AI and the Responsible Data Economy with Dawn Song

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

Today we’re joined by Professor of Computer Science at UC Berkeley, and CEO & Founder of Oasis Labs, Dawn Song.

Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on bringing these disciplines together with Oasis Labs. In our conversation, we explore their goals of building a ‘platform for responsible data economy,’ which would combine techniques like differential privacy, blockchain, and homomorphic encryption. The platform would give consumers more control of their data, and enable businesses to better utilize data in a privacy-preserving and responsible way. We also discuss how to privatize and anonymize data in language models like GPT-3, real-world examples of adversarial attacks and how to train against them, her work on program synthesis to get towards AGI, and her work on privatizing coronavirus contact tracing data.

Celebrating 400 Interviews!

We recently released the 400th episode of the TWIML AI Podcast! While 400 is an amazing milestone, what’s even more interesting to us is how we grow and evolve over the next 100 episodes to better serve all of you. We’ve already introduced a ton of new programs this year, from video interviews to watch parties to premium courses, and this is just the beginning.

We want to hear your feedback on this occasion. Head to the comments section below and share your story on how the podcast has impacted you, your thoughts on how we can improve, and your tips on who we should interview!

As a thank you for your contribution we are printing up a fresh new batch of TWIML laptop stickers, and everyone who leaves a note will get some!

Connect with Dawn!

Resources

Join Forces!

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

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