Session: The New Feedback Loop: Mastering Feedback Between AI and Knowledge Management

Artificial intelligence is rapidly reshaping how organizations capture, share, and act on knowledge. Yet the real transformation lies in creating a feedback loop between AI systems and knowledge management practices. This session explores how AI not only consumes knowledge but also generates insights, recommendations, and organizational memory that must be curated, validated, and reintegrated.

Attendees will learn how to design feedback loops that ensure AI outputs enhance, rather than distort, enterprise knowledge. We will examine strategies for governance, sensemaking, and alignment that enable knowledge managers to guide AI while also leveraging its capacity to surface patterns and accelerate discovery. We will also examine how to apply KM principles to emergent AI practices such as prompt sharing and guardrail management.

The result is a dynamic cycle where AI and knowledge management continually refine each other to build trust, adaptability, and organizational intelligence.