Pricing and Benchmarking of AI Risk
Accelerating AI adoption is creating new financial risks for corporations. While technical and compliance teams focus on model performance and regulatory frameworks, AI risk remains an unaccounted and material liability on financial statements. Corporate executives now have a fiduciary responsibility to quantify and benchmark AI risk in financial terms, and to enable their organizations to do the same. This talk explores how leading enterprises are turning AI risk quantification into a strategic differentiator. By quantifying and benchmarking AI risk, they empower their teams to make data-driven decisions, while their competitors remain mired in technical complexity and AI jargon.
Session Outcomes
Participants will recognize that pricing AI risk is the most effective method to manage AI risk. Pricing AI risk provides a competitive advantage as it enables benchmarking and efficient decision-making.
Learning Objectives
Participants will learn about AI risk: size, growth, drivers and methods to price.