Digital Commons Network^™

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

Code And Prejudice: Regulating Discriminatory Algorithms, Bernadette M. Coyle

Washington and Lee Law Review Online

In an era dominated by efficiency-driven technology, algorithms have seamlessly integrated into every facet of daily life, wielding significant influence over decisions that impact individuals and society at large. Algorithms are deliberately portrayed as impartial and automated in order to maintain their legitimacy. However, this illusion crumbles under scrutiny, revealing the inherent biases and discriminatory tendencies embedded in ostensibly unbiased algorithms. This Note delves into the pervasive issues of discriminatory algorithms, focusing on three key areas of life opportunities: housing, employment, and voting rights. This Note systematically addresses the multifaceted issues arising from discriminatory algorithms, showcasing real-world instances of algorithmic …

Artificial Intelligence And Transformative Use After Warhol, Gary Myers

Washington and Lee Law Review Online

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of …

Ai Love, Hannah R. Turner

Critical Humanities

Hannah Turner is an Appalachian poet who often writes of personal insecurities, self-discovery, and ascension beyond the ordinary. Hannah enjoys incorporating conversations of worldly phenomenon into her poems. There is much beauty all around us. As poetry enables a writer to communicate the beauty that underlies even the greatest misfortunes, Hannah has identified the medium of expression as being opportunistic for a lyrical delivery while making mention of emotional human encounters. She is a B.S./Ph.D. Biomedical Research student at Marshall University in Huntington, WV, and a native of Matewan, WV. She draws support from both living and passed family members, …

Llms And Crisis Epistemology: The Business Of Making Old Crises Seem New, Mich Ciurria

Critical Humanities

Large Language Models (LLMs) like ChatGPT have set in motion a series of crises. These include disruptions to the labor force, education, and democracy. Some people believe that rich technocratic ‘saviors’ should solve these crises. Naomi Klein, however, argues that this is a neoliberal fantasy. Tech CEOs will not solve AI-related crises because they have a vested interest in perpetuating disaster capitalism and the social inequalities that keep wages low. Who, then, can solve the AI crisis? I submit that the answer is: oppressed groups with experiential and intergenerational knowledge of crises. To oppressed folks, technological crises are not new, …

With Great Power Comes Great Responsibility: Ai And Its Future In Medical Education, Faruq Pradhan, Prasanth Ravipati, Zachary P. Slocum

Graduate Medical Education Research Journal

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The Present And Future Of Ai Usage In The Banking And Financial Decision-Making Processes Within The Developing Indian Economy, Dr. Shouvik Kumar Guha, Bash Savage-Mansary, Dr. Navyajyoti Samanta

Indian Journal of Law and Technology

In course of this paper, the authors have soght to examine the extent to which technology based on artificial intelligence (AI) have made inroads into the banking and financial sectors of a developing economy like India. The paper begins with providing a contextual background to the adoption of such technology in the global financial arena. It then proceeds to identify and categorise the forms of AI currently being used in the Indian financial sector and also considers the different channels of operation where such technology is in vogue. The advantages of using such technology and the future goals for integrating …

Our Community Chimes In, Corinne Bishop

Journal of Graduate Librarianship

Welcome! The Journal of Graduate Librarianship’s Practitioner Panel allows us to hear directly from the graduate librarian community via social media, where we regularly post questions and invite your comments on practical issues relating to graduate librarianship. To join the conversation and share your comments about community topics, please follow us on Facebook, Instagram, Threads, or X (formerly Twitter)—or keep an eye on the JGL website, where we also post all Practitioner Panel questions.

Indexes: The Heart Of Research, Laura M. Ladwig, Jamey M. Wilkes, Lori Thornton, Sarah Wessel

The Christian Librarian

This article, originally a presentation at ACL’s 2023 conference, will delineate the enduring value of indexes for librarians and researchers alike, giving some examples of how indexes have evolved in a technology-driven age.

