As the parameters of large language models surpass a trillion, as AI achieves greater accuracy than veteran doctors in medical diagnosis, and as algorithms predict consumers' next clicks, we have already entered the deep waters of "human-machine coexistence." Yet the ethical choices involved in self-driving cars, the homogenizing trap of educational recommendation algorithms, and the privacy crisis caused by corporate data abuse continue to raise a central question: How can we make AI a tool rather than a master?
