Enhancing Quality of Life for Silver Generation Using Social Accounting Framework Based on Artificial Intelligence

The Social Accounting Framework based on Artificial Intelligence (SAF-AI) aims to enhance traditional social accounting practices by integrating AI technologies to improve transparency, efficiency, and accountability in financial reporting and social impact assessments. Recognizing that conventional Social Accounting Matrices (SAM) often overlook critical social factors, which play a significant role in economic outcomes, this research addresses the limitations of existing frameworks. The objective is to develop SAF-AI to better accommodate the uncertainties associated with social issues, utilizing AI methods alongside economic analysis and Fuzzy logic. This study employs a combination of SAM and AI techniques to provide a more holistic approach to social accounting, resulting in a 30% overall improvement in effectiveness. By addressing the inconsistencies and subjectivity inherent in traditional manual processes, SAF-AI leverages machine learning and data analytics to deliver real-time insights and predictive modeling. The framework also promotes greater stakeholder engagement and trust through its adaptive learning capabilities and actionable insights for strategic decision-making. The research encompasses various domains, including the analysis of AI algorithms for processing social data, evaluating AI’s impact on stakeholder engagement, and considering ethical implications in automated decision-making. Furthermore, it investigates the integration of AI into existing social accounting systems and the training of professionals to effectively utilize these advanced technologies. By examining multiple sectors such as nonprofits, government agencies, and corporate social responsibility initiatives, SAF-AI provides a comprehensive perspective on the effective use of AI to enhance social accountability. Ultimately, this framework seeks to harmonize social and economic dimensions, addressing the invisibility of social aspects in traditional studies and contributing significantly to the discourse on technology’s role in social accountability.