Is it reliable for AI big model to fill in college entrance examination volunteers? AI said: I can't do it all

[TechWeb] On June 14, it was reported that the 2024 college entrance examination had ended. Recently, a number of provinces across the country have announced the time and method of scoring college entrance examination, most of which are around June 25. What school to apply for and what major to choose have become a big test for examinees and parents.

People often say, "The college entrance examination is divided into seven parts and three parts". With the popularization and application of artificial intelligence, AI application has become a new choice. Especially after AI big model brushed a wave of sense of existence in writing college entrance examination composition, Some students and parents also want to try to fill in the application form with AI.

So, is it reliable for the AI big model to fill in the college entrance examination volunteers? Despite online publicity such as "the algorithm is more powerful than Zhang Xuefeng" and "Shensuanzi", we might as well ask the AI big model itself whether it is reliable to fill in the AI "artifact" for college entrance examination volunteers.

AI doesn't fully trust itself

The AI big model is mainly based on big data and AI technology to provide intelligent volunteer filling suggestions for candidates by collecting information such as college entrance examination data over the years, school enrollment, enrollment and other information, combined with examinees' scores, positions, interests and other factors.

This time, we chose Tencent Yuanbao, Byte Doubao, Alibaba Tongyi, Baidu Wenxin Yiyan, 360AI Search, as well as overseas ChatGPT, Google Gemma 7 big model products, and asked them the same question: Is it reliable to use the AI big model to fill in college entrance examination volunteers?

The test found that their conclusions are almost the same: the AI big model has a certain auxiliary role in the college entrance examination volunteer filling, which can provide some references and suggestions, but cannot be completely relied on.

Specifically, the above seven major models all analyzed the advantages and limitations of AI in college entrance examination volunteer filling in the answers. Among them, Doubao and Gemma also gave specific suggestions for filling in, pointing out the current market situation, 360AI search and even introducing user cases to analyze the performance of the AI model.

To sum up the answers of the above large model products, in the college entrance examination volunteer filling, the main advantage of AI large model is that it can process a large amount of data in a short time, and provide personalized volunteer filling scheme according to the examinees' scores, interests and intentions.

However, it is worth noting that AI analysis results depend on the quality of training data. If there is deviation in training data or the data is not updated in time, the recommendations will be inaccurate. Moreover, factors such as college entrance examination policies, school enrollment plans, and the number of examinees may change every year, and historical data cannot fully predict future results.

In addition, filling in the application is not only a data analysis, but also involves the experience and judgment of the depth of understanding of schools and majors, the special circumstances and family background of examinees, and the prediction of future employment situation, which are difficult to be completely replaced by AI at present.

360AI Search, for example, said in its response that there had been consumer complaints, and none of the six universities recommended by the AI big model had been accepted, while the guaranteed university he filled in had been accepted. This may be because AI's recommendations rely too much on historical data and statistical models, ignoring individual differences and special circumstances.

AI can be used as an auxiliary tool, but it can not be completely relied on. It has become the consensus of the seven major model products in college entrance examination volunteer filling. Gemma even suggested consulting professional college entrance guidance teachers or college entrance examination volunteer filling experts for more personalized and professional advice. It seems that the crucial moment must be human beings, and "Zhang Xuefeng's people" are still irreplaceable now.

Be alert to the risk of personal information leakage

In addition to the general model products, Baidu, Tencent, Ali and other major manufacturers have also launched their own AI college entrance examination volunteer filling services. For example, Baidu launched the "AI volunteer assistant", Tencent launched the "New College Entrance Examination Pass" applet, and Alibaba's Quark APP provided college entrance examination volunteer filling service.

Many start-ups or vertical education platforms have launched AI helper products for college entrance examination volunteers. Xiaobian searches "AI volunteer" in Apple App Store, and there are more than a dozen results. These applications use Internet crawler technology to collect relevant information in the field of education, and then generate "volunteer filling" consulting products.

Tongyi mentioned in the answer that there are many good and bad AI volunteer products on the market. Some products may simply classify and sort out historical data, and do not have the real sense of intelligent analysis ability, so you need to be careful when selecting them.

In addition, Yuanbao also mentioned in his reply that there is a risk of personal information and privacy disclosure of candidates in the process of filling in AI service volunteers. Once such information is used by criminals to carry out precise fraud, the consequences are worrying.

In general, when filling in college entrance examination volunteers, examinees and parents should make more comprehensive and rational decisions by taking advantage of AI recommendations, combining their own actual situation, hobbies, career planning and consulting experienced teachers and professionals. (Zhou Xiaobai)