The Language of Chance: AI’s Native Tongue

Implementation for the Chance Economy

 

AI does not reason in averages. It is trained on stochastic (uncertain) data, operates probabilistically, and produces uncertainty whether it admits it or not. The problem is not AI — it is that we ask it for numbers instead of letting it speak in the language of chance.

Learning Outcomes:

  • Learn how to prompt AI for chances rather than numbers, and how to convert those results into SIPmath™ files.

  • Understand how similar stochastic data can be extracted from stock, commodity, and prediction markets and expert opinion.

  • Understand the Stochastic Data Cycle:

    • AI is trained on stochastic data

    • AI creates predictive models

    • The errors of the predictive models are captured as coherent stochastic data and converted to SIPmath for forecasting, decision analysis, aggregation, and audit

Register March 19
Register April 14

Custom webinars can be arranged for your organization

Inquire for details: info@probabilitymanagement.org