Leveraging Artificial Intelligence for Supply Chain Risk Management

The rise of artificial intelligence (AI) solutions in the corporate landscape has prompted a wider discussion among public stakeholders and policymakers about the best practices for leveraging this evolving technology to coordinate the global supply chain. In area of supply chain risk management (SCRM), scholars and practitioners have only recently turned their attention to how AI can bolster, or even supplement humans in decision-making processes. While AI holds a great deal of promise in reducing the potential for severe supply chain disruptions, ethical considerations and the novelty of AI-based solutions can introduce multiple challenges for critical infrastructure organizations that may be eager to incorporate this technology. The aim of this technical paper is to describe recent advancements and emerging trends in the use of AI to quantify risk crisis management readiness and make strategic choices using identified risks in decision-making. In what follows, I will provide a review of key research findings, methodologies, and innovations made in the areas of AI and SCRM. Additionally, this paper unpacks core ethical issues including algorithmic bias, responsible data handling, and outsourcing decision-making. These are interrelated issues that critical infrastructure corporations must navigate to maintain a commitment to safety and security while increasing organizational resilience. To conclude, this paper outlines several suggested best practices for businesses that are eager to incorporate artificial intelligence into supply chain risk management protocols and discusses expected trends in the use of AI in SCRM.