DiscoverThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Update: 2020-07-27
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Today we’re joined by Hal Daume 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.

Follow along with our ICML coverage at twimlai.com/icml20. The complete show notes for this episode can be found at twimlai.com/talk/395.

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Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Sam Charrington