Despite the high volume of research activity in AI alignment, there is a noticeable lack of focus on developing robust evaluation mechanisms for the moral and ethical decision-making processes of AI systems. Moreover, the implications of AI alignment on human-AI collaboration—particularly regarding trust, transparency, and user comprehension—remain underexplored.
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THE OPPORTUNITY
The disparity between the 416 recent publications and 62 open roles indicates a vibrant research environment where demand for skilled researchers is high, suggesting that there is a significant opportunity for early-career researchers to contribute innovative insights. This also points to a growing trend where funders and institutions are increasingly valuing practical applications of AI alignment research, leading to potential funding and job opportunities for impactful work in the field.
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Investigate the development of explainable AI frameworks specifically tailored for high-stakes scenarios, such as healthcare or criminal justice, addressing how alignment can impact real-world outcomes.
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Explore the ethical implications of AI systems competing with human values and how this affects societal trust and acceptance of autonomous technologies.
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Conduct empirical studies on the psychological effects of human-AI interaction dynamics, particularly investigating how perceived AI alignment influences user decision-making and behavior in collaborative settings.
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Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic appreciation operates as the biological execution of this IRL process. To address the generative crash and broader AI alignment failures, I introduce the Ghost Scale (an HCI cognitive ...
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Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic appreciation operates as the biological execution of this IRL process. To address the generative crash and broader AI alignment failures, I introduce the Ghost Scale (an HCI cognitive ...
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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 study applies a streamlined User-Centered Design (UCD) approach, enhanced with AI elements, to address common administrative challenges faced by international students, such as information fragmentation and unclear processes. Using National University (NU) as a case study, the research followed core UCD stages to develop the prototype of the NU International Student Services (NUISS). These st...
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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...
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As generative artificial intelligence and automated content curation rapidly reshape the global media landscape, the intersection of algorithmic justice and media governance has become a critical frontier for sustainable development. This study provides a comparative communication policy analysis of China and South Korea, focusing explicitly on how their distinct regulatory toolkits address the te...
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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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January 8, 2026 - Update: Added "repobundle_A1_Sensor.zip" The original confirmatory analysis (preregistration-Locked) has been packaged (while maintaining all previous versions) for ease of reproducing the confirmatory analysis. Also, the event data set evolved from a V1 (legacy) 109 events, to V2 with 5100 dated events; and this analysis on the V2 dataset is being named "sensor_A1" as part of a ...
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ABSTRACT Traditional Human Resource Management (HRM) methods continue to hold significant relevance in the contemporary workplace despite rapid digital transformation. While the modern HR landscape is driven by automation, AI analytics, and digital tools, offering efficiency and scalability, these technologies often critically lack emotional depth. The core value of traditional HR lies in its emph...
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ABSTRACT Traditional Human Resource Management (HRM) methods continue to hold significant relevance in the contemporary workplace despite rapid digital transformation. While the modern HR landscape is driven by automation, AI analytics, and digital tools, offering efficiency and scalability, these technologies often critically lack emotional depth. The core value of traditional HR lies in its emph...