The Age of Synthetic Realities: Challenges and Opportunities

João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira +5 more
6/9/2023
cs.CYcs.AIcs.LG

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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.

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Cite this paper

@article{cardenuto2023synthetic,
  title  = {The Age of Synthetic Realities: Challenges and Opportunities},
  author = {João Phillipe Cardenuto and Jing Yang and Rafael Padilha and Renjie Wan and Daniel Moreira and Haoliang Li and Shiqi Wang and Fernanda Andaló and Sébastien Marcel and Anderson Rocha},
  year   = {2023},
  eprint = {2306.11503},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.11503v1}
}

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