Technology and Innovation Commons^™

Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces, Austin Cusak

Journal of Cybersecurity Education, Research and Practice

A qualitative case study focused on understanding what steps are needed to prepare the cybersecurity workforces of 2026-2028 to work with and against emerging technologies such as Artificial Intelligence and Machine Learning. Conducted through a workshop held in two parts at a cybersecurity education conference, findings came both from a semi-structured interview with a panel of experts as well as small workgroups of professionals answering seven scenario-based questions. Data was thematically analyzed, with major findings emerging about the need to refocus cybersecurity STEM at the middle school level with problem-based learning, the disconnects between workforce operations and cybersecurity operators, the …

Man Vs. Machine: The Future Of Financial Advising, Rylee Driggs

Finance Undergraduate Honors Theses

This research evaluates the potential impact of artificial intelligence on the financial advising industry, particularly regarding the demand for human financial advisors within the industry as artificial intelligence rapidly evolves. With the recent launch of ChatGPT, a cutting-edge AI chatbot, the role of financial advisors, which previously seemed mostly exempt from any technological alternatives due to the essential emotional intelligence of a human financial advisor, is potentially at risk for replacement. This research provides an in-depth analysis on the feasibility of artificial intelligence replicating necessary humanlike characteristics of a human financial advisor and utilizes results of an anonymous survey where …

Artificial Intelligent Enabled Supply Chains As A Competitive Advantage, Nathan Adato

Senior Honors Theses

The focus of this paper is on the topics of artificial intelligence and supply chain management and how artificial intelligence-enabled supply chains provide organizations with competitive advantages. The supply chain’s adoption of data collection technologies as part of digital transformation and movements of industry 4.0 creates a strong foundation for artificial intelligence analytics. Artificial intelligence has three branches sensing and interacting, decision-making, and learning. Each branch uses its algorithms and serves a different purpose for the business. Artificial intelligence-enabled supply chains create unique, inimitable competitive advantages that fit Michael Porter’s five forces.

Artificial Intelligence For Marketers And Communicators, Garrison Feldman

Emerson Authors, Researchers, & Creators

This presentation explores different technologies within the artificial intelligence space for use by marketers and communicators. Technologies discussed include ChatGPT, DeepAI, Otter.ai, SurferSEO, Jasper, and Synthesia. The focus of this presentation is to go over the different technologies at a high level, and discuss possible use cases for professional marketers and communicators.

Artificial Minds, Lara Bayer

MA Projects

This paper explores the artistic possibilities of artificial intelligence, as well as its ability to act as a creative being through its learned knowledge from the collective consciousness of human beings, whether this learned knowledge can be used by the AI to represent reality, and whether this can be problematic regarding learned biases from the preexisting ones of our own. Looking at the history of how far artificial intelligence has come within the creative artistic realm, examining the technical aspects of how exactly an AI is able to generate original art, and examining four artists that all collaborate with artificially …

Factors Influencing The Adoption Of Smart-Home Appliances: Users' Perspectives, Prakash Shahi

Dissertations

Smart appliances will be a significant part of the annual $300 billion smart-home market by 2025. Their use is expected to grow at a compounded annual growth rate of 31% for the foreseeable future. Currently, 12-16% of households use smart-home products in the U.S., including thermostats, TVs, refrigerators, coffee machines, garage door openers, and vision-equipped doorbells. Smart appliances provide significant benefits to us over traditional appliances. Smart appliances simplify our lives by automating various tasks in our homes and allowing us to monitor and control them remotely from our offices, grocery stores, and wherever we may be.

Despite the usefulness …

Deepfakes Generated By Generative Adversarial Networks, Olympia A. Paul

Honors College Theses

Deep learning is a type of Artificial Intelligence (AI) that mimics the workings of the human brain in processing data such as speech recognition, visual object recognition, object detection, language translation, and making decisions. A Generative adversarial network (GAN) is a special type of deep learning, designed by Goodfellow et al. (2014), which is what we call convolution neural networks (CNN). How a GAN works is that when given a training set, they can generate new data with the same information as the training set, and this is often what we refer to as deep fakes. CNN takes an input …

Artificial Intelligence As Augmenting Automation: Implications For Employment, F. Ted Tschang, Esteve Almirall

Research Collection Lee Kong Chian School Of Business

There has been great concern in recent years that artificial intelligence (AI) may cause widespread unemployment, but proponents say that AI augments existing jobs. Both of these positions have substance, but there is a need is to articulate the mechanisms by which AI may actually do both, and in the process, transform work and business organizations alike. We use economic studies showing past transformations automation wrought on the structure of employment and skills (such as the favouring of nonroutine skills) to articulate a ground for discussion. We then use case evidence of AI and automation to show how AI is …

The Impact Of Artificial Intelligence In The Customer Journey: A Case Study Of Bosch Usa And Defy South Africa, Tariro S. Munyengeterwa

Electronic Theses and Dissertations

Artificial intelligence (AI) continues to gain traction and is increasingly reshaping the media and marketing communications field. While significant research has been conducted on the impact of AI in other fields, there is little empirical evidence on how AI is affecting the customer journey. The present study explored both organizations’ current use of AI tools and how customer perceptions about AI affect AI usage and adoption through the lens of diffusion of innovation theory. The research was conducted using mixed-method qualitative research. In-depth interviews and a case study content analysis were conducted to collect and analyze the data. The results …

Technology In Finance, Bryan Herlihy

Research and Innovation Village

As a technology continues to improve rapidly, every company in all sectors must learn how to adapt or otherwise face the consequences of going bankrupt. One industry in particular that is continuously innovating is finance. In finance, technology had developed into artificial intelligence.

