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Jon Krohn

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Jon Krohn

Responsible Decentralized Intelligence

Added on December 6, 2022 by Jon Krohn.

The eminent Prof. Dawn Song joins me on the keynote stage of the Open Data Science Conference (ODSC) West in San Fran for a exceptionally deep, live episode on Responsible Decentralized Intelligence.

Dawn:
• Leads trailblazing research at the intersection of deep learning A.I. and decentralized systems like the blockchain.
• Has been Professor in the Computer Science Division of University of California, Berkeley for 15 years.
• Is Founder of Oasis Labs, a data privacy startup.
• Co-directs the Berkeley Center on Responsible Decentralized Intelligence.
• Is part of the illustrious Berkeley AI Research (BAIR) Lab.
• Has authored 300+ papers that have been cited over 80,000 times!
• Has won countless major awards including a MacArthur Fellowship ("genius grant").

Today’s episode is a deeply technical one that will appeal primarily to practitioners like data scientists, but it does have take-away points that will allow any interested listener to become abreast of the massive emerging potential of decentralized intelligence.

In this episode, Prof. Song details:
• What decentralized intelligence is and how it relates machine learning (particularly deep learning) to other emerging technologies like the blockchain, differential privacy, federated learning, and homomorphic encryption.
• What a “Responsible Data Economy” would look like, with specific real-world examples from her applications of her research to industry.
• Specific resources that she has developed to allow data scientists and software developers to easily develop and deploy privacy-preserving machine learning applications.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

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