Trends and Artificial Intelligence Development of Banking Sector: Social Implication of Green Banking Initiatives

Purpose: This study is to explore trends and developments in artificial intelligence within the banking sector, focusing on the social implications of green banking initiatives. It aims to understand how AI can enhance sustainable practices, reduce environmental impact, and promote socially responsible banking. Theoretical Framework: This study integrates the Technology Acceptance Model (TAM) and Social Responsibility Theory. It examines how AI adoption in banking can drive green banking initiatives, focusing on user acceptance, environmental sustainability, and the broader social impact of integrating advanced technologies in financial services. Design/ Methodology: This study employs a quantitative research design using a structured survey to gather data from 238 respondents, including banking professionals and customers. Statistical analysis will be conducted to assess the impact of AI on green banking initiatives and their social implications, focusing on environmental sustainability and user acceptance. Findings: The study finds that AI significantly enhances green banking initiatives by improving efficiency and reducing environmental impact. Respondents acknowledge the positive social implications, including increased customer awareness and engagement in sustainable practices. However, concerns about data privacy and the need for transparent AI implementation are highlighted as critical areas for improvement. Originality: This study is original in its comprehensive analysis of AI's role in advancing green banking initiatives, combining insights from both banking professionals and customers. It uniquely highlights the intersection of technology, sustainability, and social responsibility, providing a fresh perspective on how AI can drive environmentally conscious and socially responsible banking practices.