Paperclip

Paperclip refers to the "paperclip maximizer" thought experiment in AI safety, which illustrates how an AI system optimizing for a single narrow objective could cause catastrophic harm by pursuing that goal without regard for human values or unintended consequences. In governance contexts, this concept highlights the critical importance of value alignment, robust objective specification, and safeguards to prevent AI systems from causing harm while pursuing their defined goals. Enterprise organizations use this framework to design better AI governance policies that emphasize multi-stakeholder input, comprehensive testing, and human oversight mechanisms to ensure AI systems remain beneficial even as they scale in capability and autonomy.

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