Digital Commons Network^™

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

Ai Warfare And The Law, Bill Boothby

International Law Studies

AI Warfare and the Law, published as a full volume of International Law Studies, analyzes the legal implications of the introduction of AI technologies into the design of weapon systems and the potential use of AI in connection with military activities. It considers several discrete but related bodies of international law as well as significant aspects of domestic and human rights law. Its key aim is to work out how the law will impact the use of AI technologies and what AI technologies must be able to do if they are to satisfy legal requirements. A further purpose …

Early Detection Of Cardiovascular Disease Utilizing Machine Learning Techniques: Evaluating The Predictive Capabilities Of Seven Algorithms, Maad M. Mijwil, Alaa K. Faieq, Mohammad Aljanabi

Iraqi Journal for Computer Science and Mathematics

Heart disease is the leading cause of death indeveloped countries, as it causes many deaths annually. Despite the availability of effective treatments, heartdisease remains a significant challenge to public health, so early detection is essential in enhancing patient outcomesand reducing mortality.Artificial intelligence seeks to help physicians make the right decisions about a patient's health condition. In this regard, the authors decided to utilize machine learning techniques (k-nearest neighbor, decision tree, linear regression, support vector machine, naïve bayes, multilayer perceptron, random forest) to contribute to the classification of the heart disease dataset, where it is determined whether a person is suffering …

Novel Techniques In Imaging Congenital Heart Disease: Jacc Scientific Statement, Ritu Sachdeva, Aimee K Armstrong, Rima Arnaout, Lars Grosse-Wortmann, B Kelly Han, Luc Mertens, Ryan A Moore, Laura J Olivieri, Anitha Parthiban, Andrew J Powell

Faculty, Staff and Students Publications

Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical and catheter-based procedures are evolving to address the needs of a growing congenital heart disease population. This state-of-the-art review presents advances in echocardiography, cardiac magnetic resonance, cardiac computed tomography, invasive angiography, 3-dimensional modeling, and digital twin technology. The paper also highlights the integration of artificial intelligence with imaging technology. While some techniques are in their infancy and need further refinement, others have found their way into clinical workflow …

Pre-Calculus: Thinking Deeply About Simple Things, Jacob Carter

Graduate Research Showcase

“Pre-Calculus: Thinking Deeply About Simple Things” is a research-based creative endeavor focused on designing a high-school pre-calculus course. This course aims to foster deep, meaningful thinking, as well as an appreciation of the values of diversity, equity, and inclusion in the math classroom. The course leverages students’ funds of knowledge to employ culturally responsive teaching methods to connect mathematical concepts to the students’ backgrounds, interests, and real-life situations. This course also integrates social-emotional learning to create an engaging and supportive learning environment for all students. By combining Peter Liljedahl’s “Building Thinking Classroom in Mathematics” approach with problem-based learning, the course …

Creative Technologies: A Conversation With Roy Magnuson, Roy Magnuson, Maureen Russell

Faculty Publications - Music

[In lieu of an abstract, the introduction is provided.] Today I am speaking with Roy Magnuson, Associate Professor Creative Technologies in the School of Music at Illinois State University (ISU). (see Figure 1) His music has been performed throughout the United States and Europe at venues such as the World Saxophone Congress, WASBE, CBDNA, the RED NOTE New Music Festival, and the Robb Composers’ Symposium. Magnuson is also the creator of the virtual reality composition software solsticeVR and the conducting software RibbonsVR. He is a member of ASCAP, and his music is recorded on Albany Records and NAXOS.

Explainable Ai For 6g Use Cases: Technical Aspects And Research Challenges, Shen Wang, M. Atif Qureshi, Luis Miralles-Pechu{\'A}N, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage

Articles

Around 2020, 5G began its commercialization journey, and discussions about the next-generation networks (such as 6G) emerged. Researchers predict that 6G networks will have higher bandwidth, coverage, reliability, energy efficiency, and lower latency, and will be an integrated “human-centric” network system powered by artificial intelligence (AI). This 6G network will lead to many real-time automated decisions, ranging from network resource allocation to collision avoidance for self-driving cars. However, there is a risk of losing control over decision-making due to the high-speed, data-intensive AI decision-making that may go beyond designers’ and users’ comprehension. To mitigate this risk, explainable AI (XAI) methods …

Crafting Effective Prompts: Leveraging Generative Ai In Libraries, April Sheppard, Kristin Flachsbart

Staff and Faculty Scholarship

Discover how strategic prompt design can help you harness the power of generative artificial intelligence (AI) in your library. Through a series of examples, the presenters will demonstrate the impact that well-crafted prompts can have on the quality and relevance of AI-generated outputs.

