019 to determine if there was bias in the AI …
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Knowledge Augmentation in Language Models to Overcome Domain Adaptation and Scarce Data Challenges in Clinical Domain
… produces” and “the scarcity of sufficient training data to train language models,” in the healthcare domain have multifold increased the need for intelligent tools and techniques to process, interpret and extract different types of knowledge from the data. My research goal in this thesis is …
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Personalized Algorithmic Recourse: Towards a human-centric approach for algorithmic contestability
… systems in high-stakes decision-making domains, such as lending, employment, and legal proceedings, has raised significant concerns about fairness, transparency, and accountability. High-profile cases, such as the racially biased COMPAS algorithm, highlight the potential societal risks of …
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Data-driven Algorithms for Critical Detection Problems: From Healthcare to Cybersecurity Defenses
… defenses often rely on black-box models trained on unverified traces, providing limited interpretability. To address the scarcity of reliably labeled training data, we experimentally profile runtime ransomware behaviors of real-world samples and identify core patterns, enabling explainable …
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Engineering data-sharing practices for a fair and trustworthy AI
… that ML applications are more likely to fail in identifying women than males in hospitals. Recent research has identified the data used to train these models as one of the causes of these issues. The research community has proposed guidelines to detect the dimensions that can generate …