AI investments are increasing, and so is the financial risk of AI harm.
- Over $1T in claims have been filed
- Over 100 state laws and bills have been introduced to regulate AI risk management
- Most CFOs aren’t accounting for AI risk
Pricing AI risk is required for efficient decision-making.
- Traditional model risk management (i.e. Responsible AI) does not price AI risk
- Technical and ethical debates on AI aren’t completing business cases
- Pricing AI risk enables benchmarking and consistent decision-making
⚠️ Misalignment between innovation and risk oversight slows decision-making and prevents production for misunderstood reasons
External insurance is not available, so most CFOs are self-insuring
- CIO, CTO and Data Science often lead AI deployments
- Treating AI like internal insurance policies enables consistent financial comparisons
- When AI fails, CFO explains financial impacts in earning reports and calls
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AI Risk Quantification Discovery
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