Artificial intelligence puts on the policy agenda How does the smart auxiliary case handling system work?

Artificial intelligence is increasingly influencing the judicial system, with its integration showing promise in two main areas: the speed of AI processing and the comprehensive prediction of legal outcomes. The first involves leveraging intelligent robots alongside judges to expedite decision-making. The second focuses on providing accurate case predictions, helping parties involved in litigation or court participants make informed judgments before a verdict is delivered. For example, consider the case of Gao Mou, who was involved in a traffic accident in a city where his white SUV collided with four other vehicles, causing injuries to three people. After being apprehended, it was found that his blood alcohol content was 243 mg per 100 ml, far exceeding legal limits. ![Image](http://i.bosscdn.com/blog/F0/A7/0E/BB1A9A7F14m.jpg) What kind of punishment will Gao face? Once the case reaches the court, an intelligent case handling assistant system can provide judges with insights into similar past cases, including average sentence lengths and the basis for those decisions. This technology is not only used by courts but also offered to the public through various legal AI products. Some of these tools even allow voice-based inquiries and case analysis. Zou Junkun, General Manager of Huayu Yuandian, a legal tech company, explained that such systems can reveal details like a judge's appeal rate, the frequency of retrials, typical evidence used, and their perspectives on legal issues. While many judicial professionals consider this level of AI as "very basic," it marks a significant step toward a more intelligent judiciary. The push for AI in the legal field comes from growing challenges, such as the imbalance between the number of cases and available judges. With breakthroughs in big data and AI technologies, the concept of "smart courts" and "smart prosecutors" has gained traction. The Supreme People’s Court has emphasized the importance of integrating AI into the justice system, aiming to improve efficiency and consistency. Several initiatives have been launched, including the "206 Project" by the Shanghai Higher People’s Court, which uses AI to assist in criminal case handling. These systems help extract key case elements, analyze data, and suggest relevant precedents. However, while promising, current AI systems are still limited in scope, often focusing on simple crimes and procedural tasks rather than complex legal reasoning. Despite its potential, AI in the legal sector faces challenges, including data quality, algorithmic bias, and the need for interdisciplinary expertise. For instance, biased historical data can lead to discriminatory outcomes, raising concerns about fairness. Additionally, while AI can automate repetitive tasks, it cannot replace the nuanced judgment of human judges, especially in cases involving moral and ethical considerations. Looking ahead, AI could help reduce litigation by setting clearer expectations for case outcomes, encouraging settlements over lengthy trials. As the technology evolves, it holds the potential to transform the judicial landscape, making it more efficient, transparent, and accessible. However, its role should be seen as a tool to support, not replace, the human element in justice.

Silica Sol Casting

Compared with large complex thin - wall castings, civil products have lower requirements on casting quality. However, for the latter, shorten the production cycle, improve the production efficiency of the problem becomes more prominent. The gelation process of common silica sol mainly depends on the dehydration and drying of silica sol, which takes longer time than the gelation of chemical hardening ethyl silicate. Ethyl silicate shell using ammonia dry each layer can be completed in 2h, and the final hardening of silica sol generally takes more than 12h, for some deep holes and other difficult to dry parts of the need for a longer time. At the same time, because the Investment Casting shell needs to be made in layers, each layer needs to be fully dried, to ensure that the lower shell immersion coating will not cause the problem of remelting off, and immersion coating itself, water will be immersed in the dried shell, resulting in a long overall drying cycle. It is a schematic diagram of the production cycle of silica sol shell investment casting under general conditions. As can be seen from the figure, shell making time accounts for more than 50% of the whole casting production cycle. To shorten the delivery time and shell making cycle is the core of the problem. The key factors to shorten the shell-making period can be divided into two aspects: internal cause and external cause. The main internal cause is the characteristics of the binder, and the external cause is the drying condition.

Silica Sol Casting industry in China is developing rapidly and its application is also very extensive.

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