Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III

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

Today we’re joined by Hal Daumé III, professor at the University of Maryland, Senior Principal Researcher at Microsoft Research, and Co-Chair of the 2020 ICML Conference.

We had the pleasure of catching up with Hal ahead of this year’s ICML to discuss his research at the intersection of bias, fairness, NLP, and the effects language has on machine learning models. We explore language in two categories as they appear in machine learning models and systems: (1) How we use language to interact with the world, and (2) how we “do” language. We also discuss ways to better incorporate domain experts into ML system development, and Hal’s experience as ICML Co-Chair.

Thanks to our sponsor

I’d like to send a huge thank you to our friends at Qualcomm for their support of the podcast, and their sponsorship of this series! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on Qualcomm Technologies-powered devices. To learn more about what Qualcomm is up to on the research front, visit here.

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“More On That Later” by Lee Rosevere licensed under CC By 4.0

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