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

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

Dec 23, 2020

In this engaging discussion, Charles Isbell, Dean at Georgia Tech's College of Computing and an expert in interactive machine learning, dives into the transformative power of education in tech. He highlights the success of Georgia Tech's online Master's program, boasting over 11,000 students. The conversation explores the crucial need for diverse voices in AI and reflects on the systemic biases within machine learning. Isbell also emphasizes embedding ethics into engineering education, advocating for a balance between technological advances and human values.

46:22

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Episode guests

Charles Isbell

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Episode notes

Intro

2min

Exploring Interactive Machine Learning and Educational Access

2min

Revolutionizing Access to Computer Science Education

3min

Reflection on Educational Initiatives and Evolving Leadership

2min

Navigating Diversity in Machine Learning

18min

Navigating AI Fairness and Bias

12min

Embedding Ethics in Engineering Education

9min

As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing.

This year Charles gave an Invited Talk at this year’s conference, You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterprise. In our conversation, we explore the success of the Georgia Tech Online Masters program in CS, which now has over 11k students enrolled, and the importance of making the education accessible to as many people as possible. We spend quite a bit speaking about the impact machine learning is beginning to have on the world, and how we should move from thinking of ourselves as compiler hackers, and begin to see the possibilities and opportunities that have been ignored.

We also touch on the fallout from Timnit Gebru being “resignated” and the importance of having diverse voices and different perspectives “in the room,” and what the future holds for machine learning as a discipline.

The complete show notes for this episode can be found at twimlai.com/go/441.

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