The Refractive Thinker®: Artificial Intelligence: The New Frontier of the Digital Age

Chapter 6: The Dark Side of Artificial Intelligence (AI): Biases

De: Dr. Yottie M. Kenan-Smalls

Narrado por: Virtual Voice

Unlike most academic books that merely define research, The Refractive Thinker® series offers unique application of effective business practices from the perspective of multiple authors – each offering a chapter based on their scholarly expertise.

The Refractive Thinker® series provides doctoral scholars with a collaborative opportunity to promote and publish their work in an award winning peer-reviewed publication, which meets the university standard. Our goal is to provide an affordable outlet for scholars that supports the tremendous need for dynamic dialogue and innovation while providing additional credibility and recognition for each contributing author.

Join Foreword writer Jordan Wilson and esteemed doctoral scholars from around the globe as they present their research and discuss the innovative disruption of Artificial Intelligence (AI). Scholars share not only current trends and applications of this emerging technology, but also functional and moral concerns as the use of AI spreads to all facets of the personal and
business landscape. Come join us! This volume will not only inform readers of the current state of affairs, but also offer ideas that merit further consideration as AI continues to evolve into a societal tool that will continue to shape the conversation of future success in business around the world.

Contributions from our doctoral scholars:

Foreword by Jordan Wilson

CHAPTER 6
The Dark Side of Artificial Intelligence (AI): Biases
Dr. Yottie M. Kenan-Smalls

With advancements in technology, life as we know it, is changing. The use of information technology will continue to increase, and organizations will become more diverse and automated. Artificial Intelligence (AI) includes many facets of automation in society such as changes and effects to healthcare, businesses, communication, automobiles, disability, education, and other general everyday activities that have evolved over time. Essentially, with new technology, humans are experiencing rapid change both at work and at home with enormous complexity. Part of this change includes the implementation, automation, and use of Artificial Intelligence (AI). If implemented correctly, AI can enhance the way we operate in our daily lives. However, if implemented improperly or with biases, the output of the system can potentially be skewed or cause irrevocable harm. Dilmegani (2024) asserted, AI bias is an anomaly in the output of machine learning algorithms, due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

In this chapter the effects of Artificial Intelligence (AI) biases, were evaluated in several disciplines (healthcare, facial and hand recognition, and workforce recruitment) and provided recommendations to help mitigate and resolve the biases. The information provided in this chapter may also prove to be useful knowledge to leaders, managers, technical professionals, and others where the use and implementation of Artificial Intelligence is present.