Advancing Winter Weather Adas: Tire Track Identification And Road Snow Coverage Estimation Using Deep Learning And Sensor Integration, Parth Kadav

Masters Theses

No abstract provided.

Demystifying Artificial Intelligence (Ai) For Early Childhood And Elementary Education: A Case Study Of Perceptions Of Ai Of State Of Missouri Educators, Kathryn Arnone, James Hutson, Karen Woodruff

Faculty Scholarship

Artificial intelligence (AI) and its impact on society have received a great deal of attention in the past five years since the first Stanford AI100 report. AI already globally impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. However, with regard to education, adopting in disciplines remains limited largely to Computer Science and Information Technology in postsecondary education. Recent advances with technology are especially promising for their potential to create and scale personalized learning for students, to optimize strategies for learning outcomes, and to increase access to …

Trademarks In An Algorithmic World, Christine Haight Farley

Washington Law Review

According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their …

Ai Assisted Workflows For Computational Electromagnetics And Antenna Design, Oameed Noakoasteen

Electrical and Computer Engineering ETDs

These days large volumes of data can be recorded and manipulated with relative ease. If valuable information can be extracted from them, these vast amounts of data can be a rich resource not just for the digital economy but also for scientific discovery and development of technology. When it comes to deriving valuable information from data, Machine Learning (ML) emerges as the key solution. To unlock the potential benefits of ML to science and technology, extensive research is needed to explore what algorithms are suitable and how they can be applied.

To shine light on various ways that ML can …

Enhancing Facial Emotion Recognition With A Modified Deep Convolutional Neural Network, Samah Gamel, Hatem Khater

Journal of Engineering Research

Understanding and predicting human character traits play a crucial role in various domains ranging from psychology to human resources. With the advent of artificial intelligence (AI) and deep learning algorithms, researchers have explored the potential of analyzing facial images to predict human character traits accurately. In this paper, we present a comprehensive study of the application of AI techniques for human character recognition. We review the existing literature on facial image analysis, AI algorithms, and personality prediction. Furthermore, we propose a methodology that leverages deep learning and convolutional neural networks (CNNs) to extract meaningful features from facial images. Our experiments …

Enhancing Facial Emotion Recognition With A Modified Deep Convolutional Neural Network, Samah Gamel, Hatem Khater

Journal of Engineering Research

Understanding and predicting human character traits play a crucial role in various domains ranging from psychology to human resources. With the advent of artificial intelligence (AI) and deep learning algorithms, researchers have explored the potential of analyzing facial images to predict human character traits accurately. In this paper, we present a comprehensive study of the application of AI techniques for human character recognition. We review the existing literature on facial image analysis, AI algorithms, and personality prediction. Furthermore, we propose a methodology that leverages deep learning and convolutional neural networks (CNNs) to extract meaningful features from facial images. Our experiments …

Headwinds And Tailwinds: The Present And Future Of Work For Women, Molly Kinder

Brookings Scholar Lecture Series

As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled "Headwinds and Tailwinds: The Present and Future of Work for Women” by Brookings fellow in the Brookings Metro, Molly Kinder. Women comprise nearly half of the US labor force, and today outnumber men on college campuses. Yet the gender pay gap persists and women are overrepresented in the lowest paying occupations. In what ways are jobs and economic opportunities changing for women in the labor force? Over the next decade, how will demographic changes like the aging of the baby boom generation and technological changes …

What Are The Ethics Of Ai In Relation To The Nasw Code Of Ethics?, Lea Saga

AI Assignment Library

The use of Artificial intelligence (AI) in the social work profession is an emerging area of practice. AI promises to revolutionize the way we work by using computer systems to perform tasks that typically require human intelligence, such as learning from experience, reasoning, problem-solving and understanding natural language. The use of AI has raised questions about how to harness its benefits, mitigate its risks, and ensure it aligns with the values and standards in the NASW Code of Ethics. What are the ethics of AI, including issues related to informed consent; managing risks and benefits; and ensuring that AI respects …

Novus Ex Machina: Realise Your Organisation’S Creative Potential With Ai, Adam Tatarynowicz, Utz Claassen

Asian Management Insights

Innovation managers must learn how to harness AI’s transformative potential.

