Digital Commons Network^™

Artificial Intelligence And Technology - Joni Full Issue July 2026, Angie Holzer

Journal of Nonprofit Innovation

No abstract provided.

Automated Media: Challenges And Opportunities For Media Literacy Education, Arnaud Claes, Jerry Jacques, Antonin Descampe, Victor Wiard

Journal of Media Literacy Education

This paper offers a theoretical reflection on the evolving landscape of automated media, focusing on how automation and so-called Artificial Intelligence (AI) are reshaping traditional media-related practices and the competences required for media literacy. It examines how automated media technologies, such as recommendation algorithms and generative AI, might reshape the critical skills necessary to navigate a complex digital ecosystem. By framing AI-driven media practices through a social-action perspective and treating media as human activities, we argue that media literacy models should encompass competences related to the operation of computational automata, particularly through the management of inbound and outbound information flows. …

Can An Ai System Be Creative? A Critical Perspective From Art And Engineering, Ivan Magrin-Chagnolleau

Presidential Fellows Articles and Research

This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage and film director, writer, composer, and visual artist, and in philosophy. Drawing on Margaret Boden’s foundational framework — both her three properties of creativity (novelty, surprise, and value) and her three types of creative processes (combinatorial, exploratory, and transformational) — the paper argues that AI systems are structurally incapable of creativity in …

Assessing Flaws In Captcha Security Through Progress In Ai, Jaydon Stanislowski

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Protecting the internet from the threat of malicious bot activity is an important problem as AI tools become more powerful and commonplace over time. To that end, security measures are employed across websites in the form of CAPTCHAs, short challenges designed to identify and block fake web traffic. Yet, they become less effective over time as AI becomes more powerful, and thus more capable of solving them. This paper examines recent research on the threat to CAPTCHA security posed by current AI models and how this security can be reinforced over time, focusing primarily on Google’s reCAPTCHA v3.

The Generative Turn: What Ai Doesn't Do And A Framework For Responsible Use, Deborah Lee

Mississippi Libraries

This column examines the limitations of generative AI as a foundation for responsible and informed use.  While much attention has been given to what AI can do, effective and responsible use depends on understanding what it does not do well.  For librarians as professionals grounded in information literacy, these limitations underscore the importance of critical evaluation and contextual understanding.  By recognizing both the capabilities and constraints of AI, librarians can better guide their communities in using these tools thoughtfully and effectively.

Expert Interview: "The Mirror Of Ai" In The Domain Of Scientifc Information Research, Taitian Mao, Yulai Bao, Jianxiang Wei, Peng Wu, Chuanming Yu, Gan Tang, Dongyan Wei, Yifei Ma, Wei Wang, Yu Ma

Journal of Scientific Information Research

Professor Mao Taitian and colleagues argues elucidates the adaptation logic, practical pathways, and prerequisites of intelligent agents to empower the high-quality development of scientific information. Professor Bao Yulai and colleagues advocate that integrating the perceptual elasticity of domain-specific large models with the cognitive rigidity of ontology can establish a new paradigm for intelligence services in complex scenarios. The synergy between the two can not only expand the theoretical boundaries of information science and serve national strategies, but also advance intelligence services from assisted analysis to intelligent decision-making. Professor Wei Jianxiang and colleagues point out that generative artificial intelligence has triggered …

Data-Driven Characterization Of Counties In The Prison Industrial Complex Using Clustering Analysis, Riley N. Tuccio

Capstone Projects

This project investigates the complex relationship between counties that house prisons in the United States and the rurality associated with them. The central research question explores how both county characteristics, such as variables corresponding to cost of living and demographics of a county, and prison characteristics, such as programming available to inmates and staffing levels, differ across the census-designated rural-urban distinctions. Furthermore, the study examines whether modern data science methods can more accurately define and distinguish these characteristics, providing a nuanced understanding of the Prison Industrial Complex (PIC) and its manifestation across various American communities. The motivation for this research …

