The Operational Mechanism, Risk Challenges, and Development Paths of Generative Artificial Intelligence Empowering New Productive Forces

Abstract

The empowerment of new productive forces by generative artificial intelligence has become a new trend. Examining the development of generative artificial intelligence empowering new productive forces based on Marxist views of science and technology provides a viable reference for the current global economic recovery. Research methods based on mechanisms, risks, and paths are employed. From the perspective of operational mechanisms, it is the era manifestation of Marxist views of science and technology, adhering to the path of green development, embodying the theme of high-quality development, and embedding the core elements of scientific and technological innovation; from the perspective of risk challenges, there are risks such as technological monopoly hindering scientific and technological innovation, algorithm recommendation eroding subject creativity, data leakage challenging ethical risks, and protectionism impeding international cooperation; from the perspective of development paths, feasible strategies are proposed, including strengthening scientific and technological self-reliance to deepen scientific and technological innovation, open-sourcing algorithms to unleash subjective initiative, implementing supervision to establish data authority, and promoting talent exchange through international cooperation. It is concluded that empowering new productive forces by generative artificial intelligence must adhere to Marxist views of science and technology.