fbpx

Ion Stoica

Professor
EECS Department
Berkeley

Panel Discussion:

AI Regulatory Panel SB 1047 & Beyond

Panel Summary:

Atom icon for The AI Conference 2023, a groundbreaking two-day event on AGI, LLMs, Infrastructure, Alignment, AI Startups, and Neural Architectures.

Join us for a critical examination of SB-1047, California’s landmark AI legislation. This panel brings together key voices to explore the bill’s far-reaching implications: Senator Scott Wiener, the bill’s author Priya Anand, reporter from the SF Standard, and Ion Stoica, co-founder of Anyscale and Databricks. 

Our experts will discuss:

  • Regulatory Framework: How SB-1047 aims to establish oversight for AI systems, potentially setting a precedent for other states and countries.
  • Impact on Innovation: Balancing the need for responsible AI development with California’s role as a global tech hub. Ethical Considerations: Addressing bias, transparency, and accountability in AI systems.
  • Business Adaptation: How companies, from startups to tech giants, may need to adjust their practices to comply with the new regulations.
  • Public Safety and Privacy: Examining the bill’s provisions for protecting individual rights in an increasingly AI-driven world. This discussion will offer valuable insights into the future of AI governance and its effects on technology, business, and society.
GET CONFERENCE MEDIA

About | Ion Stoica

Ion Stoica is a Professor in the EECS Department at the University of California at Berkeley, and the Director of Sky Computing Lab (https://sky.cs.berkeley.edu/). He is currently doing research on cloud computing and AI systems.

Current and past work includes ChatBot Arena, vLLM, Ray, Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS).

He is a Member of NAE, an Honorary Member of the Romanian Academy, an ACM Fellow and has received numerous awards, including the Mark Weiser Award (2019), SIGOPS Hall of Fame Award (2015), and several "Test of Time" awards.

He also co-founded three companies, Anyscale (2019), Databricks (2013), and Conviva (2006).