Oral Materialization and Ethical Governance of Science and Technology in Artificial Intelligence

Abstract

Contemporary people live in a reality full of intelligent technology construction, and many practical activities are regulated by technology. The chat content generation pre-training program artificial intelligence developed by the Open Artificial Intelligence Research Center (OpenAI) based on large model data training has aroused wide concern because of its generation and learning ability. It is necessary to admit that the current domestic media publicity seems to focus more on the convenience that big data technology may bring to human society. But not much about its own limitations. In the few discussions on the negative effects of big data technology, more concerns are raised about the ethical risks that may be caused by the abuse of relevant technology, such as the threat of "data greed" to personal privacy, and the decision-making errors that may be caused by the superstition of business decision-makers and government heads about "digital dictatorship", etc. From the perspective of philosophy of information technology and philosophy of cognitive science, this paper reviews the gains and losses of big data technology itself in terms of philosophical thought premise and path strategy. Starting from the theory of "moral materialization", this paper analyzes the ethical value load and risk of artificial intelligence from the perspectives of moral subject status, value position presupposition, operation intervention and operation result effect. And from the moral materialization theory of "top-down" approach and "bottom-up" approach to the ethical governance of modern scientific and technological intelligent artifacts.