TY - JOUR
T1 - The Age of Synthetic Realities
T2 - Challenges and Opportunities
AU - Cardenuto, João Phillipe
AU - Yang, Jing
AU - Padilha, Rafael
AU - Wan, Renjie
AU - Moreira, Daniel
AU - Li, Haoliang
AU - Wang, Shiqi
AU - Andaló, Fernanda
AU - Marcel, Sébastien
AU - Rocha, Anderson
PY - 2023/11/6
Y1 - 2023/11/6
N2 - 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. © 2023 J. P. Cardenuto et al.
AB - 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. © 2023 J. P. Cardenuto et al.
UR - http://www.scopus.com/inward/record.url?scp=85192960998&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85192960998&origin=recordpage
U2 - 10.1561/116.00000138
DO - 10.1561/116.00000138
M3 - RGC 21 - Publication in refereed journal
SN - 2048-7703
VL - 12
JO - APSIPA Transactions on Signal and Information Processing
JF - APSIPA Transactions on Signal and Information Processing
IS - 1
M1 - e44
ER -