Corporate Social Responsibility Program Communication Model using Artificial Intelligence for Farmers and Fishermen Empowerment (Study in Indonesia)

Abstract

Corporate Social Responsibility (CSR) in Indonesia has evolved from a philanthropic program to a strategic approach focused on sustainable development. However, various CSR programs in the agriculture and fisheries sectors still face challenges in communication, community participation, and sustainability of impact. The development of Artificial Intelligence (AI) offers new opportunities to improve the effectiveness of communication, planning, and decision-making in CSR programs. This study aims to analyze an AI-based CSR communication model for empowering farmers and fishermen in Indonesia. The method used was qualitative, based on a literature review, analysis of company CSR documents, and in-depth interviews with CSR practitioners and academics. The research findings indicate that the integration of AI into the CSR communication model offers three key innovations: (1) a data-driven two-way communication system, (2) increased accuracy of community needs through predictive analysis, and (3) a machine learning-based monitoring system for continuous evaluation. The resulting model offers a technology-enabled participatory communication framework that can strengthen farmers' and fishermen's capacity, increase productivity, and enhance the sustainability of CSR programs.