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 20 for “"Bias mitigation"”.
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The financial planning journey: a grounded theory towards bias mitigation
… of investors is subject to behavioural biases, which represent systematic deviations from logic and rationality. Research at the intersection of behavioural finance and financial planning has the potential to significantly improve the welfare of individuals through enhanced …
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Advancing Pandemic Response: Integrated Strategies for Testing, Prediction, and Bias Mitigation
… predictive models, and mitigating demographic biases in artificial intelligence (AI) models used for healthcare decision-making.</p> <p>The first study introduces a global screening strategy designed to optimize resource use and increase testing capacity, particularly in low- and middle-income …
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School district human resources leadership and bias mitigation in the teacher selection process
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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RESPONSIBLE AI GOVERNANCE: BALANCING THE GOALS OF BIAS MITIGATION AND PRIVACY PROTECTION THROUGH TRANSPARENCY
… focus: the interplay between the goals of debiasing AI systems and safeguarding privacy. While the development and use of AI systems offer significant benefits, they also present serious risks, including data-driven bias that reinforces social inequalities and improper data handling that …
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Investigating user experience and bias mitigation of the multi-modal retrieval of historical data
… artefact data, where the data contains the bias of the curators of the artefacts and there are primary concerns surrounding the social responsibility of these systems. Historians have argued that common information retrieval algorithms may further bias results presented to users. While …
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Body Mass Bias Mitigation for Females in Military Physical Readiness Testing through Load Carriage Implementation
… test currently being used has been shown to have bias towards heavier mass individuals of up to 20%. Prior research has been completed and several recommendations have been made to eliminate mass bias, but this has been conducted almost exclusively on males. There is very little data and research …
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Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation Using Machine Learning
… ground truth data are necessary for mitigating bias in salt marsh lidar DEMs, although future work should investigate if increasing the data set size could narrow the accuracy gap. This mitigation adjustment technique can be replicated in other coastal regions with similar vegetation profiles. …
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Fairness for affective and wellbeing computing
… into daily human life. However, the problem of bias in machine-learning based tools and systems are becoming an increasing source of concern. Bias can be understood as discrimination against individuals based on certain sensitive attributes such as age, race and gender. Fairness conversely …
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Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
… the fact that LLMs exhibit many of the same biases as their creators. In the context of hiring decisions, we quantify the degree to which LLMs perpetuate biases originating from their training data and investigate prompt engineering as a bias-mitigation technique. Our findings suggest that …
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Understanding and mitigating unintended demographic bias in machine learning systems
… models are very susceptible to unintended bias, resulting in unfair and discriminatory algorithms with the power to adversely impact society. This unintended bias is usually subtle, emanating from many different sources and taking on many forms. This thesis will focus on understanding how …
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Exploring The Role Of Generative Artificial Intelligence In Cultural Relevant Storytelling For Native Language Learning Among Children
… designing GenAI tools, promoting inclusivity, bias mitigation, and cultural integrity protection. It showcases a future where technology helps prevent linguistic dormancy and empowers children to celebrate human language and cultural diversity.
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Reflexive Composition: Bidirectional Enhancement of Language Models and Knowledge Graphs
… preserving data integration, and historical bias mitigation. Results include a 23% increase in knowledge extraction accuracy (F1 score from 0.65 to 0.80), a 28.7% reduction in LLM hallucination rates, and measurable improvements in validation efficiency through structured workflows. Reflexive …
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Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
… of opportunity, then differentiates between the bias inherent in data and the bias introduced by modeling. The models inheriting the inherent biases can risk perpetuating the existing inequality in the data structure, and the biases in modeling can further exacerbate it. The author then …
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Adversarial Risks and Stereotype Mitigation at Scale in Generative Models
… before focusing on strategies to mitigate biases specifically in generative language models. First, we reveal how programming language (PL) models rely on a `natural channel' of code, such as human-readable tokens and structure, that adversaries can exploit with minimal perturbations. These …
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Towards a transparency-based, value-sensitive design solution for bias in self-driving cars: An ethical violation assessment and risk analysis framework on consumer-held values
… important to address ethical violations such as bias in AI, highlighted by many real-world cases of bias in AI leading to unfair outcomes in tools like facial recognition, hiring software, and pedestrian detection. Bias in AI can lead to potentially fatal outcomes in SDCs, emphasizing the need …
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INTEGRATING CULTURALLY SUSTAINING PEDAGOGY TO DISRUPT OPPRESSIVE PRACTICE
… learners will require identifying and mitigating bias among the staff, incorporating the voices of the South Asian parents, and mobilizing the knowledge of community stakeholders to integrate culturally relevant curriculum into daily practice. At the heart of my approach to solving the problem at …
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Organizational Decision-making in the Age of Big Data and Artificial Intelligence
… <p>Study 3: Extant research on algorithmic bias has mostly approached the subject from a technical perspective, with few studies investigating the decision bias of human-machine collaborative decision-making, wherein human experts have the final say after working with the algorithms. In this …
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Continual Learning for Affective Robotics
… is disadvantaged and the robots’ perception is bias-free. Exploring different domain groups based on gender and race attributes, this dissertation proposes and evaluates CL as an effective strategy to ensure fairness in Facial Expression Recognition (FER) systems, guarding against biases arising …
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Quantification of Various Types of Biases in Large Language Models
… not the Large Language Models (LLMs) in use have bias and are therefore unfair. The majority of the research in NLP bias has focused on societal stereotype biases embedded in LLMs. However, our research focuses on all types of biases, namely model class level bias, stereotype bias and domain bias …
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Improved integration of information to reduce subsurface model bias
… data-related issues like cognitive and sampling biases, and model-related challenges including statistical assumptions, misspecification, and algorithmic biases. These challenges introduce four critical implications during subsurface modeling. Firstly, subsurface sampling is subject to sampling …