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Transforming Mistakes into Knowledge Assets: Building Organizational Intelligence through AI-Human…
- A new framework proposes transforming workplace mistakes into valuable knowledge assets through AI-human co-creation.
- This approach aims to utilize mistakes for learning and innovation, breaking away from the fear of failure.
- The framework consists of phases like excavation, refinement, transformation, dissemination, and evolution.
- AI and humans collaboratively convert tacit knowledge from mistakes into intellectual assets.
- The process involves structured interviews, data processing, sophisticated analysis, and verification by human experts.
- Intellectual assets, derived from discovered insights, are shared and utilized across the organization.
- The framework introduces 'Structural Error AI' to detect and articulate unconscious error structures.
- Levels of organizational maturity in transforming mistakes into assets involve conceptual shifts, systematization, and cultural transformation.
- AI and humans collaborate in co-creation, amplifying each other's strengths for knowledge creation.
- Ethical considerations include balancing privacy, accountability, and knowledge ownership for effective implementation.
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