Inquiries In Intelligent Information Systems: New Trajectories And Paradigms, Samaa Elnagar

Theses and Dissertations

Rapid Digital transformation drives organizations to continually revitalize their business models so organizations can excel in such aggressive global competition. Intelligent Information Systems (IIS) have enabled organizations to achieve many strategic and market leverages. Despite the increasing intelligence competencies offered by IIS, they are still limited in many cognitive functions. Elevating the cognitive competencies offered by IIS would impact the organizational strategic positions.

With the advent of Deep Learning (DL), IoT, and Edge Computing, IISs has witnessed a leap in their intelligence competencies. DL has been applied to many business areas and many industries such as real estate and manufacturing. …

Artificial Intelligence: A Diffusion Of Innovation View Of The Manufacturing And Health-Care Industries, William T. Rupp

Atlantic Marketing Association Proceedings

No abstract provided.

Implementing Ethics Into Artificial Intelligence: A Contribution, From A Legal Perspective, To The Development Of An Ai Governance Regime, Axel Walz, Kay Firth-Butterfield

Duke Law & Technology Review

The increasing use of AI and autonomous systems will have revolutionary impacts on society. Despite many benefits, AI and autonomous systems involve considerable risks that need to be managed. Minimizing these risks will emphasize the respective benefits while at the same time protecting the ethical values defined by fundamental rights and basic constitutional principles, thereby preserving a human centric society. This Article advocates for the need to conduct in-depth risk-benefit-assessments with regard to the use of AI and autonomous systems. This Article points out major concerns in relation to AI and autonomous systems such as likely job losses, causation of …

Integrating Machine Learning In Law: A Precis Of Best Practices For Initial Law Firm Adoption, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

Much of the mystery surrounding machine learning lays not just in how it functions, but in how it is applied. This is especially true in the field of law, where the implementation of artificial intelligence has lagged other fields. This précis distills best practices of machine learning implementation and applies them succinctly to the unique environment of law. Guiding principles and considerations are provided for the technology team, the nature of law firm data, and the commitment level of the adopting law firm.

The Infinite Legal Acumen Of An Artificial Mind: How Machine Learning Can Permanently Capture Legal Expertise And Optimize The Law Firm Pyramid, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning’s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence, and …

Curb Your Enthusiasm: The Real Implications Of Blockchain In The Legal Industry, Justin Evans

The Journal of Business, Entrepreneurship & the Law

No abstract provided.

Artificial Intelligence Research In Singapore: Assisting The Development Of A Smart Nation, Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang

Research Collection School Of Computing and Information Systems

Artificial Intelligence (AI) research in Singapore is focused on accelerating the country’s development into a Smart Nation. Specifically, AI has been employed extensively in either augmenting the intelligence of humans or in developing automated methods and systems to improve quality of life in Singapore.

How Artificial Intelligence Is Impacting Manufacturing Industry, Deepak Srinivasan, Maitreyi Ramesh Swaroop, Balaji Rajaram, Sri Krishan Iyer

Research Collection School Of Computing and Information Systems

In this survey, we study the impact of Artificial Intelligence (AI) on manufacturing sector. AI methods can be utilized to make new thoughts several ways: by delivering novel mixes of wellknown thoughts; by investigating the capability of theoretical spaces; and by making changes that empower the era of unexplored thoughts. AI will have less trouble in displaying the era of new thoughts than in automating their assessment. We describe the advances that have been made on AI in manufacturing industry. We close with how to overcome the issues in this area.

Artificial Intelligence And Its Potential Adverse Impacts On The Philippine Economy, Krista Danielle Yu, Caesar Cororaton, Joel P. Ilao, Charibeth K. Cheng, Kathleen Aviso, Christina D. Cayamanda, Michael Angelo B. Promentilla, Ringgold P. Atienza, Roman Julio B. Infante, Raymond R. Tan

Angelo King Institute for Economic and Business Studies (AKI)

Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several industries, particularly for a labor abundant country such as the Philippines. With human capital as one of its largest resources, the services sector is a major contributor to the country’s economy, contributing around 60% of the total gross domestic product and employing about 22.8 million workers (Philippine Statistics Authority, 2017).

Artificial Intelligence – I: Robust Audio Steganography Via Genetic Algorithm, Mazdak Zamani, Hamed Taherdoost, Azizah A. Manaf, Rabiah B. Ahmad, Akram M. Zeki

International Conference on Information and Communication Technologies

Steganography is a technique used to transmit hidden information by modifying an audio signal in an imperceptible manner. The transmission must be possible in spite of subsequent imperceptible alterations (attacks) of the modified signal. We propose a novel approach of substitution technique of audio steganography. Using genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

Managing Expert Systems: A Framework And Case Study, Rob R. Weitz, Arnoud De Meyer

Research Collection Lee Kong Chian School Of Business

This paper addresses the problem of managing the development and implementation of a large expert system in an organization. A traditional systems analysis and design methodology is used as a framework to highlight similarities and differences in managing large scale traditional computer based projects and large expert systems. As a non-technical, prescriptive guide, this article focusses on defining at each stage in the project, the tasks to be accomplished, resources required, impact on the organization, likely benefits and potential problems. The case of a large expert system implemented by a multinational corporation across several European sites is used to clarify …