Image source: Photo.com
Recently, the Department of Supervision of the Ministry of Science and Technology compiled and issued the Guidelines on the Code of Conduct for Responsible Research (2023), proposing that generative artificial intelligence (AIGC) should not be used to directly generate application materials, and generative AI should not be listed as a co-completer of the results, while emphasizing that researchers should integrate the ethical requirements of science and technology into the whole process of research activities. The Guidelines are applicable to scientific research institutions, institutions of higher learning, medical and health institutions, enterprises and their scientific researchers, and the relevant regulatory requirements cover the main links and processes of scientific and technological activities.
In response to the issue of the release of results, the Guidelines emphasize that the publication of breakthrough research results and major research progress should be approved by the scientific research unit where it is located. Researchers are not allowed to disseminate research results to the public without scientific verification or peer review; The published paper or the data and pictures contained therein shall not be republished, and a part of multiple published papers shall not be pieced together to form a "new achievement" before publication.
Generative AI has made remarkable achievements in language models, image generation, music creation, and other fields, bringing unprecedented innovative experiences to humans. However, there are still some issues to be faced in scientific research, such as the stability, interpretability, and ethical challenges of the model. In addition, the development of generative AI also requires more data and computing resources, which still have certain limitations in the field of scientific research. Therefore, researchers need to continue to explore new algorithms and methods, and also need to think deeply about the impact of the development of generative AI on society and humanity to ensure that its development can better benefit mankind.
——Analysis of the penetration of AIGC in various industries
At present, with the deepening integration of the digital economy and the real economy, and the transformation of the digital scene of the Internet platform to the metaverse, the overall demand for the total amount and richness of digital content continues to increase. As a new type of content production mode, AIGC has taken the lead in making significant innovations and developments in industries with a high degree of digitalization and rich content demand, such as media, e-commerce, film and television, and entertainment, and its market potential is gradually emerging. At the same time, in the process of promoting the combination of data and reality and accelerating industrial upgrading, AIGC applications in various industries such as finance, healthcare, manufacturing, and industry are also developing rapidly.
According to IDC, the top five industries in terms of application penetration in Chinese's artificial intelligence industry in 2022 are Internet, finance, government, telecommunications, and manufacturing. In addition, the value of AI for autonomous driving and transportation logistics cannot be ignored, and it is estimated that AI will create 380 billion yuan of economic value for the transportation field.
-- Significant progress has been made in the research and development of major enterprise models
The development of the underlying large model is the foundation and extremely important work of the AIGC industry chain, and at present, a number of companies engaged in the development and extension of large models have emerged in China, and breakthroughs have been made in the research and development of the model.
IDC released the "2024 AIGC Application Layer Top Ten Trends White Paper", saying that with the development of AIGC technology, intelligent applications will show explosive growth, and IDC predicts that by 2024, more than 500 million new applications will emerge worldwide, which is equivalent to the total number of applications that have appeared in the past 40 years. According to the White Paper, the top 10 trend keywords for AIGC applications in 2024 cover application-layer innovation, AI agent, proprietary model, super entrance, multimodality, AI native application, AI tooling, and AI inclusiveness.
Prospective Economist APP Information Group
For more research and analysis of this industry, please refer to the "Analysis Report on the Development Prospect Forecast and Investment Strategic Planning of China's AIGC Industry" by Qianzhan Industry Research Institute.
At the same time, the Prospective Industry Research Institute also provides solutions such as industrial big data, industrial research reports, industrial planning, park planning, industrial investment, industrial mapping, smart investment promotion system, industry status certification, IPO consulting/fundraising feasibility study, IPO working paper consulting, etc. To quote the content of this article in any public information disclosure such as prospectus and annual report, formal authorization from Qianzhan Industry Research Institute is required.
More in-depth industry analysis is available in the [Prospective Economist APP], and you can also communicate and interact with 500+ economists/senior industry researchers.