Exploring Quantifiable Objectives, Testing Strategies, and Safeguards in AI Products

Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed.

In this episode you will learn:

• How narrative A.I. can assist creativity [5:14]
• How to build ML products that have no quantitative error function to optimize [10:31]
• How to ensure creative A.I. systems do not output non-sense or explicit content [16:58]
• Hilary's OSEMN data science process [21:05]
• The emerging ML technique she’s most excited about [24:58]
• What it takes to be successful as CEO of an early-stage A.I. company [27:20]
• What she looks for in engineering hires [32:28]
• How she’s hopeful A.I. will transform our lives for the better in the decades to come [38:48]

Additional materials: www.superdatascience.com/589