Multimodal Ai For Prediction Of Distant Metastasis In Carcinoma Patients, Isaac Olatunji

Theses

Metastasis of cancer is directly related to death in almost all cases, however a lot is yet to be understood about this process. Despite advancements in the available radiological investigation techniques, not all cases of Distant Metastasis (DM) are diagnosed at initial clinical presentation. Also, there are currently no standard biomarkers of metastasis. Early, accurate diagnosis of DM is however crucial for clinical decision making, and planning of appropriate management strategies. Previous works have achieved little success in attempts to predict DM from either clinical, genomic, radiology, or histopathology data. In this work we attempt a multimodal approach to predict …

The Ideal Approach To Artificial Intelligence Legislation: A Combination Of The United States And European Union, Dane Chapman

University of Miami Law Review

The evolution of Artificial Intelligence (“A.I.”) from a speculative concept depicted in science fiction to its integration into various aspects of everyday life has brought about complex challenges for contemporary legislators. The proliferation of A.I. technology has led to a growing recognition of the need for regulation, as it poses both promises and threats to society. On the one hand, A.I. has the potential to enhance efficiency in various fields, such as medicine and automation of routine tasks. On the other hand, if left unregulated, A.I. has the potential to undermine democratic principles and infringe upon fundamental rights. Thus, legislators …

Ai And National Security: The United States Risks Losing Its Competitive Edge, Royce Morris

Liberty University Journal of Statesmanship & Public Policy

Recent developments in artificial intelligence (AI) have caused concern over the ethical implications of large-scale AI implementation. As a result, leading technologists and computer scientists have advocated an incremental rather than comprehensive approach to AI development and implementation to allow ethical and structural guidelines to provide a public safety net. However, such an approach does not account for the geopolitical and national security implications of lagging behind competitors like China, who have publicly stated goals of reaching AI supremacy within the next ten years. This article presents a national security analysis of the risks to American national security by allowing …

Beyond Chatgpt: Using Its Stem To Support Librarians, Juan Denzer

Upstate New York Science Librarians Conference

Librarians have long utilized technology to enhance productivity and information sharing. However, the pace of adopting new technologies in libraries has been limited by factors such as funding constraints, privacy concerns, and a non-profit focus. This proposal aims to explore the transformative potential of advanced AI tools, specifically large language models (LLMs), in the field of librarianship. While natural language tools like ChatGPT and Google's Bard have garnered attention, misconceptions and fears surrounding academic integrity and negative media coverage have hindered the broader acceptance of these AI advancements. Paradoxically, many existing tools in libraries, such as translation services and customer …

Ai As A License Review Assistant, Nat Gustafson-Sundell

Library Services Publications

I will present the steps we have taken to develop a prototype AI assistant for license review. I’ll explain our criteria for the selection of an AI tool for this project. We reviewed ChatGPT, Claude 2, Bard, and PDF readers. My goal was to develop an initial prototype in a Jupyter Notebook environment so I could easily re-load context information, including a license checklist, but I’ll explain why I revised this goal, instead to linger over license review interactions with ChatBots. I’ll discuss early results, demonstrate example license review interactions, and outline my next steps.

Giving Up Control: Hybrid Ai-Augmented Workflows For Image-Making, Joshua Vermillion

Tradition Innovations in Arts, Design, and Media Higher Education

This paper argues that if we are to come to creative terms with AI image-making then we must critically interrogate these new tools in the production of creative works. In doing so, designers can start to chart new creative workflows that integrate AI for image-making while augmenting and then evolving our current ways of designing. Workflows are shown that relate to how AI models can augment human creativity in hybrid (human and AI) creative endeavors while taking advantage of the affordances of these technologies.

