Impact In Progress
A podcast about research that is transforming the world from Emory University.
21 hours ago

Building Digital Twins For Expert Decision-Making

Episode Notes

While mainstream artificial intelligence relies on scraping vast databases to predict outcomes, what if AI could instead capture, preserve, and scale individual human wisdom? Organizational psychologist Dr. Karl Kuhnert joins host Dr. Kimberly Eck to explain how he builds "digital twins" of domain experts. Through structured 90-minute elicitation interviews and interactive scenario testing, Dr. Kuhnert models how seasoned specialists—such as pulmonologists deciding on lung transplants under intense **60-**minute time constraints—make high-stakes choices.

Dr. Kuhnert highlights the critical distinction between generic Large Language Models (LLMs) and sourced, transparent decision twins. He details how these models capture "tacit knowledge"—the unconscious, lived experienced-based insight that distinguishes true experts from novices—and discusses how scaling human judgment can transform clinical training, business continuity, and professional mentorship.

Key Takeaways:

  • Preserving Tacit Knowledge: Capturing the "how" behind decision-making before senior leaders and master clinicians retire.
  • Sourced vs. Anonymous AI: Why decision twins offer auditable, trusted, and transparent logic compared to broad database scraping.
  • Wiser People, Not Just Smarter AI: Utilizing technology to l earn from human judgment rather than replace human judgment.

Resources:

Call to Action:

Discover leadership programs and faculty research at Emory’s Goizueta Business School by visiting https://goizueta.emory.edu/goizueta.emory.edu.

To stay updated on the latest research and impact at Emory, follow Impact in Progress on your favorite podcast platform, and if you are an Emory researcher interested in being featured, please reach out to Dr. Kimberly Eck at [email protected].

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