~/talk

Decision Making in the Abscence of Ground Truth

Talkat NDC Oslo 2021 · 2021-11-29..12-03· [machine-learning, ai-assisted-development]
links:none on file
slides:none on file

Claims a repeatable method to make quantitative risk estimates without historical data using subject matter experts, producing management-ready KPIs and prioritization. Uses the Sheffield Elicitation Framework to elicit lower/upper bounds, median and quartiles from experts, projects those into numeric samples (e.g. generate 10,000 samples or smaller ensembles), then computes expected loss and ranks items — showing a functioning demo that returns a top 10 riskiest assets list and drillable tables for targeting maintenance.

AI-written summary · about

  1. 0:00Start
  2. 0:48Agenda
  3. 2:32Introduction
  4. 13:41The Path to Success
  5. 15:31Elicitation Framework
  6. 19:45Challenging your value for L
  7. 21:43Median M
  8. 24:35Challenging your median
  9. 25:50Refining your median
  10. 27:54Placement of Q1 - examples
  11. 30:29The next step
  12. 31:25Consensus
  13. 33:36What would RIO think?
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