Posthuman Architecture And The Machine: A Theoretical Approach To The Impacts Of Artificial Intelligence On Architecture, Waleed Joudah Nassar Alsaadi, Ibrahim Jawad Kadhim Al-Yousif

Iraqi Journal of Architecture and Planning

Posthumanist philosophy shifts the focus away from independent, human-centred thinking toward diverse, pluralistic modes of knowledge. It adopts the idea that human agency is interconnected with a broad network of other actors, such as contemporary intelligent machines, most prominently embodied in artificial intelligence. This research discusses the relationship and interconnection between architecture in its posthuman form and technology, selecting artificial intelligence as a model of this technology, as it represents the most significant technical and intellectual revolution at present. The study examines posthumanism as a radical theoretical model that seeks to transcend the limitations of human thought and anthropocentrism. The …

Ai-Powered Synthetic Biology: Current Situation, Challenges, And Future Perspectives, Izem Olcay Sahin, Nuriye Gokce, Duygu T. Yildirim, A. Baki Yildirim, Hilal Akalın, Donald Martin, Tommaso Beccari, Oscar Vicente, Iza Radecka, Fideline Tchuenbou-Magaia, Robert S. Marks, Ratnesh Lal, Satya Prakash, Adam Mechler, Mario Petrov Milkov, Svetlana Fotkova Georgieva, Ilia Iliev, Kosi Gramatikoff, Ed Judge, Milica Markovic, Radka Kaneva, Galina Aleksieva Yaneva, Nadya Vasileva Agova, Nikoleta Dobromirova Ivanova, Mariya Kiryakova Tsvetkova, Ivelin Rosenov Iliev, Michel Salzet, Kisung Ko, Michele Maffia, Chiara Coppola, Matteo Bertelli

Research Outputs: 2025-Present

Synthetic biology has evolved from a set of engineering aspirations to an operationally sophisticated discipline, and artificial intelligence (AI) is its fastest-growing accelerant. This review traces that convergence across six interlocking domains: systems-level biological modeling, de novo protein engineering, metabolic and microbial programming, multi-omics data integration, regulatory element design, and clinical translation. For each domain, we survey established results, integrate findings from 2010–2026 literature, and articulate the trajectories that will define the next decade. Emerging themes include physics-informed neural networks for mechanistically constrained biological modeling, drug design, and federated learning architectures that allow global omics collaboration without centralizing sensitive data, …

Artificial Intelligence-Supported Assessment In Education: A Systematic Review Of Validity, Fairness, And Impact On Learning Outcomes, Mohammed Al Mohazie

Scientific Journal of King Faisal University: Humanities and Management Sciences

Artificial intelligence (AI)-supported assessment is increasingly used in education to automate scoring, provide feedback, predict learner performance, and support instructional decision-making. This systematic review synthesized evidence on the validity, fairness, and learning impact of AI-supported assessment across educational contexts. A systematic search of ERIC, Web of Science, Scopus, PsycINFO, PubMed, and Education Source identified peer-reviewed studies published between 2010 and 2025. Twelve studies met the inclusion criteria and were synthesized narratively following PRISMA 2020 guidance. The findings indicate that AI-supported assessment shows promising validity evidence, particularly in automated writing assessment, short-answer scoring, and predictive learning analytics, with several studies reporting …

An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom

Al-Esraa University College Journal for Engineering Sciences

In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …

Umn Morris Receives Grant To Develop Tool To Monitor Ai Data Centers' Impacts On Water Quantity And Quality, Communications And Marketing

Campus News Archive

No abstract provided.

