Corruption Crime & Compliance Episode 390 -- A Realstic Examination of AI Risks
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Feb 1, 2026 A calm critique of AI-risk hype and a call to stop sprinting toward every hypothetical danger. How to separate companies that center their business on algorithms from those that use AI for support. A practical rundown of five risk categories: privacy, third parties, accuracy, employee misuse, and regulation. Concerns about data exposure, vendor oversight, misinformation, workplace surveillance, and shifting laws.
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Segment AI Risk By Use, Not Geography
- Companies should segment AI risk by how AI is used, not by country or product.
- Core algorithmic uses create materially higher risk profiles than support uses.
Write Tailored, Practical AI Policies
- Establish clear, tailored policies and procedures based on actual AI use and reliance.
- Balance controls to avoid unworkable or burdensome implementations.
A Widespread Blind Spot About AI Usage
- Many companies don't know where AI is used internally or by third parties, creating a knowledge gap.
- This ignorance echoes earlier delays incorporating third-party cyber risk into vendor management.