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

AI and the Responsible Data Economy with Dawn Song - #403

Aug 24, 2020

Dawn Song, a Professor of Computer Science at UC Berkeley and CEO of Oasis Labs, dives into the future of data privacy and security. She discusses creating a responsible data economy that empowers users while leveraging techniques like blockchain and differential privacy. The conversation highlights the risks of adversarial attacks on AI, and how innovations in homomorphic encryption can secure sensitive data. Dawn also shares insights on balancing privacy with effective COVID-19 contact tracing, emphasizing the importance of technology in protecting personal information.

53:24

Creator website

Episode guests

Dawn Song

AI Chapters

Episode notes

Intro

2min

Exploring the Journey into AI and Intelligent Machines

2min

Building a Responsible Data Economy

21min

Securing Computation with Homomorphic Encryption

6min

Building Resilient AI: The Challenge of Adversarial Attacks

9min

Advancements in Program Synthesis

9min

Navigating Responsible Data Use in COVID-19 Contact Tracing

5min

Today we’re joined by Professor of Computer Science at UC Berkeley, 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 her startup, Oasis Labs.

In our conversation, we explore their goals of building a ‘platform for a 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.

The complete show notes for this episode can be found twimlai.com/go/403.

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.