Combination Of Using Chatgpt And Quizlet To Learn Vocabulary: A Study Of Learners’ Perceptions, Uyên Tràn Như Lê, Huyen Diem Bich Bui

Journal of English and Applied Linguistics

Although vocabulary learning is essential for reading comprehension, many students encounter challenges in personalizing their learning due to limited access to supportive tools or techniques. The integration of digital learning platforms and artificial intelligence (AI) offers new possibilities for addressing this issue. The combination of Quizlet and ChatGPT 5.0 (free version) provides a promising solution for vocabulary learning. However, there remains limited research, especially in Vietnam, on how students perceive AI-assisted vocabulary learning. This study examines how 107 pre-intermediate-level non-majors at a university in Ho Chi Minh City perceive the combination of Chat GPT and Quizlet for vocabulary learning in …

The Pivotal Role Of Artificial Intelligence In Optimizing Pharmaceutical Formulation And Delivery, Ali Khidher Abbas, Mustafa M. Noori, Ibtihal Abdulkadhim Dakhil, Mohammed Hussain Al-Mayahy

Al-Esraa University College Journal for Medical Sciences

Artificial intelligence (AI) has emerged as a transformative technological paradigm within the pharmaceutical sciences, offering innovative and forward-looking solutions to surmount the inherent limitations associated with conventional drug development, formulation design, and therapeutic delivery systems. Traditional pharmaceutical methodologies frequently entail protracted development timelines, extensive experimental procedures, and substantial financial expenditures, particularly within the domains of formulation optimization and drug delivery design. The integration of AI-driven technologies – encompassing machine learning (ML), deep learning (DL), artificial neural networks (ANNs), and predictive analytics – has considerably accelerated pharmaceutical research by refining decision-making processes, alleviating experimental burden, and enhancing formulation efficiency. The present …

Mathematical Modeling And Image Processing Algorithms In Artificial Intelligence-Based Technical Vision Systems, Erkin Uljaev, Ulmasjon Ulfat Ogli Abdixalilov

Chemical Technology, Control and Management

This paper presents a comprehensive study on the development of a mathematical model and image processing algorithms for artificial intelligence-based technical vision systems. The research focuses on analyzing the structural organization and functional components of the system, including image acquisition devices, illumination subsystems, and data processing modules that ensure stable and accurate operation. A systematic and integrated approach is applied to model the transformation of object parameters and to enhance the accuracy, robustness, and reliability of object detection processes. Particular attention is given to image preprocessing, segmentation techniques, and contour detection algorithms, as these stages play a crucial role in …

Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev

Chemical Technology, Control and Management

This article addresses the problem of managing multi-agent robotic systems using artificial intelligence technologies. A hybrid model combining the Vision-Language-Action (VLA) architecture with the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is proposed for the synergetic control of a group of robots. The model is built on the Centralized Training with Decentralized Execution (CTDE) principle, with a Social-Force component incorporated into the reward function to automatically maintain a safe distance between agents. Experiments were conducted in the NVIDIA Isaac Sim environment using a dataset of over 10,000 trajectories and scenarios involving 4 to 16 agents. The results show a 90% …

A Novel Cryptographic Technique Using Amino Acid Compositions Enhanced By Artificial Intelligence Models, Omar Fitian Rashid, Mohammed Ahmed Subhi, Humam Al-Shahwani, Mohammed Khaleel Hussein

Mesopotamian Journal of Computer Science

Encryption plays a vital role in securing sensitive digital data, and traditional cryptographic systems are usually not immune to high-level attackers. The current approaches often base on the use of traditional mathematical models that become more vulnerable to contemporary cyberattacks. The purpose of the current paper is to suggest a new cryptography method that would combine the properties of amino-acid based encoding with artificial intelligence to improve data security. The technique builds amino acid and binary encoding tables, and performs structured mappings along with using a secure key that is produced by permuting a cryptographically secure pseudorandom number generator. Randomized …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

Where Evidence-Based Medicine Meets Ai: Promise, Pitfalls, And Practice, Sangil Lee, Joshua Davis, Ken Milne, Christina Shenvi, Lars K. Beattie, Martin Wegman, Laura Melville, Richard D. Shih, Bryan Kane

Department of Emergency Medicine Faculty Papers

No abstract provided.

