Document Type
Article
Publication Date
11-6-2023
Publication Title
APSIPA Transactions on Signal and Information Processing
Volume
12
Issue
1
Pages
1--62
Publisher Name
NOW Publishers
Publisher Location
Boston, MA
Abstract
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive. In this paper, we delve into the concept of synthetic realities and their implications for Digital Forensics and society at large within the rapidly advancing field of AI. We highlight the crucial need for the development of forensic techniques capable of identifying harmful synthetic creations and distinguishing them from reality. This is especially important in scenarios involving the creation and dissemination of fake news, disinformation, and misinformation. Our focus extends to various forms of media, such as images, videos, audio, and text, as we examine how synthetic realities are crafted and explore approaches to detecting these malicious creations. Additionally, we shed light on the key research challenges that lie ahead in this area. This study is of paramount importance due to the rapid progress of AI generative techniques and their impact on the fundamental principles of Forensic Science.
Recommended Citation
Cardenuto, João Phillipe; Yang, Jing; Padilha, Rafael; Wan, Renjie; Moreira, Daniel; Li, Haoliang; Wang, Shiqi; Andaló, Fernanda; Marcel, Sébastien; and Rocha, Anderson. The Age of Synthetic Realities: Challenges and Opportunities. APSIPA Transactions on Signal and Information Processing, 12, 1: 1--62, 2023. Retrieved from Loyola eCommons, Computer Science: Faculty Publications and Other Works, http://dx.doi.org/10.1561/116.00000138
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© The Authors, 2023.
Comments
Author Posting © The Authors, 2023. This is an open-access article published in APSIPA Transactions on Signal and Information Processing, Volume 12, Issue 1, November 2023. http://dx.doi.org/10.1561/116.00000138