Super Data Science: ML & AI Podcast with Jon Krohn

589: Narrative A.I. with Hilary Mason

Jul 5, 2022

Hilary Mason, CEO of Hidden Door, explains the value of narrative A.I. in fostering creativity and building ML products without quantitative error functions. She shares insights on ensuring creative A.I. output is meaningful, her OSEMN data science process, excitement for emerging ML techniques, qualities sought in engineering hires, and her hopeful view on A.I.'s positive impact in the future.

56:28

Episode guests

Hilary Mason

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Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Using narrative A.I. for creative assistance and guideline adherence.

Excitement for few-shot learning as a streamlined ML technique.

Structured OSEMN data science process for efficient workflow.

Deep dives

The Approach to Narrative AI Systems

In the podcast, Hilary Mason details the approach to ensuring that narrative AI systems do not output nonsense or inappropriate content. By creating output templates and offline vetting dictionaries, such systems can generate text in line with predefined guidelines.

Intro

4min

Exploring Hidden Door: Collaborative Storytelling with AI

10min

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

3min

Challenges of Dealing with Problematic A.I. Content and Evolution of Data Science

10min

Being the CEO of an Emerging Tech Company

17min

Advocating Trust in Machine Learning and AI

7min

Book Recommendation and How to Follow the Guest

2min

Insights on Data Science and AI Transformation

3min

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

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