# tacit-knowledge

Published articles for tacit-knowledge.

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## Reciprocal knowledge elicitation: when the interview goes both ways

DevFeed: [Reciprocal knowledge elicitation: when the interview goes both ways](<https://devfeed.tech/articles/reciprocal-knowledge-elicitation-when-the-interview-goes-both-ways-38797.md>)

Original publisher: [Read original article](<https://fidelitas.io/2026/05/reciprocal-knowledge-elicitation/>)

Author: fidelitas.io

Published: 2026-05-18T21:30:00Z

Content type: opinion

Language: en

Sources: [fidelitas.io](<https://devfeed.tech/sources/fidelitas-io.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Matter](<https://devfeed.tech/topics/matter.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [human-ai-collaboration](<https://devfeed.tech/tags/human-ai-collaboration.md>), [interview](<https://devfeed.tech/tags/interview.md>), [interviews](<https://devfeed.tech/tags/interviews.md>), [knowledge-management](<https://devfeed.tech/tags/knowledge-management.md>), [tacit-knowledge](<https://devfeed.tech/tags/tacit-knowledge.md>)

### AI overview

The article explains reciprocal knowledge elicitation, an approach in which humans and AI jointly extract, refine, and validate expert knowledge. It argues that targeted follow-ups, summaries, contradiction detection, and gap-finding can better capture tacit knowledge than one-way interviews or forms.

### Source excerpt

Traditional knowledge elicitation is a one-way street: an expert talks, a system listens. A new wave of human-agent research is rewriting that contract. Here's what reciprocal knowledge elicitation actually means, why it matters for capturing tacit knowledge, and how to design one without losing the plot.