AI’s Native Tongue: The Language of Chance

Prompting AI for Chances and Building Apps

AI is trained on stochastic (uncertain) data, operates probabilistically, and produces uncertainty whether it admits it or not. The problem is that we ask it for numbers instead of letting it speak in the language of chance. It can also create applications like the ChanceOmeters on the webinar landing page.

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.

• Try your hand at building Chance-Informed apps with AI.

• 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

Custom webinars can be arranged for your organization

Inquire for details: info@probabilitymanagement.org