What should a company do if its AI tool provides outdated policy information?

Implementing grounding techniques is essential when an AI tool provides outdated policy information. Grounding techniques are approaches used to ensure that AI models are working with the most current, accurate data available, especially in domains where policies and regulations may frequently change. By grounding the AI in up-to-date information, the organization can improve the relevance and accuracy of the responses it generates, thereby enhancing decision-making and compliance with current standards.

In this context, merely upgrading the hardware of the AI tool does not address the issue of outdated information, as the effectiveness of an AI system heavily relies on the quality of the data it processes rather than just the computational power it possesses. Restricting access to data may limit the AI’s ability to function effectively, while only increasing the training data does not guarantee that the newly included data will be timely or relevant unless specific grounding methods are applied. Thus, grounding techniques offer a structured method to tackle the problem of outdated policy information effectively.