Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao

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Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge.

Our conversation begins with the origin story of the Fake News Challenge, including Delip’s initial motivations for the project, and what some of his key takeaways were from that experience. We then dive into a discussion about the generation and detection of artificial content, including “fake news” and “deep fakes.” We discuss the state of generation and detection for text, video, and audio, the key challenges in each of these modalities, the role of GANs on both sides of the equation, and other potential solutions. Finally, we discuss Delip’s new book, Natural Language Processing with PyTorch and his philosophy behind writing it.

Thanks to our Sponsor!


Before we get going I’d like to send a huge thanks to our friends at HPE for sponsoring this week’s series of shows from the O’Reilly AI Conference in New York City!

At the conference, HPE presented on Infosight, which is the company’s cloud-based AIOps solution for helping IT organizations better manage and ensure the health of their IT infrastructure using AI. I’ve previously written about AIOps, and it’s definitely an interesting use case for machine learning. To check out what HPE InfoSight is up to in the space, visit twimlai.com/hpe.

About Delip

Mentioned in the Interview

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

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