Developing Policies For The Ethical Use Of Artificial Intelligence In Higher Education And Libraries, April Sheppard, Matthew Mayton

Staff and Faculty Scholarship

This presentation will provide sample artificial intelligence policy language from various higher education institutions and academic libraries. Topics covered will include the acceptable use of AI in the classroom, the role of faculty in making AI-related decisions, syllabus statements, AI use and detection, AI literacy, and library policies regarding AI. Participants will be able to compare and contrast policies to help them develop their own policies that work for their unique organization.

The Measure Of Efficiency And Effectiveness When Using Artificial Intelligence (Ai) In Radiology, Jordan Watts

Theses, Dissertations and Capstones

Introduction: The use of artificial intelligence in radiology has helped radiologists identify patterns and abnormalities in medical images to diagnose and treat patients. Deep learning and machine learning algorithms have been used to assist physicians in detecting features that are not noticeable to the human eye. The FDA has approved almost 400 AI algorithms for radiology and estimated that the market for AI in medical imaging would grow from $21.48 billion in 2018 to $264.85 billion in 2028.

Purpose of the Study: The purpose of this research was to evaluate the use of artificial intelligence in radiology to determine its …

Where’S My Teacher? Factors Influencing Teacher Retention/Attrition In A Post-Covid Landscape, Kyle Robinson

CGU Theses & Dissertations

The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new, unanticipated stressors such as COVID-19 safety protocols, shifts in student behavior, and pronounced learning gaps from virtual instruction. Coupled with existing tensions, many educators who had previously identified as career teachers became “likely pandemic leavers” as they departed the profession (Steiner, 2021). While there is ample research …

A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu

Information Technology & Decision Sciences Faculty Publications

The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest …

A Smart Energy-Efficient Hybrid Gait Monitoring System, Elsa Joy Harris

CGU Theses & Dissertations

Triboelectric nanogenerators are devices that harvest mechanical energy from the environment and turn it into electricity. By coupling the effect of contact electrification and electrostatic induction between two materials that come into contact and then separate they can convert the irregular, low frequency, waste biomechanical energy of human motion into useful electrical energy to run small body-worn electronics. This has shown promising results in multiple applications such as self-powered motion and haptic sensing, self-charging micro-storage devices, neuromorphic computing, and designing batteryless circuits to power small wearables. This work will investigate a smart energy-efficient hybrid gait monitoring system that is powered …

Reinforcement Learning For Optimal Kicking Actions In Humanoid Robotics: Advancing Robotic Autonomy And Versatility, Suresh Dodda, Sathish Kumar Chintala, Sukender Reddy Mallreddy, Sharath Chandra Macha, Yashwanth Vasa, Sapan Bharadwaj Bonala, Navin Kamuni, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Acquiring the necessary skills to perform a work effectively and efficiently requires a significant investment of time and computing power. Previous applications of Reinforcement Learning (RL) for action optimization in humanoid robotics have shown how promising this technology is for moving robotics towards true autonomy and versatility. Therefore, this study offers the first use of RL to create an entirely optimal kicking action for the Alderbaran Nao robot. Kicking motions that were steady, precise, quick, and able to kick farther than any existing RoboCup squad were generated by optimizing for a multi-objective reward function. We demonstrate that the ideal kicking …

Fairness Perceptions Of Artificial Intelligence: A Review And Path Forward, Devesh Narayanan, Mahak Nagpal, Jack Mcguire, Shane Schweitzer, David De Cremer

Research Collection Lee Kong Chian School Of Business

A key insight from research on organizational justice is that fairness is in the eye of the beholder. With increasing discussions–especially among computer scientists and policymakers–about the potential biases and unfairness of decisions made by Artificial Intelligence (AI) systems, there is a critical need to consider how decision-subjects perceive the fairness of AI-led decision-making. Drawing upon theoretical and empirical perspectives on perceived fairness in organizational justice scholarship, this review categorizes and analyzes perceptions of AI fairness as they impact the effective implementation of AI in workplaces and beyond. Specifically, we review existing empirical research on AI fairness according to distinct …

Exploring Hedonic And Utilitarian Aspects Through Perceived Warmth In Human-Designed Vs. Ai-Generated Fashion, Dooyoung Choi, Ha Kyung Lee

