AI-Driven Corporate Social Responsibility Communication: Practical Applications, Ethical Considerations, and Development Pathways
Abstract
The deployment of artificial intelligence in corporate philanthropy communication confers distinct advantages: algorithmic analytics afford a granular diagnosis of social needs, while generative models facilitate the orchestration of imaginative intervention scenarios. By open-sourcing AI assets and fostering co-creation among heterogeneous actors, firms can automatically produce multimodal philanthropic content, thereby catalyzing a paradigmatic shift away from legacy charitable formats. Yet this technologization simultaneously surfaces salient ethical tensions. Restrictive interpretations of corporate social responsibility, precarious protection of user privacy and rights, and technological over-dependence that erodes user autonomy exemplify the emergent dilemmas. To countervail these risks, corporations must integrate AI-based social initiatives into strategic master plans, intensify comprehensive technological application and iterative innovation, and bolster internal governance mechanisms while refining external philanthropic legitimacy. Moreover, cross-sector alliances with diverse non-profit organizations should be cultivated to constitute an interstitial “philanthropic ecosystem” that aggregates multi-actor resources, jointly addresses complex social problems, and accelerates societal advancement and sustainable development.
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