Ai-Driven Intelligent Automation and Corporate Sustainability: Unveiling the Strategic Influence of Corporate Social Responsibility

Abstract

This study examines how AI-driven technology and corporate social responsibility (CSR) interact to promote sustainable business practices. Organizations may improve decision-making, minimize environmental impact, and maximize resource utilization using AI-powered solutions like robotic process automation, machine learning, and predictive analytics. Applications of AI have shown tremendous promise in tackling global issues, from tracking carbon emissions to enhancing supply chain effectiveness and biodiversity preservation. To guarantee responsible AI deployment, a strong CSR framework is required, as these developments also bring up ethical issues including data privacy, algorithmic prejudice, and worker displacement.CSR has developed from a side project to a strategic necessity that influences business sustainability objectives. Companies may resolve moral conundrums, build stakeholder trust, and align their operations with international sustainability standards like the Sustainable Development Goals (SDGs) of the UN by incorporating CSR concepts into AI plans. This study emphasizes how crucial corporate social responsibility (CSR) is to directing the adoption of moral AI, encouraging stakeholder participation, and bringing about significant social change. Additionally, it highlights the main obstacles to successful CSR implementation, such a lack of resources, complicated regulations, and cultural differences, and provides advice on how to get past them. This study shows how the combination of AI and CSR generates long-term benefits for companies and society through case studies and real-world examples. The study indicates that in order to achieve a sustainable business ecosystem that strikes a balance between technological innovation, environmental stewardship, and social equality, intelligent automation must be aligned with CSR-driven strategies.