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 18 of 18 for “"Automated Decision-Making"”.
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A Data Fusion Approach to Automated Decision Making in Intelligent Vehicles
… to act. Future vehicles will need more complex decision making modules which receive the raw data from all available sources, process this data and inform the driver about the existing or impending situations and suggest, or even take actions. Intelligent vehicles can take advantage of using …
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Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
This thesis proposes a set of practical applications that utilizes the sharing of intent information and intended courses between marine vehicles operating in the vicinity of a Traffic Separation Scheme in order to reduce risk of collision for vehicles with intentions to join in accordance with …
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An algorithm must be seen to be believed : right to an explanation of automated decision-making in the GDPR
… in the world of artificial intelligence and automated decision-making have brought new challenges for the protection of personal data. Just like their human counterparts, algorithmic decision-makers can be biased and discriminatory which can have serious consequences data subjects. News of …
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The development of an automated decision-making framework through the utilisation of the latest Enterprise Resource Planning (ERP) technologies for organisational change
… that has succeeded in automating processes and decision-making through the utilisation of the latest Enterprise Resource Planning (ERP) technologies for organisational improvement. As Chair of an organisation comprising 3000 employees with 15 firms in various lines of business and a history of …
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A Test Suite for Saliency Method Evaluation Metrics
… essential input features inf luencing model decisions, serve as a key tool for understanding model behavior. Yet, their effectiveness can vary, often presenting challenges in selection due to their inconsistent reliability and the potential for unfaithful representations of model dynamics. To …
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Information fusion architectures for security and resource management in cyber physical systems
… the computational cyber components. The control decisions sent back to the actuators on the physical components from the computational cyber components closes the feedback loop of the CPS. Since, this feedback is solely based on the data collected through the embedded sensors, information …
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Summarizing Conditional Preference Networks
… and has applications in recommender systems and automated decision-making. The eventual objective of working with preference models is to be able to reason about preferences over objects, often referred to as outcomes. In most of the literature, each outcome is described as an assignment of …
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IL CONSUMATORE NELL’ECONOMIA DEL DEBITO. Sovraindebitamento, responsabilità e mercato del credito nell’ecosistema digitale
… the risks of opacity, discrimination, and automated decision-making in credit allocation processes, while questioning the transformation of the notion of creditworthiness and the emerging forms of intermediary liability. The thesis ultimately argues for the need to complement remedial …
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Product Purity Prediction and Anomaly Detection for an Automated Peptide Manufacturing Platform
… synthesis process. The most important tool for making purity predictions is UV absorption on the byproducts and excess reagents that come out of the reactor, where the peptides are made. A large part of this thesis was improving the quality of the UV data in order to make purity predictions …
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Financial evaluation and decision making processes for environmental technology projects
… despite its value in influencing critical decisions being made elsewhere in the organization. For example, though The Boeing Company has taken strides in incorporating environmental cost-benefit data when evaluating new environmental technology projects, a data gap between available data …
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Adversarial-resilience assurance for mobile security systems
… devoted by security analysts. In the efforts of making security systems automated and systematic, multiple intelligent techniques, such as program analysis and machine learning, have been introduced in the mobile security systems for better security decision making. However, these intelligent …
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ARTIFICIAL INTELLIGENCE IN PUBLIC WELFARE POLICIES: ADOPTIONS, PERCEPTIONS AND TRUST
… and public services, this work examines automated decision-making tools (ADM) and AI in Italian public welfare policies. Firstly, using qualitative methods, I explore how public employees perceive that AI adoption in public welfare policies can affect organizational and social factors …
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Approximate Inference: New Visions
… ultimate purpose of these systems is to perform automated decision making, and in order to achieve this, predictive systems need to return estimates of their confidence. Powered by the rules of probability, Bayesian inference is the gold standard method to perform coherent reasoning under …
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A post-processing framework for group fairness
Machine learning models are increasingly powering automated decision-making systems that influence everyday life, thanks to their ease of deployment. But this convenience belies the risk that, without proper oversight, they may cause disparate impacts across demographic groups. For instance, models …
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Risk-bounded Programming using Constrained, Hierarchical, Stochastic Shortest Path Problems
… guaranteeing safety in the face of extensive decision-making and uncertain scenarios has proven to be a formidable challenge. We argue that an autonomous agent designed for safety-critical and largescale domains must successfully overcome the following challenges: 1) the agent must be able to …
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Critical infrastructure organisation management - An analysis of the transition to the Industry 4.0 era
… storage, and analysis processes will be fully automated to enable automated decision-making with minimal human intervention. However, advancements of this type will change how critical infrastructure (CI) organisations are structured and managed. At present, organisational theory lacks the …
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Staff minimization strategy for micro-reactors
… of consequential accidents. Moreover, automated decision making enabling autonomous operation can help lower the need for human operators, thus reducing the cost of the energy products. These very small nuclear reactors are generally referred to as micro-reactors and have a thermal …
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A Study on Data Imbalance: Using Metrics on Input Data to Foresee Bias and Fairness in Classification Outcomes
Abstract presente tra gli allegati