Chandler Smith

Chandler Smith

Chandler Smith is a Machine Learning and Alignment Theory (MATS) Scholar whose research focuses on the potential of multi-agent systems for both risk and oversight. His work explores cooperative AI, multi-agent security, and AI control. In addition to his academic research, Chandler is a Technical Architect Fellow at IQT, where he supports the U.S. Intelligence and National Security Communities. He holds a Master’s in Computer Science from Northeastern University.

Share this speaker
Share This Speaker
  • Organization
    ML Alignment & Theory Scholars (MATS)
  • Profession
    Research Scholar
Related sessions
In personGOAL 17
29 May 2024
09:00 - 14:00
EST - New York
CST - Beijing
PST - Los Angeles
We are calling for case studies showcasing successful – and...