Digital Commons Network^™

How Leaders Build Employee Trust In Artificial Intelligence: Voice Opportunities, Humility, And Trust Transfer, Jack Mcguire, David De Cremer, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Artificial intelligence is increasingly central to organizational work, yet employee trust in AI remains fragile. Although prior research has primarily explained trust in AI through technological characteristics such as transparency, reliability, and accuracy, we argue that trust in AI is also shaped by the social context in which employees encounter these systems. Drawing on affect-as-information theory and social information processing theory, we develop and test a model in which leader-provided voice opportunities reduce employees’ negative affect about AI-related work experiences, thereby enhancing perceptions of leader trustworthiness and, in turn, trust in AI. We further propose that this indirect effect depends …

Sex-Based Disparities In Artificial Intelligence For Cardiovascular Disease: A Scoping Review, Maurgan Lee, Tarek Atasi, Michael Mclellan, Yodit Beru, Jason Booza

Population, Patient, Physician and Professionalism Projects

No abstract provided.

Generative Artificial Intelligence-Driven Augmentation With Deep Feature Fusion Model For Rare Disease Detection And Classification, V. Kavitha

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Rare disease detection focuses on identifying rare health conditions that affect a tiny fraction of people. Detection is challenging because symptoms are often ambiguous and information is limited. In recent years, retinal diseases have become a serious problem worldwide. Progressing a computer-assisted diagnosis (CAD) method is highly beneficial and functional for ophthalmologists. Proper detection and treatment can save eye vision. Deep learning (DL) has advanced across various scientific fields and is leveraged for numerous healthcare tasks. This research presents a Generative Artificial Intelligence-Assisted Adaptive Feature Fusion Network for Rare Retinal Disease Detection (GAIAFF-RRDD) technique assists ophthalmologists by allowing early and …

From Data To Victory: The Race For Analytic Superiority In Warfare, Robert Grossman, Emily Goldman

Joint Force Quarterly

Artificial intelligence technologies have reached a tipping point after decades of development. They are diffusing widely across defense and national security applications. Twenty-first century warfighters rely on analytic models in all systems, at all echelons, and in all domains. As more powerful models built on ever larger data sets become ubiquitous, militaries are in a new competition to deploy artificial intelligence. Operational art must embrace “analytic superiority.” This is the operational advantage from collecting and ingesting data, building robust models and computing infrastructure, deploying the models into operational systems, and denying adversaries' ability to do the same

This article explains …

Leading From The Precipice: How Academic Deans Are Navigating Artificial Intelligence In Higher Education, V. Dozier, Sarina Chugani Molina

Copley Library: Faculty Scholarship

This qualitative case study examines how associate deans at a medium-sized Catholic university respond to the rapid integration of generative artificial intelligence (AI). Guided by decolonial and feminist frameworks, the study analyzes survey data from seven academic leaders to understand their concerns, decision-making processes, and emerging practices. Our findings reveal uneven adoption, limited institutional guidance, and ongoing concerns about academic integrity, equity, and bias. The study also highlights the often-unseen relational and emotional labor involved in supporting faculty and students. We conclude by recommending flexible, collaborative approaches to AI governance that attend to context, care, and diverse ways of knowing.

Artificial Intelligence Models For Automated And Semiautomated Analysis And Interpretation Of Clinical Electroencephalography, Sándor Beniczky, Birgit Frauscher, Fábio Nascimento, Shobi Sivathamboo, Catalina Rojas, Michael Sperling, Samden Lhatoo, Philippe Ryvlin, Levin Kuhlmann

Department of Neurology Faculty Papers

Electroencephalography is the most commonly used diagnostic tool for epilepsy. However, interpreting electroencephalograms (EEGs) requires expertise that is not widely available. Advances in digital technology and wearables have enabled large-scale EEG recording, generating vast amounts of data that cannot be managed through traditional visual interpretation by experts. Artificial intelligence (AI) has the potential to augment human expertise and reduce workloads. The application of artificial neural networks in analysing clinical EEG recordings has led to major breakthroughs, bringing AI-based EEG interpretation closer to clinical implementation. In this Review, we summarise the most important research and development results in this field from …

Insect Monitoring Without Pitfalls: Seven Steps For Robust Insect Sensing Systems, Jamie Alison, Luca Pegoraro, Jarrett Blair, Yuval Cohen, Birgen Haest, Jacob Idec, Jacob Kamminga, Jenna Lawson, Meng Li, Leandro Aparecido Do Nascimento, Charlotte L. Outhwaite, Benjamin Rutschmann, Maximilian Sittinger, Mariana Abarca, Et Al

Biological Sciences: Faculty Publications

1. Data shortages fuel controversy about an ongoing insect biodiversity crisis. Insects are immensely diverse and functionally critical for ecosystems, yet data on their trends remain patchy and biased. Sensors, ranging from camera traps and acoustic recorders to weather radar stations, are set to transform data collection in entomol- ogy. Meanwhile, AI models that extract biological information from sensors are improving at a startling rate.

