Dawn Song - Episode 79

Dawn Song - Episode 79

From ACM ByteCast by Association for Computing Machinery (ACM)

December 18, 2025 · 31 min · Episode 79

About this episode

Dawn Song discusses her academic journey in cybersecurity and the implications of Agentic AI with host Scott Hanselman.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes ACM Fellow Dawn Song, Professor in Computer Science at UC Berkeley, Co-Director of Berkeley Center for Responsible Decentralized Intelligence (RDI), and Founder of Oasis Labs. Her research interest lies in AI safety and security, Agentic AI, deep learning, security and privacy, and decentralization technology. Dawn is the recipient of numerous awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and more than 10 Test-of-Time awards and Best Paper awards from top conferences in Computer Security and Deep Learning. She has been recognized as Most Influential Scholar (AMiner Award) for being the most cited scholar in computer security. Dawn is an IEEE Fellow and an Elected Member of American Academy of Arts and Sciences. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.Dawn shares her academic journey in cybersecurity, which used to be a much…

People in this episode

Host: Scott Hanselman

Guest: Dawn Song

Topics covered

  • AI safety
  • security
  • Agentic AI
  • deep learning
  • privacy
  • decentralization technology
  • cybersecurity

Keywords

  • cybersecurity
  • AI safety
  • Agentic AI
  • deep learning
  • privacy
  • decentralization
  • MacArthur Fellowship
  • awards
  • research
  • entrepreneurship

Mentioned in this episode

Organizations: UC Berkeley, Berkeley Center for Responsible Decentralized Intelligence, Oasis Labs, American Academy of Arts and Sciences, Inc., Wired, ACM, MIT Technology Review, ACM SIGSAC

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