Ai-Based Metacognitive Tutoring And Its Role In Enhancing Higher-Order Thinking Skills In Biology Learning: A Conceptual And Correlational Study, Ririn Mardiana Saputri, Sekar Juang Adilia Pantarei, Widi Purwianingsih

Jurnal Pendidikan Sains

Higher-order thinking skills (HOTS) are essential competencies in biology learning, yet many students continue to struggle with engaging in analytical, evaluative, and reflective thinking processes during science instruction. This study examines the role of AI-based metacognitive tutoring in supporting the development of HOTS in biology education. Employing a conceptual and correlational research design, this study integrates theoretical analysis with empirical correlational data collected from 85 senior high school students in Lombok, Indonesia. Metacognitive awareness was measured using the Metacognitive Awareness Inventory (MAI), while higher-order thinking skills were assessed using a validated biology HOTS instrument. The findings indicate a strong positive …

Design And Evaluation Of A Code-Switching-Aware Multilingual Conversational Ai System Using Advanced Rag Architectures, Ashutosh Juvale

Master’s Dissertations

Conversational artificial intelligence has become the primary interface through which hundreds of millions of users in India seek information and customer support. Yet the way these users actually write and speak is fundamentally at odds with the monolingual assumptions baked into most retrieval and generation systems: they code-switch, fluidly mixing one or more of the twenty-two scheduled languages of India with English, frequently typing Indic words in the Roman script ("mera refund kab tak aayega"). Standard Retrieval-Augmented Generation (RAG) pipelines silently fail on such input — the retriever returns off-topic passages because the query and the knowledge base live in …

Optimistic And Ambivalent Attitudes Toward Clinical Artificial Intelligence, Sevi̇l Uygun İli̇khan, Si̇nem Ülke, Mahmut Özer, Matjaž Perc, Yavuz Ayhan

Turkish Journal of Medical Sciences

Background/aim: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, healthcare professionals’ knowledge, attitudes, and perceptions regarding AI remain insufficiently understood. This study aimed to evaluate healthcare professionals’ perceptions of AI in clinical practice.

Materials and methods: This descriptive cross-sectional study included 260 healthcare professionals, including physicians, nurses, and healthcare technicians working at a tertiary public hospital in Türkiye. Participants completed the Healthcare Professionals and Artificial Intelligence Questionnaire, which assessed demographic characteristics, AI knowledge, workplace AI use, attitudes toward AI applications, ethical and legal concerns, perceived professional impact, and educational needs.

Results: Most participants reported limited AI knowledge; …

Applications Of Ai For Real-Time Mechanical Behavior Prediction In Deep Excavation Support Systems: A Critical Review, Ngoc-Tuyen Tran, Quang Dung Tran, Hong-Lam Dang, Duc Phi Do

CIB Conferences

Progressive deformation in deep urban excavations can trigger catastrophic collapse before conventional monitoring and finite element method (FEM) back-analyses can effectively respond, primarily due to observational and computational latency. This paper presents a PRISMA-adapted review of 20 peer-reviewed studies (2021–2025) investigating artificial intelligence (AI) frameworks for real-time mechanical behavior prediction in deep excavation support systems. Two methodological streams are examined: data-driven models (LSTM, Transformers, ST-GAT) and physics-informed approaches (DeepONet, MS-SDL). By mathematically constraining deep learning within governing partial differential equations, these physics-informed models reduce the Root Mean Square Error (RMSE) of wall deflection predictions by 40–60% relative to standalone three-dimensional …

Into The Unknown: Ai Adoption And Job Satisfaction Of Christian Faculty, Hailey A. Manicone, Roger B. Bingham, Ireremena E. Felixotuorimuo, Linnaya M. Graf, Rachel A. Joseph, Erica Danielle Moore, Joshua E. Wilson

Journal for the Scholarship of Teaching & Learning

The purpose of this study was to capture the lived experiences of faculty members at Christian higher education institutions regarding the impact of artificial intelligence (AI) on faculty job satisfaction. The study addressed two primary research questions: (1) What are the perceptions of Christian higher education faculty regarding expectations related to their use of AI in teaching? (2) How do these perceptions influence their job satisfaction? A transcendental phenomenological approach was used to gather data from six participants from a faith-based institution in the southeastern United States through individual interviews, focus groups, and journal prompts. Analysis followed Moustakas’ (1994) four-step …

Residential Ai Data Centers: Security, Privacy, And Governance Concerns, Alan Saquella

Publications

The concept of placing mini data centers and distributed AI computer nodes inside residential homes may appear innovative from an energy efficiency perspective, but it introduces significant security, privacy, governance, and liability concerns. What is effectively occurring is the expansion of commercial and potentially critical infrastructure into lightly protected residential environments.