Educational Leadership & Workforce Development Faculty Publications

Among various ways in which artificial intelligence (AI) is used in the fashion industry, its utilization in design has sparked public discussion about the potential replacement of human designers by AI. Along with this critical question, it is imminent to examine how consumers would respond to designs by AI. The purpose of this study is to explore consumers’ perceptions toward a fashion product labeled as generated by an AI system, comparing it to the same product labeled as designed by a human designer. Specifically, drawing from existing literature, we examine if the design source affects consumers’ perceptions of a product …

Infusing Machine Learning And Computational Linguistics Into Clinical Notes, Funke V. Alabi, Onyeka Omose, Omotomilola Jegede

Mathematics & Statistics Faculty Publications

Entering free-form text notes into Electronic Health Records (EHR) systems takes a lot of time from clinicians. A large portion of this paper work is viewed as a burden, which cuts into the amount of time doctors spend with patients and increases the risk of burnout. We will see how machine learning and computational linguistics can be infused in the processing of taking clinical notes. We are presenting a new language modeling task that predicts the content of notes conditioned on historical data from a patient's medical record, such as patient demographics, lab results, medications, and previous notes, with the …

Confronting Ai-Induced Power Disparity And Emotional Disruption: Expansive Duties Of Broker-Dealers And Investment Advisers, Shuping Li, Wei Shen

Northwestern Journal of International Law & Business

The increasing use of AI models in investment services has raised concerns about ineffective responses, power disparity, and investor harm caused by emotional disruption. Generative AI-driven investment service providers often fail to address consumer issues quickly, guiding customers through superfluous and meaningless verbiage or professional terminology in infinite loops without providing an option to talk with a human customer service staff. Customers who are “stuck” in ineffective or inaccurate responses from AI agents may waste time for investors, make poor investment or trading decisions, and the platform may profit from investor rational decision-making owing to investors’ emotional disruption.

This article …

33. Chatgpt Assistance In Creating Chemistry Practice Problems: Pitfalls, Positives, And Possibilities, Michael A. Christiansen

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

ChatGPT, a relatively new Large Language Model (LLM) artificial intelligence (Al) chatbot, has gained significant attention as the most downloaded software app, accruing over 100 million users within two months of its release. This software can generate quick, articulate responses to virtually any textual query. Many educators are concerned about its potential for enabling student cheating. However, it currently suffers significant limitations in solving chemistry problems-documented through peer-reviewed articles and from the author's experience suggesting that chemistry students will perform far better, on average, by studying than by relying on ChatGPT. This is particularly true of math-centric problems, which the …

22. Examining Ways Of Using Ai To Better Support Teaching Faculty, Mitigate Burnout, And Increase Teaching Creativity, Jennifer Grewe

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Faculty burnout is a concern within academics particularly for the most student-centered teaching faculty. In attempts to support students, faculty can sometimes do so at the expense of their own time and energy that over time can become overwhelming. There exist many concerns within academia on the use of Al and yet this is a tool that could be helpful to teaching loads if utilized properly. This chapter explores ways in which Al might help alleviate some of the workload that teaching faculty experience, which is a start to addressing burnout issues. Ideas are shared in this chapter surrounding Al's …

17. Epistemological Clash: Ai And Ways Of Knowing, Emma Mecham

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

AI highlights important epistemological debates, particularly for Indigenous communities

9. Uses, Benefits, And Limitations Of Ai Chatbots: Implementing Chatgpt In The First-Year Writing Classroom, Walker Smith, Cora Alward, Jacob Morris, Lydia Peach, Veronica Pulley, Parker Routt, Kolby Sanders, Josh Vogeler

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This essay shares the findings of a Spring 2023 honors composition course in which students conducted their own primary research project to investigate the uses and limitations of ChatGPT for first-year writers. By experimenting with integrating ChatGPT into various stages of their writing and revision processes, the students identified the strengths and weaknesses of the writing tool. Then, they observed and interviewed faculty as they graded different versions of essay drafts with varying levels of ChatGPT assistance. Ultimately, they found that ChatGPT was incredibly useful for certain small-scale tasks, but posed significant risks, especially for students with less experience in …

Artificial Intelligence And News Consumption: A Study Of Trust, Credibility And Transparency In Automated Journalism, Julia Lobo Paes

Dissertations and Theses

According to Gallup poll (2023), over the last 50 years there has been a decline in how much Americans trust mass media. While in the 1970’s 72% of the population responded that they trust the media a 'great deal/fair amount', this number dropped to 34% in 2023. Given the decreasing public trust in news, this thesis focused particularly on analyzing trust in the organization, trust in the news story and perceived credibility in AI generative content. In addition to articles created by AI, this study also aimed to analyze how the public perceives information that has been personalized and distributed …