2. Realising the potential of automated monitoring means progressing from proof- of-concept studies to scalable insect sensing systems. However, stakeholders face severe operational challenges when adopting a growing suite of sensors, models and protocols for …

Co-Dominion: The Changing Nature Of The Adamic Covenant In An Age Of Artificial Intelligence, Corey Hastings

Masters Theses

Theologians and religious bodies attest to the rising influence of artificial intelligence (AI) in governments, the economy, and the lives of the people of God. Through the covenant with Adam, God gave humans the blessing of dominion and capabilities unique to creation to till the earth. Today, humans retain the image of God but AI increasingly displaces human functions with coordinated agency. Using Hebrew language exegesis of passages from Genesis, Exodus, and Leviticus, this study compares capabilities gifted to humans with the scope of current and near future AI models. It incorporates direct artifact analysis of a large-language model as …

An Analysis Of Artificial Intelligence Systems On The Teaching Of Music Improvisation, Composition, And Instrumental Pedagogy, Carter K. Murphey

Doctoral Dissertations and Projects

Artificial intelligence (AI) has experienced a significant boom in the first half of the 2020s and has significant implications for the fields of music composition, music production, and music education. AI Large language models (LLMs) such as ChatGPT are frequently used sources for students on a wide range of academic subjects, and can provide in-depth, well-informed and eloquently written explanations in a matter of seconds. Music generative AI programs such as Suno and UDIO can almost instantaneously compose and produce musical recordings from word-generated prompts from users. Noise cancelling AI software such as Moises can create isolated instrumental tracks from …

From Disruption To Replacement: The 2026 Cae Cybersecurity Community Symposium And The Emerging Federal-Academic Compact For An Ai Workforce, Sunday Oludare Ogunlana

Journal of Cybersecurity Education, Research and Practice

The cybersecurity workforce gap in the United States is estimated at several hundred thousand unfilled positions, and the rapid integration of artificial intelligence into adversary tradecraft and federal cyber operations is widening that gap qualitatively as well as quantitatively, threatening national security and the operational readiness of graduates entering the field. This perspective article synthesizes the principal arguments advanced by five federal and academic speakers at the 2026 CAE Cybersecurity Community Symposium, using verbatim session transcripts, a structured thematic extraction process, and triangulation against published workforce policy and peer-reviewed literature. Findings document a unified speaker thesis that artificial intelligence now …

The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith

Publications and Research

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as …

Magnifica Humanitas For The Marginalized, Nabila Feroz Bhatti

The Journal of Social Encounters

No abstract provided.

Humanity’S Grandeur In The Balance: Theological Reflections On Magnifica Humanitas, William L. Portier

The Journal of Social Encounters

No abstract provided.

The Fridge And The Drone: A Reflection From The Perspective Of Palestinian Liberation Theology On Magnifica Humanitas, Omar Haramy

The Journal of Social Encounters

No abstract provided.

Riyadh Charter On Artificial Intelligence For The Islamic World, - Islamic World Educational, Scientific And Cultural Organization (Icesco), - Saudi Data And Artificial Intelligence Authority (Sdaia)

The Journal of Social Encounters

The Riyadh Charter on Artificial Intelligence for the Islamic World was launched by the Islamic World Educational, Scientific and Cultural Organization (ICESCO) and the Saudi Data and Artificial Intelligence Authority (SDAIA) in September 2024, in collaboration with the Saudi National Commission for Education, Culture, and Science, during the third Global AI Summit (GAIN Summit) in Riyadh.