Once a residence becomes part of a distributed computer grid supporting hyper-scalers, AI providers, or enterprise workloads, the home is no longer simply a private residence. It becomes a commercial technology asset, a potential cyber target, and even a physical target. A distributed network of thousands of residential nodes …

A Comprehensive Survey Of Artificial Intelligence Applications In Predicting Mining-Induced Subsidence, Deformation, And Landslides: Strengths, Limitations, And Future Trends, Long Quoc Nguyen, Dung Ba Nguyen, Minh Tuyet Dang

Journal of Sustainable Mining

Mining activities often cause mining-induced ground deformation, including subsidence and landslides, and related geo-environmental impacts, posing significant risks to infrastructure and safety. This study conducts a systematic assessment to identify, categorize, and evaluate AI-based methods (machine learning, deep learning, and hybrid models) for predicting and monitoring mining-induced ground deformation. The literature search was performed across major scientific databases, using predefined keywords and selection criteria, resulting in a final dataset of relevant peer-reviewed studies. The reviewed works were classified into three methodological groups: traditional machine learning, deep learning-based approaches, and hybrid methods. The results show that ML still dominates in terms …

An Exploration Of The Intersection Of Artificial Intelligence And Speech-Language Pathology -- Potential Impacts, Manish K. Rami

Internet Journal of Allied Health Sciences and Practice

Purpose: This paper explores the potential impact of Artificial Intelligence (AI) on the profession of Speech-Language Pathology (SLP). AI is widely recognized as a transformative force, presenting opportunities across both service delivery and professional practice in SLP. Method: The analysis employs the American Speech-Language-Hearing Association's  Scope of Practice in Speech-Language Pathology as an organizing framework to systematically evaluate AI applications across professional and service delivery domains. Within each domain, the study identifies emerging use cases, evaluates the capacity for AI technologies to automate or augment clinical processes, and examines broader implications for the profession, with particular attention to anticipated changes …

Emotional Support Through Ai: Venting To Artificial Intelligence Or A Perceived Human May Offer Comparable Emotional Well-Being Benefits, Meilan Hu, Jerlyn Q. H. Ho, Claire Ng, Shermaine S. M. Wong, Andree Hartanto

Research Collection School of Social Sciences

Artificial Intelligence (AI) chatbots are increasingly being explored as sources of informal emotional support, with emerging evidence suggesting that venting to these systems can reduce negative affect. Yet, it remains unclear whether such benefits depend on the responder's perceived identity. Given that emotional relief from venting often hinges on perceived authenticity and emotional validation, this study investigates whether the emotional well-being benefits of venting differ when users believe they are interacting with an AI chatbot versus a human, even when responses are content-matched. In a pre-registered experiment ( N = 279), participants were randomly assigned to either an AI-assisted venting …

Patent Analyses And Technology Forecasting: Advances Into Artificial Intelligence Technologies, Sarah Over, Emma Jiren Wang, M. Shehryar Khan

Journal of the Patent and Trademark Resource Center Association

For several decades, patents have been utilized in analyzing technology and forecasting future trends. Historically, this has been done via keywords, citations, and some bibliometric approaches. The efficiency that is promised by artificial intelligence (AI), machine learning, natural language processing, and related technologies has also heavily entered the domain of intellectual property. There is a growing body of research that is using AI technologies to analyze, learn, and make predictions for patents. Some of the most common applications in practice are those that assist searchers and examiners in review of patents. Journals such as World Patent Information have even developed …