The Age of Synthetic Realities: Challenges and Opportunities
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914958672920576 |
|---|---|
| author | Cardenuto, João Phillipe Yang, Jing Padilha, Rafael Wan, Renjie Moreira, Daniel Li, Haoliang Wang, Shiqi Andaló, Fernanda Marcel, Sébastien Rocha, Anderson |
| author_facet | Cardenuto, João Phillipe Yang, Jing Padilha, Rafael Wan, Renjie Moreira, Daniel Li, Haoliang Wang, Shiqi Andaló, Fernanda Marcel, Sébastien Rocha, Anderson |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_11503 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Age of Synthetic Realities: Challenges and Opportunities Cardenuto, João Phillipe Yang, Jing Padilha, Rafael Wan, Renjie Moreira, Daniel Li, Haoliang Wang, Shiqi Andaló, Fernanda Marcel, Sébastien Rocha, Anderson Computers and Society Artificial Intelligence Machine Learning 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. |
| title | The Age of Synthetic Realities: Challenges and Opportunities |
| topic | Computers and Society Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2306.11503 |