FLI's founders and core team -- Max Tegmark, Meia Chita-Tegmark, Anthony Aguirre, Victoria Krakovna, Richard Mallah, Lucas Perry, David Stanley, and Ariel Conn -- discuss the developments of 2016 they were most excited about, as well as why they're looking forward to 2017.
Peter Wildeford discusses methods for forecasting AI progress and why he sees AI as neither a bubble nor a normal technology, covering economic effects, national security, cyber capabilities, robotics, export controls, and prediction markets.
Inria researcher Carina Prunkl discusses why AI evaluation struggles to keep pace with general-purpose systems, including jagged capabilities, missed real-world behavior, misuse risks, de-skilling, red teaming, and layered safeguards.
Li-Lian Ang from Blue Dot Impact discusses how to build a workforce to defend against AI-driven risks, including engineered pandemics, cyber attacks, job disempowerment, and concentrated power, using a defense-in-depth framework for uncertain AI progress.