Aligning AI systems with corporate sustainability and CSR strategies : providing actionable insights and guidelines for enhanced integration

Abstract

This thesis explores the integration of Artificial Intelligence (AI) in corporate sustainability and Corporate Social Responsibility (CSR) strategies, examining its applications, alignment, and potential enhancements. Utilizing a multi-method approach—including a literature review, interviews with three companies, and a sustainability study of AI tools—the research identifies the broad landscape of AI applications, ethical considerations, and governance frameworks. Insights from interviews reveal AI's deployment in logistics optimization, customer engagement, and sustainability reporting. The sustainability study evaluates AI tools using the Sustainability Awareness Framework (SusAF) to assess alignment with corporate sustainability goals.

Key findings show that AI enhances operational efficiency, decision-making, and stakeholder engagement, supporting comprehensive sustainability strategies. However, challenges such as data privacy, transparency, and ethical implications must be addressed. The study emphasizes the importance of embedding sustainability considerations in AI development from the outset. Future research should focus on enhancing data integration, developing measurable KPIs for aligning AI with sustainability goals, and creating regulatory frameworks to support ethical AI development. These steps are essential for ensuring AI technologies contribute positively to environmental, social, and economic dimensions, fostering a sustainable future for businesses.