Hierarchical Model of Social Responsibility of Heavy Industry Enterprises in the Age of Artificial Intelligence

Abstract

After the conventional model assigns social responsibility to enterprises, the progress of enterprises' implementation of social responsibility is slow. To solve this problem, this paper proposes a hierarchical model of the social responsibility of heavy industry enterprises in the era of artificial intelligence. Combined with the characteristics of the artificial intelligence era, the evaluation index of heavy industry enterprises' social responsibility fulfillment ability is selected, and the index weight is determined by combining the entropy weight method and analytic hierarchy process. The evaluation value of corporate social responsibility fulfillment ability is calculated, and the ability level is divided. Corporate social responsibility is divided into three levels: advanced, intermediate and basic. According to the level of enterprises' fulfillment ability, the social responsibility level to be fulfilled is determined, and the corresponding level of social responsibility is assigned to enterprises, thus completing the construction of the grading model. A certain iron and steel co., ltd. is selected as the model application object, and a comparative experiment is set up. The results show that the designed model judges that the enterprise has high performance ability and can allocate high-level social responsibility to the enterprise. Compared with the two conventional models, the designed model can accelerate the allocation of corporate social responsibility.