AI in AM: Using AI to Manage Risk through AM Frameworks

AMP Newsletter Series - Mastering Asset Management Decisions

Topics Covered:

• AI’s role in optimizing asset management operations and value generation.

• ISO 55000/55001 standards for balancing costs, risks, and performance.

• ISO/IEC 23894 principles for AI risk management (e.g., fairness, privacy, reliability).

• Applying ISO 23894 to enhance AI-enabled AM processes across AM Framework elements.

• Convergence of AM and AI principles for bias mitigation and trust.

• Benefits like improved precision and future directions for adaptive frameworks.

Learning Objectives:

• Grasp ISO 55000’s role in AM and AI’s enhancement of decision-making.

• Learn ISO 23894 principles for trustworthy AI risk management.

• Explore AI applications in AM for risk assessment and performance.

• Understand alignment of AM principles with AI attributes for resilience.

• Identify integration benefits and future AI advancements in AM.

Key Takeaways:

• AI needs robust AM Frameworks for effective value maximization.

• ISO 23894 ensures AI trustworthiness via principles like fairness and transparency.

• Integration boosts AM decision precision and risk reduction.

• Principle convergence builds accountable, reliable AI systems.

• Yields strategic advantages and paves way for innovative, resilient AM