Navigating AI Governance: Are You Prepared?
In the coming year, every organization will face a critical governance question: “Do we know what the AI said?” This query goes beyond internal AI systems, focusing on what third-party AI models produce.
Key Insights:
- Lack of Governance: Current enterprise frameworks don’t address externally generated AI representations.
- Influence on Decisions: AI outputs from tools like ChatGPT can shape critical business decisions without leaving a trace.
- The Record Gap: When regulators or stakeholders ask about AI-generated information, organizations often find there’s no authoritative record.
Why This Matters:
- Responsibility Diffusion: The absence of clarity about who is accountable for AI outputs could lead to severe governance failures.
- Evidentiary Issues: A robust governance framework must ensure that any representation that matters is reconstructable.
As professionals in AI and tech, it’s essential to recognize and address these governance gaps before they affect your organization.
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