Ai Tools For Summarizing Research Articles: Transforming Information Access, Gary S. Atwood

University Libraries Faculty and Staff Publications

No abstract provided.

Revolutionising Engineering Education: Creating Photorealistic Virtual Human Lecturers Using Artificial Intelligence And Computer Generated Images, Johannes H Moolman, Fiona Boyle, Joseph Walsh

Research Papers

The COVID-19 pandemic has disrupted traditional classroom learning, making virtual and remote education increasingly important. In this context, the use of photorealistic virtual humans, or avatars, powered by Artificial Intelligence (AI) can offer an immersive and engaging environment for delivering traditional classroom-based lectures. This paper proposes a process that combines AI and Computer-Generated Images (CGI) to create photorealistic virtual human lecturers for educational purposes.

The proposed process flow involves generating audio from text inputs, which is passed to a 3-Dimensional (3D) facial animation rig that matches lip, tongue, eye and facial movements to the audio using AI. This generates a …

Comment Letter On Sec’S Proposed Rule On Conflicts Of Interest Associated With The Use Of Predictive Data Analytics By Broker-Dealers And Investment Advisers, File Number S7-12-23, Sergio Alberto Gramitto Ricci, Christina M. Sautter

Faculty Works

This comment letter responds to the Securities and Exchange Commission’s proposed rule Release Nos. 34-97990; IA-6353; File Number S7-12-23 - Conflicts of Interest Associated with the Use of Predictive Data Analytics by Broker-Dealers and Investment Advisers. Our comments draw on our scholarship relating to laypersons’ participation in securities markets and the corporate sector as well as on the role of technology in corporate governance.

We express concerns that the SEC’s proposed regulation undermines individuals’ ability to access capital markets in an efficient and cost-effective manner. In the era of excessive concentration of equities ownership and power, often with negative societal …

Perceptions And Experiences Of Artificial Intelligence (Ai) Use In Libraries: A Study Of Library Users In Pakistan, Maqsood A. Shaheen, Amna Khurshid

Library Philosophy and Practice (e-journal)

This study sought to understand library users' opinions, attitudes, and needs regarding using artificial intelligence (AI) in libraries. A survey questionnaire was administered to 71 respondents from academic and public libraries throughout the region. This survey examined a range of topics related to AI use in libraries, such as its perceived benefits and drawbacks; ethical and privacy considerations; user demographics; and factors influencing user adoption of and satisfaction with AI-powered services. The survey results revealed a generally positive attitude toward AI use in libraries. However, concerns were raised regarding such decisions' privacy and ethical ramifications. Libraries must consider user needs …

Integrating Human Expert Knowledge With Openai And Chatgpt: A Secure And Privacy-Enabled Knowledge Acquisition Approach, Ben Phillips

College of Engineering Summer Undergraduate Research Program

Advanced Large Language Models (LLMs) struggle to produce accurate results and preserve user privacy for use cases involving domain-specific knowledge. A privacy-preserving approach for leveraging LLM capabilities on domain-specific knowledge could greatly expand the use cases of LLMs in a variety of disciplines and industries. This project explores a method for acquiring domain-specific knowledge for use with GPT3 while protecting sensitive user information with ML-based text-sanitization.

Ai For Search And Rescue - Locating A Missing Person, David Hernandez, Sai Rama Balakrishnan, Timmy Chin, Aditya Manikonda, Vasanth Pugalenthi

College of Engineering Summer Undergraduate Research Program

Building on the work done initially as a SURP 2021 project and continued through 2021-23, the focus for this summer project will be on the use of computer technology for locating a missing person. Over the last year, we developed the digital equivalents of about 30 paper-based S&R forms and the infrastructure to collect the respective information. In their current use, these paper forms are filled out by search teams, collected in a command post, and reviewed by search coordinators. This process is time-consuming, prone to errors and loss of information, and relies heavily on the experience, skills, and mental …