A Combinatory Approach To Understanding The Relationship Between Artificial Intelligence And Financial Labour Markets, Michael Samers, Yujia He

Geography Faculty Publications

This paper provides a critical conceptualization of the relationship between artificial intelligence and financial labour markets in the United States. In doing so, we ask first, what are the characteristics of ‘actually existing AI’ in the financial sector? Second, what are the various ways in which the relationship between AI and its effects on financial labour or employment over approximately the last decade are approached theoretically, conceptually, or methodologically? Third, what are the (spatial) consequences of AI for financial labour markets in the United States? In responding to these questions, we develop a combinatory approach that integrates a ‘financial ecologies’ …

Utilizing Text-Generative Ai For Creating Oral Reading Fluency Probes, Mackenzie D. Sidwell, Landon W. Bonner, Kayla Bates-Brantley, Shengtian Wu

Faculty Publications – Psychology

Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative AI like ChatGPT to create oral reading fluency probes. The purpose of this article is to describe how to use AI through ChatGPT to create customizable reading passages comparable with that of oral reading fluency probes. Using readability estimates, the ChatGPT-generated passages can be tailored to suit for specific grade levels, similar to how current publishers design oral reading fluency probes for the market. The …

Revolutionizing Campus Communication: Nlp-Powered University Chatbots, Ritu Ramakrishnan, Priyanka Thangamuthu, Austin Nguyen, Jinzhu Gao

Pacific Faculty Work

Artificial intelligence (AI) based chatbots leverage programmed software instructions to simulate human speech and user interaction. These versatile tools can be employed in various domains, from managing smart home devices to providing personal virtual assistants. They can also be useful in responding to common queries and can make information easier to access. In response to this need, we developed a specialized chatbot tailored for the academic environment by training an NLP model to answer frequently asked questions (FAQs) the need of searching through the university website. The main goal is to optimize user engagement and streamline information retrieval within a …

Implementation Of Technological Innovations: An Identification And Examination Of Opinion Leaders And Advice Networks In Primary Care, Alan Kunz Lomelin

Social Work Dissertations - Archive

Technological innovations, such as artificial intelligence, have the potential to mitigate health disparities in healthcare, but lower uptake of these innovations in low resource healthcare settings, due to limited resources and staff shortages, may lead to missed opportunities. However, low-cost implementation strategies may facilitate the uptake of these innovations and increase their accessibility and adoption in this setting. The Network Model of Diffusion of Innovations suggests the identification of opinion leaders and the study of advice networks as strategies that may help enhance the uptake of innovations. Specifically, this framework suggests the use of a sociometric or network approach to …

When Brain Meets Artificial Intelligence, Lu Zhang

Computer Science and Engineering Dissertations - Archive

When we review the history of development of artificial intelligence (AI), we will find that brain science plays a pivotal role in fostering breakthroughs in AI, such as artificial neural networks (ANNs). Today, AI has made remarkable strides, particularly with the emergence of large language models (LLMs), surpassing expectations and achieving human-level performance in certain tasks. Nonetheless, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI, promoting their mutual enhancement and collaborations. This involve establishing connections from brain science to AI (brain-inspired AI), and reversely, from AI to …

Embracing Ai In English Composition: Insights And Innovations In Hybrid Pedagogical Practices, James Hutson, Daniel Plate, Kadence Berry

Faculty Scholarship

In the rapidly evolving landscape of English composition education, the integration of AI writing tools like ChatGPT and Claude 2.0 has marked a significant shift in pedagogical practices. A mixed-method study conducted in Fall 2023 across three sections, including one English Composition I and two English Composition II courses, provides insightful revelations. The study, comprising 28 student respondents, delved into the impact of AI tools through surveys, analysis of writing artifacts, and a best practices guide developed by an honors student. Initially, the study observed a notable anxiety and mistrust among students regarding the use of AI in writing. However, …

Exploring Tutors’ Readiness To Incorporate Artificial Intelligence In Teaching Practice: A Case Study Of Selected Teachers Training College In Tanzania, Prosper Elirehema Akyoo

Master of Education

College tutors' readiness to incorporate AI in teaching practices was explored in this study in selected teacher-training colleges in Tanzania. The study examined tutors' AI knowledge and experience, readiness variables, current use, and attitudes and perceptions. The study showed how ready college tutors were to use AI in education by addressing these issues.

Tanzania aimed to develop a knowledgeable society by 2025 as outlined in Vision 2025. Teacher Training Colleges play a crucial role in preparing future teachers, yet there is minimal research on tutors' preparedness to integrate artificial intelligence in education (AIED). While AIED holds the potential to enhance …