How General Counsel Can Cut AI Litigation and Compliance Risk Without Blocking Innovation
This article outlines how general counsel can manage AI-related legal risks, such as opaque AI usage, vendor risks, and compliance issues, without stifling innovation.
Why it matters
This article provides practical advice for general counsel to navigate the evolving AI legal landscape and mitigate compliance and litigation risks without stifling AI adoption.
Key Points
- 1AI is spreading rapidly across enterprises, but regulators demand structured oversight and documentation
- 2Principles-based AI governance focused on transparency, fairness, and controls is preferred over AI-specific regulations
- 3Key risks include shadow AI usage by employees, vendor AI models introducing bias, and lack of accountability for AI-assisted decisions
- 4General counsel can advocate for an AI governance framework that addresses these risks without becoming the
- 5
Details
The article discusses the rising legal landscape around AI, where regulators are issuing rules and frameworks for AI development and deployment, such as California's SB 53 law. It notes that regulators are taking a principles-based approach, focusing on use and disclosure rather than detailed model training rules. The core legal exposure comes from AI-assisted decisions affecting rights, money, or employment without transparency, documentation, or oversight. This includes shadow AI usage by employees, as well as vendor AI models that introduce bias or mishandle sensitive data. The article provides guidance for general counsel to establish an AI governance framework that addresses these risks while still enabling innovation, rather than becoming overly restrictive.
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