新时代高质量人工智能研究生培养框架OA

Nowadays,Artificial Intelligence(AI)technology is developing rapidly,but the reform of the AI postgraduate training system lags behind.To address the current problems in AI postgraduate training,such as insufficient coverage of cutting-edge AI technology,few courses on the intersection of AI and other disciplines,and a lack of AI ethics education,a three-dimensional training framework of"technological foresight,disciplinary intersectionality,and ethical adaptability"suitable for AI postgraduates is proposed.This framework focuses on three core issues including how to update knowledge dynamically,how to cultivate interdisciplinary abilities,and how to conduct stratified ethics education.With the goals of enhancing the scientific and technological literacy of AI postgraduates,improving the match between AI postgraduates and the industry,and enhancing the social influence of AI,it promotes and optimizes the reform and improvement of the AI postgraduate training system orientated towards future technologies,providing a set of implementable and sustainable theoretical and practical solutions.