The Charter has been widely recognized and endorsed by Islamic scholars and policymakers. During the 26th Session of the Council of the International Islamic Fiqh Academy, it was highlighted as a moral and strategic compass for AI technologies, addressing the limitations of existing international …

Preliminary Report - Evidence-Based Assessment Of Opportunities, Risks And Impacts Of Artificial Intelligence, - United Nations Independent International Scientific Panel On Ai

The Journal of Social Encounters

No abstract provided.

Encyclical Letter "Magnifica Humanitas", - Pope Leo Xiv

The Journal of Social Encounters

No abstract provided.

Introduction: Essays On Artificial Intelligence And Magnifica Humanitas, Ron Pagnucco

The Journal of Social Encounters

No abstract provided.

Who Owns Land, Who Owns Language? Challenging The Commercialization Of Indigenous Language Data, Matthew Riemland

Maya America: Journal of Essays, Commentary, and Analysis

As Indigenous scholars and activists have pointed out, the commercialization of Indigenous language data resembles the historical and ongoing dispossession of Indigenous land. Using Mayan languages as a case study, this article illustrates the process by which digital advertising platforms – Google and Meta – appropriate and benefit commercially from Indigenous language data, drawing parallels with the dispossession of Indigenous land. It identifies the significant costs of this commercialization to Indigenous communities, including the lack of compensation for the Indigenous language data’s commercial value, the distortion of Indigenous communities’ linguistic and cultural representation online, and the reinforcement of extractive relationships …

Clinical Utility Of An Fda-Authorized Artificial Intelligence Imaging Platform In Interstitial Lung Disease Diagnosis, Arjun Prakash Tambe, Ryan Boente, Gautam George, Fayez Kheir, Omid Tahamtani Omran, Kavitha Selvan

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

Background/Objectives: The diagnosis of interstitial lung disease (ILD) is challenging and frequently delayed. Clinically accessible and minimally invasive diagnostic tools are needed to expedite the diagnosis of ILD while minimizing risk to patients. Fibresolve is an imaging artificial intelligence (AI) tool recently approved by the Food and Drug Administration (FDA) for use in ILD diagnosis and made available to clinicians. The objective of this study was to describe its utility in clinical practice. Methods: We conducted a prospective, observational study of patients across the United States (US) in whom Fibresolve was utilized during routine clinical practice between July 2024 and …

Why Minds Need Bodies: Organismic Unity And Limits Of Artificial Consciousness, Renée Snow

Comparative Philosophy

This paper argues that functional organization alone is not sufficient for phenomenal consciousness or the existence of a unified subject of experience. While many contemporary accounts of artificial consciousness assume that replicating the causal or computational structure of the brain would be sufficient for subjective experience, this paper identifies a deeper constraint: consciousness depends on organismic unity. The argument proceeds through a triangulation of conceptual, empirical, and metaphysical considerations. First, Zuboff’s thought experiment shows that functional organization can be preserved while the unity of the subject dissolves, suggesting that causal pattern replication alone cannot secure subjectivity. Second, findings from neuroscience …

Leading The Change: Staff-Driven Ai Transformation In Smu Libraries’ Collection Team, Siew Khim Lim, Fion Goh

Research Collection Library

No abstract provided.

Cost-Effectiveness Evaluation Of Artificial Intelligence-Assisted Chest Radiograph Interpretation For Tuberculosis Screening In Rural Health Units In The Philippines, Harold Henrison C. Chiu, Bryan Christopher C. Lao, Gloanne C. Adolor

Graduate School of Business Publications

Background: Tuberculosis remains a major public health burden in the Philippines, where diagnostic delays are amplified by limited radiology capacity in rural health units (RHUs) and geographically isolated and disadvantaged areas (GIDAs). Computer-aided diagnosis (CAD) using artificial intelligence (AI)-assisted chest radiograph interpretation may shorten the screening pathway and reduce reliance on scarce specialist readers. However, its economic value for RHUbased tuberculosis screening has not been fully evaluated.
Methods: We developed a decision-tree cost-effectiveness model in Microsoft Excel 365 to compare AI-assisted chest radiograph interpretation with conventional manual radiologist or teleradiology interpretation among a theoretical annual cohort of 1,000 presumptive tuberculosis …

Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta

Dissertations and Theses (Open Access)

In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …

The Relativity Of Education: Student Perspectives On Artificial Intelligence In Community College, Ashley Greta Magana

