Abstract
Artificial intelligence decision is the most commonly used method to deal with AI conflict. The advantages brought by AI are efficiency, accuracy, science and coordination. Educational decision is the process of behavior design and decision carried out by educational administrative departments, institutions or individuals in order to achieve specific educational goals. Taking computer science as an example, this paper gives the application of artificial intelligence decision making in the field of education, and summarizes the ideas of educational decision making based on specific courses and the actual construction process and conclusions.
Highlights
Artificial intelligence is gradually embedded in social governance with the help of various algorithms, The emergence of algorithmic governance is closely related to the advancement of digital technology, especially after entering the 21st century, computer science has made great progress, Greatly enhance the ability to deal with information-based regulatory activities and complex coordination problems
Scientific and standardized decision guarantees the quality of the education process and promotes the inherent requirements of scientific and democratic educational decision
In the process of advancing the modernization of the education governance system and governance capabilities, make full use of technologies such as deep mining of big data and artificial intelligence decision to comprehensively collect and analyze education and teaching information, and formulate personalized education programs that meet their own characteristics and national conditions, including effective data, The powerful information will comprehensively improve the quality of education, optimize the educational decision plan, give play to the tension between disciplines, promote the science and democracy of educational decision, and greatly increase the public’s recognition and support for educational decision
Summary
Artificial intelligence is gradually embedded in social governance with the help of various algorithms, The emergence of algorithmic governance is closely related to the advancement of digital technology, especially after entering the 21st century, computer science has made great progress, Greatly enhance the ability to deal with information-based regulatory activities and complex coordination problems. In the context of smart cities, algorithmic decision systems should promote the intelligent management of urban resources and processes. The challenges brought by AI include four aspects: AI society, AI technology realization, AI notes and specifications, and AI ethics. AI society includes the replacement and transformation of labor, social acceptance and the transformation of new hires and human-computer interaction. The realization of AI technology includes AI security, system and data quality, integration, cost performance, specialization and skills. AI laws and regulations include the governance of automated intelligent systems, responsibility and accountability, privacy and security. Traffic decision will be connected to the network in a separate autonomous computer. The traffic system can be achieved by setting signal lights, adjusting driving parameters, and dynamically adjusting public transportation according to actual needs. The traffic system can be achieved by setting signal lights, adjusting driving parameters, and dynamically adjusting public transportation according to actual needs. optimization
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