Let “clean rations” become the standard for AI

Let “clean rations” become the standard for AI (People’s Commentary)

A consumer guide that advertises positive reviews from personal testing is actually a fake "grass planting" note; a seemingly ordinary short video, but there is a trap for illegal traffic diversion in the comment area... With the widespread application of AI (artificial intelligence), some low-quality and empty content that is difficult to distinguish between true and false is spreading in the cyberspace, posing a new test for maintaining a clear online ecology.

This kind of low-nutrition and worthless information is vividly called "digital swill". In the AI ​​era, this kind of information will not only cause local information pollution, but also erode personal cognition, content ecology and even social trust.

From the perspective of impact, AI tools can not only generate content in batches, but also automatically publish and carry out comment interaction. Writing with AI has repeatedly triggered heated discussions, reflecting the impact of this model on content production - without the author having to think deeply, using AI to capture and piece together, in a few minutes, an article can be produced that is well versed in the platform's algorithm and is more likely to be recommended. It can be seen that under the influence of traffic logic, the rapidly generated "digital swill" may form a structural squeeze on the carefully polished original content.

From a sustainability perspective, this low-quality, false or erroneous information not only occupies the current audience’s attention, but also becomes corpus for AI training, forming a self-circulation. Not long ago, writer Yu Hua was on the hot search list because he was mistakenly signed. An essay "Family Emblem" written by Hubei writer Hu Chengzhong has been attributed to him after being circulated several times. Despite Yu Hua's repeated clarifications, this erroneous information still entered the high school entrance examination question bank in some places and was regarded as a "standard answer" by AI. It can be seen that once the distorted content is internalized into "knowledge" by AI, it will cost much more to correct it.

Currently, the content generated by many large models is often the integration and reprocessing of public information on the Internet, lacking an independent and rigorously verified knowledge base. As the application scenarios of artificial intelligence continue to expand from information retrieval and content creation to medical diagnosis, financial decision-making and other fields, inaccurate or distorted information has become a risk that may cause chain impacts.

In the AI ​​era, it is difficult to catch up with the speed of information fission and dissemination by clarifying things afterwards. To solve this problem, we must start from the source, consolidate responsibilities along the entire chain of content production, circulation, and application, and create a reliable, efficient, and all-weather "immune system".

On the one hand, we must rely on the ability of artificial intelligence in information review to actively explore the path of "using AI to govern AI" to quickly discover and deal with erroneous and false information, and build a dam of true information. On the other hand, it is necessary to speed up the construction of high-quality corpora, provide "clean rations" for AI, and vigorously improve the level of information quality. At the same time, the algorithm recommendation mechanism is optimized to give reasonable traffic preference to content that has undergone multiple verifications and is well-founded, and impose certain restrictions on content with unknown sources and doubtful authenticity. Only by embedding value weight into the bottom layer of the algorithm and continuously improving the ability to eliminate the essentials and retain the essentials can true, objective, and valuable content always occupy the mainstream in the digital flood.

To make a clear cyberspace a perceptible and accessible norm, we must also rely on human-machine collaboration to simultaneously improve the information literacy and verification efficiency of the entire society. In the face of massive information, it is necessary to make good use of technical tools such as AI inspection, deep forgery detection, and abnormal propagation warning to reduce the difficulty of verification for users. Currently, my country’s relevant regulations and rules have clarified that synthetic content generated by AI must be marked. On this basis, the channels for technological empowerment should be further expanded, and more "one-click identification" and "one-click reporting" tools should be created to form a joint force between institutional norms and national self-examination. When everyone has the awareness of careful verification and the ability to easily detect forgeries, the vitality of the development of artificial intelligence will be based on the true background.

When working with AI, we embrace the infinite possibilities of technology, and we must adhere to the bottom line of authenticity. AI has lowered the threshold for content production as never before, but this progress cannot be at the expense of reducing information quality. By tightening the reins of the system, upgrading the filter of technology, cultivating the fertile ground for truth-seeking, and making nutritious and high-value information standard, our online home will be more dynamic and orderly, and our future digital life will be richer and more meaningful.

Source: People’s Daily Author: Jin Xin