By 2025, the all - encompassing ascent of intelligent agents will propel the in - depth integration of AI into a myriad of industries, acting as the pivotal driving force of the new economy. Yet, lurking behind the swift advancement of AI technology, security threats have been growing more and more conspicuous. On the technical front, there are hazards like training data contamination, prompt injection assaults, large - model delusions, and the leakage of sensitive information. At the application stage, difficulties abound, including over - personalized recommendations leading to 'information cocoons', 'spoon - fed learning' undermining exploratory thinking capabilities, the generation and dissemination of false information by 'counterfeit content', and the lowering of the entry barrier for cybercrime.
