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 14 of 14 for “"algorithmic decision-making"”.
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Beyond the "Black Box": Enabling Meaningful Transparency of Algorithmic Decision-Making Systems through Public Registers
Deployments of algorithmic decision-making systems (ADMs) by the public sector have been plagued with opacity. There is a baseline lack of visibility of the context and purpose of the ADM system as well as its potential risks to individuals and collective goods. In many cases, citizens are unaware …
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Evidence-based AI Ethics
With the rise in prominence of algorithmic-decision making, and numerous high-profile failures, many people have called for the integration of ethics into the development and use of these technologies. In the past five years, the field of “AI Ethics” has risen to prominence to explore questions …
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Impact of personalization on businesses and their stakeholders
… individual users through data-driven models and algorithmic decision-making — has become a strategic axis for contemporary European firms, promising enhanced engagement, increased efficiency, and new pathways for value creation. This dissertation investigates the multifaceted economic, …
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Size-Adaptive Convolutional Neural Network with Parameterized-Swish Activation for Enhanced Object Detection
… the framework employs statistical analysis and algorithmic decision-making to improve detection capabilities. Further innovation is presented through the Parameterized-Swish activation function. Distinguished by its dynamic parameters, this function is designed to better adapt to varying input …
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Essays on the Economics of Algorithms, Markets, and Organizations
… in investment patterns for both humans and algorithmic investors and changing house prices, particularly for minority homeowners. In the second chapter, I study how hiring algorithm design shapes the effects of algorithms in the labor market. Using data from a professional services firm, I …
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Machine Learning in Consumer Credit: Legal, Economic, Ethical & Policy Implications
… intelligence will either inherently improve decision-making for the better or only result in harm to end-users. Through an interdisciplinary and multifaceted survey of economic, normative, policy, and legal issues, this thesis evaluates existing laws and proposes recommendations for future …
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On Machine Learning Loss Landscapes
… insights into machine learning models and their decision making process. Today, the most critical questions in machine learning are matters of model performance, robustness and interpretability. Here, tools from the energy landscapes field in theoretical chemistry are used to study these …
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Methods to Improve Fairness and Accuracy in Machine Learning, with Applications to Financial Algorithms
Critical decisions like loan approvals, foster care placements, and medical interventions are increasingly determined by data-driven prediction algorithms. These algorithms have the potential to greatly aid decision-makers, but in practice, many can be redesigned to achieve outcomes that are …
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Algorithmic Advances for Fair and Efficient Decision-Making in Online Platforms
… dynamic and complex environments where efficient algorithmic decision-making is essential. These platforms must continuously adapt to rapidly changing user behaviors, market fluctuations, and data uncertainties while optimizing for both learning efficacy and revenue generation. However, focusing …
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Adversarial Resilient and Privacy Preserving Deep learning
… deep learning as a core component for algorithmic decision making and cognitive machine intelligence, ranging from data poisoning and model inversion during the training phase and adversarial evasion attacks during model inference phase, aiming to cause the well-trained model to …
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AI governance: investigating a rights-based approach to explanation in AI
… use of AI may be, its widespread adoption as a decision-making system in a variety of sectors, including the criminal justice system, healthcare, law enforcement, etc., merely because they are more effective and perform tasks better and faster than humans have created novel challenges that were …
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Organizational Decision-making in the Age of Big Data and Artificial Intelligence
<p>This dissertation examines organizational decision-making in the context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, …
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Queering Law and Artificial Intelligence: Towards a Technology Oriented Principle of Equality
… multiple domains, including government welfare decision-making, airport security control, policing and criminal justice, online content moderation, hiring processes, and healthcare decisions. These failures disproportionately impact individuals based on ethnicity, sex, gender, sexual …