AI and Corporate Risk Management: Identifying and Mitigating Technological and Ethical Risks

In the evolving landscape of corporate governance, Artificial Intelligence (AI) emerges as a double-edged sword, offering unprecedented opportunities for efficiency and innovation, while simultaneously introducing complex technological and ethical risks. This paper delves into the intricacies of AI deployment in corporate risk management, highlighting the critical need for businesses to identify, understand, and mitigate the multifaceted risks associated with AI technologies. Through a comprehensive literature survey, we explore existing methodologies and gaps in the current approaches to AI risk management. Building on this foundation, we propose a novel framework that integrates advanced risk identification algorithms with ethical oversight mechanisms, aiming to safeguard against technological failures and ethical oversights. We implement this framework using a combination of statistical models and machine learning algorithms, underpinned by mathematical expressions that quantify risk exposure and mitigation effectiveness. The results, presented through analytical graphs and comparative tables, demonstrate the framework’s potential to enhance corporate risk management strategies by providing deeper insights into risk dynamics and mitigation outcomes. By bridging the gap between technological advancements and ethical considerations, our work contributes to the development of more resilient and responsible AI applications in the corporate world, ensuring that companies can harness the benefits of AI while minimizing its inherent risks.