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Open Access Knowledge and Scholarship

Date of Award

10-2023

Culminating Project Type

Starred Paper

Styleguide

apa

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Dr. Jim Chen

Second Advisor

Dr. Lynn Collen

Third Advisor

Dr. Balasubramanian Kasi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

Deepfakes awareness, Privacy, Survey, media trust, Artificial Intelligence, fake news

Abstract

Technological advancements not only can make life easier but also create menacing consequences when misused. Deepfake technology, being one of the major advancements recently, serves as an example of such technology. It is extremely difficult to identify the fake media from the real media. Deepfake technology uses Artificial Intelligence to impersonate someone and create hyper-realistic media like videos and pictures. This paper assesses the rising implications of Deepfake technology on individual privacy and security. The augmentation of deepfake capabilities, powered by Artificial Intelligence, gives rise to a predicament in accurately discerning authentic media from concocted variations, thus jeopardizing personal identities and data integrity. The study examines the emergence of Deepfake technology, exploring its societal and commercial ramifications. It confronts the adequacy of prevalent legal frameworks and the urgency for upcoming regulatory advancements. Moreover, the research delves into the range of countermeasures, from detection techniques to instructional initiatives, designed to restrain the malignant exploitation of deepfakes. The emerging discourse unearths a burning demand for an integrated approach that includes legislative action, technological safeguards, and heightened public awareness to straddle the dangers brought by this double-edged technology.

Comments/Acknowledgements

I would like to express my sincere appreciation to all those who have contributed to the completion of this study. First and foremost, I would like to thank the Chairperson of the Committee, whose insightful comments and suggestions have helped to shape this paper into its final form.

I would also like to acknowledge the valuable guidance provided by my supervisor and the committee members whose support and encouragement has been instrumental in our research process. In addition, I extend my gratitude to the various individuals and organizations who have generously provided their time, resources, and expertise during our research.

Without their contributions, this research would not have been possible. I hope that this paper will contribute to a better understanding of the implications of deepfake technology on privacy and security in society, and I look forward to continued discussions and advancements in this field.

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