Electronic Theses, Projects, and Dissertations

This hermeneutic phenomenological study examined how diverse community college students experience and make meaning of the integration of generative artificial intelligence (AI) into their educational contexts. Although AI is quickly transforming higher education through automated grading, personalized learning systems, and new models of assessment, the discourse surrounding its implementation remains dominated by administrators, faculty, and institutional stakeholders, while the perspectives of students, specifically community college students who are often historically underrepresented and economically marginalized, are systematically excluded. Most existing research is quantitative and centered on universities, leaving a critical gap in qualitative understanding of the most diverse population in higher …

Artificial Intelligence (Ai) In Forensic Psychology: An Umbrella Review Of Potentials And Pitfalls, Ysabel Thereze Ang Guevarra, Nur Eva Alisha Binte Mohamed Hisham, Andree Hartanto

Research Collection School of Social Sciences

Artificial intelligence (AI) is becoming increasingly embedded within forensic psychological practice, shaping how criminal risk, legal responsibility and public safety are assessed. AI tools are now used in recidivism prediction, behavioural analysis, deception detection and investigative support, high-stakes domains where errors can have profound consequences. Despite this rapid adoption, the existing literature remains fragmented, with most reviews confined to narrow subdomains and offering limited integrated synthesis of AI′s broader role in forensic psychology. Thus, this umbrella review addresses this gap by synthesising findings from 43 reviews obtained from five major databases, namely EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus and Web …

Caring With Ai: The Efficacy Of A Customised Chatgpt-Delivered Self-Compassion Intervention On College Students' Well-Being And Academic Functioning, Tracy Xi Chen, Chi-Ying Cheng, Andree Hartanto

Research Collection School of Social Sciences

College students face various challenges, including academic pressure, social stress, and the transition into adulthood, which can lead to increased anxiety and other mental health issues. By recognizing personal struggles as part of a shared human experience and responding with kindness, self-compassion serves as a powerful strategy for enhancing resilience, facilitating better well-being and performance outcomes. Although effective, Compassion-Focused Therapy often requires substantial resources and time, limiting its applicability to college students. To overcome these barriers, the current study designed and evaluated Your Self-Compassion Companion, a ChatGPT-powered AI chatbot intervention grounded in self-compassion theory and delivered over three weekly 20-min …

Parameter Dependent Chen-Fliess Series And Their Nonrecursive Interconnections, Natalie T. Pham

Electrical & Computer Engineering Theses & Dissertations

In control theory, a Chen-Fliess functional series is a weighted sum of iterated integrals constructed from a given set of input functions. Such series can be used to represent nonlinear input-output systems. In applications, they have been employed to characterize interconnected nonlinear systems, to solve system inversion and tracking problems, and to design predictive and adaptive controllers.

Distributed parameter systems exhibit spatial dependence along with temporal dependence. Such systems are typically represented in terms of partial differential equations. In control theory, there appears to be no existing method for representing the input-output map of a distributed system via a Chen-Fliess …

Psychological Needs And Ai Delegation Across Four Social Domains - A Cross-Cultural Analysis Of 35 Nations, Magnus Liebherr, Ala Yankouskaya, Mohamed Basel Almourad, Justin Thomas, Guandong Xu, Raian Ali

All Works

As artificial intelligence (AI) systems increasingly assume roles with social, educational, and emotional significance, understanding the psychological drivers behind individuals' readiness to delegate such roles to AI is crucial. Drawing on Self-Determination Theory (SDT), this study examines how the satisfaction of basic psychological needs (autonomy, competence, and relatedness) predicts individuals' readiness to delegate socially significant roles to AI across four domains (education, healthcare, mental health, and companionship) and 35 nations. Using data from over 35,000 participants in the 2023 Global Digital Wellbeing Survey, we applied Bayesian multilevel multivariate modelling to assess both global and culture-specific motivational associations. Results revealed that …

Leveraging Generative Artificial Intelligence To Effectively Implement School Counseling Interventions And Programs, Jeffrey M. Warren

Journal of Technology in Counselor Education and Supervision

Academic and mental health concerns persist in K-12 schools across the country. School counselors play a central role in addressing these issues and supporting the academic success, social/emotional development, and college and career readiness of all students. However, school counselors face numerous barriers when promoting student success. Making matters worse, emerging literature suggests that school counselors lack a clear understanding of how to implement programs and interventions effectively. Artificial intelligence can play a vital role in helping school counselors deliver effective and efficient services. This article provides overviews of implementation science and generative artificial intelligence. A case example and analysis …