In recent years, as a new application in the field of artificial intelligence, deep synthesis technology has been widely used in many fields. For example, the generation of composite algorithms represented by deep learning, virtual reality, etc. produces images, audio, video and other information. Due to its high entertainment and wide dissemination, more and more creators are participating in it, and deeply synthesized content shows high attention on various social media platforms.
However, on the Internet, the negative impact of audio and video generated by malicious use of this technology should not be underestimated. The abuse of deeply synthesized content technology is likely to cause reputation damage and property loss to the general public and enterprises, and has a certain adverse impact at the social and national levels.
At present, the application scenarios of deep compositing content are still being enriched. From AI face swapping, speech synthesis, image repair, and then to the recent hot "metaverse", deep synthesis content is rapidly entering the public eye. With the continuous improvement of technological maturity, more and more enterprises and institutions have begun to use deep synthesis technology to provide products and services for the public.
The proposal of new business thinking such as "metacosm" provides a broader application scenario for deep synthesis. "For example, virtual people and digital people are the main applications of deep synthesis, and they are also an important part of the 'metacosm'." Xue Hui, head of Alibaba's security perception and cognitive intelligence department, said.
With the continuous development of the deep synthesis industry, the increase of deep synthesis products and services, the technical threshold of content production continues to decrease, and the "civilianization" of technology is gradually realized, and the risk of related content continues to increase. In recent years, criminals have frequently committed illegal cases such as framing, defaming, fraud, and extortion by forging audio and video.
Chen Changfeng, executive vice dean of the School of Journalism and Communication of Tsinghua University, said that the difficulty of screening false content affects the effectiveness of fact verification, and in major social events or political event nodes, deep synthesis technology may be used to manipulate public opinions, with the help of social media, so that false information can cause viral spread in a short period of time and intensify social contradictions.
At the beginning of this year, the Cyberspace Administration of China promulgated the Provisions on the Administration of In-Depth Synthesis of Internet Information Services (Draft for Solicitation of Comments), which makes specific provisions on the use, identification, scope of use, and legal liability of deeply synthesized content. The industry believes that the imminent introduction of new management regulations means that deep synthesis will usher in a critical period of standardized development.
Wu Hequan, an academician of the Chinese Academy of Engineering, believes that there are two key points in the governance of deep synthesis:
First, we must continue to develop technology, and we cannot prohibit it "one size fits all" to avoid hindering positive applications and innovation. Second, the derived security problems should be solved from the source, using technological innovation, technological confrontation and other ways to continuously improve and iterate the ability of detection technology.