Pragmatic AI Safety with Dan Hendrycks

Event Details
  • Date/Time:
    • Thursday April 21, 2022
      5:00 pm - 6:00 pm
  • Location: Molecular Sciences and Engineering, room 1224
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Michael Chen

Summaries

Summary Sentence: Dan Hendrycks is a graduate student in Computer Science at UC Berkeley and has been a driving force in building AI safety as an academic field.

Full Summary: Dan Hendrycks is a graduate student in Computer Science at UC Berkeley and has been a driving force in building AI safety as an academic field.

Dan Hendrycks is a graduate student in Computer Science at UC Berkeley and has been a driving force in building AI safety as an academic field.

Abstract: AI systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. As with other powerful technologies, safety for AI should be a leading research priority. In response to emerging safety challenges in AI, such as those introduced by recent large-scale models, I provide a pragmatic new roadmap for AI safety. I'll discuss how researchers can shape the process that will lead to strong AI systems and steer that process in a safer direction.

Related Links

Additional Information

In Campus Calendar
Yes
Groups

General

Invited Audience
Graduate students, Undergraduate students
Categories
Student sponsored
Keywords
No keywords were submitted.
Status
  • Created By: Kristen Bailey
  • Workflow Status: Published
  • Created On: Apr 18, 2022 - 2:28pm
  • Last Updated: Apr 18, 2022 - 2:28pm