Human Factors in Machine Intelligence with James Guszcza

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While there, I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on “Why AI needs human-centered design.”

We had an amazing chat, in which we explored the many reasons why the human element is so important in ML and AI, along with useful ways to build algorithms and models that reflect this human element, while avoiding out problems like group-think and bias. This was a very interesting conversation. I enjoyed it a ton, and I’m sure you will too!

TWIML Online Meetup

One FINAL reminder about the upcoming TWIML Online Meetup: this Wednesday, Oct 18 at 3pm PT, We will discuss the paper Visual Attribute Transfer through Deep Image Analogy, by Jing Liao and others from Microsoft Research. The discussion will be led by Duncan Stothers. (Thanks Duncan!) For anyone who’s has missed the last two meetups, or for those that haven’t yet joined the group, please visit There you’ll find Video Recaps of the last 2 meetups, along with a link to the paper we’ll be reviewing next month. If you’d like to present your favorite paper, we’d love to have you do it. Just shoot us an email at to get the ball rolling.

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About James

Mentioned in the Interview


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