Petr Spelda


Petr Spelda
  • CCSD Research Fellow

Contact Info


Biography

I am an Assistant Professor at the Department of Security Studies, Charles University, Prague.

I am interested in safe machine learning and the means to achieve it. Most of my works deal with inductive inference in various learning frameworks. I tend to believe that the formal study of inductive inference is important for the safety of artificial intelligence.

I am writing a book on AI alignment and (social) preference learning.

I collaborate with Vit Stritecky, my colleague from Charles, and John Symons from The University of Kansas.

Research

Research interests:

  • Machine learning, AI alignment, and Human-Tech relationship