** Despite the high research activity in AI safety, there is a lack of focus on the development of robust frameworks for real-time verification and validation of AI models during deployment in safety-critical environments. Additionally, ethical considerations around algorithmic bias and its mitigation in high-stakes decision-making processes remain underexplored.
2. **
THE OPPORTUNITY
** The combination of 744 recent publications and 417 open roles indicates a rapidly growing interest and need for expertise in AI safety, presenting a fertile ground for researchers to make significant contributions. This suggests ample opportunities for newcomers to enter the academic and industry workforce, highlighting a demand for innovative solutions and interdisciplinary collaboration in this space.
3. **
Develop a framework for dynamic risk assessment of AI systems in real-world applications, focusing on adjustments during live operations.
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Explore the implications of human-AI collaboration in decision-making processes, particularly how trust levels can be quantified and improved in safety-sensitive contexts.
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Investigate the socio-technical aspects of AI safety, specifically how cultural differences impact the interpretation and enforcement of AI governance policies.
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+ abstract
The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.
+ abstract
The localization of prostate cancer by ultrasound remains limited by the lack of B-mode conspicuity and the confinement of clinically approved microbubbles (MBs) to the vasculature. This precludes differentiating viable tumor, necrotic tissue, and margin-associated disease. We investigated prostate-specific membrane antigen (PSMA)-targeted lipid-shelled perfluorocarbon nanobubbles (PSMA-NBs) in an...
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This article examines the differences between human judgment and algorithmic decision-making in critical logistics systems, focusing on the implications for the concepts of trust and control. The aim of the study is to determine whether AI-based systems can perform functions equivalent to human judgment and what implications this has for operational safety and accountability in complex logistics s...
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This article examines the differences between human judgment and algorithmic decision-making in critical logistics systems, focusing on the implications for the concepts of trust and control. The aim of the study is to determine whether AI-based systems can perform functions equivalent to human judgment and what implications this has for operational safety and accountability in complex logistics s...
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As artificial intelligence gets deeply embedded into immersive environments, attention-guiding technology delivers ever more precise and efficient outcomes. Still, this improved efficiency carries an overlooked design risk: excessive AI guidance may steadily erode user agency and undermine exploratory behaviors as well as the process of meaning-making. This paper builds a critical conceptual frame...
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The European Union's Artificial Intelligence Act creates a binding, economy-wide transparency regime directed specifically at providers of general-purpose AI models. Whether such rules alter model-development practice, rather than merely producing legal documentation outside public view, is an empirical question. This article offers an early model-level assessment using a daily updated public data...
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The European Union's Artificial Intelligence Act creates a binding, economy-wide transparency regime directed specifically at providers of general-purpose AI models. Whether such rules alter model-development practice, rather than merely producing legal documentation outside public view, is an empirical question. This article offers an early model-level assessment using a daily updated public data...
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This conceptual narrative review examines the role of generative artificial intelligence (AI) in Korean language learning. The paper synthesizes recent scholarship on AI-assisted language learning, Korean language education, technology acceptance, and educational ethics to develop an analytical framework for responsible classroom use. The review focuses on four dimensions: Korean language skills, ...
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Aim: This article examines the dual role of artificial intelligence (AI) in smart logistics, focusing on its capacity to strengthen human and operational safety while simultaneously creating new risks for data protection, cybersecurity and automated decision-making. Methods: The study applies a structured literature review covering publications from 2018–2025 in Web of Science Core Collection, Sco...
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Do large language models (LLMs) possess a measurable "personality," and how do the linguistic properties of training corpora shape their cognitive style and downstream reasoning? This paper approaches these questions from a sociolinguistic perspective on machine "identity." This manuscript is positioned explicitly as a conceptual perspective paper: it does not present original experimental data, n...