Alexander Pan
I work on AI safety at Meta. Previously, I led safety at xAI.
I did my PhD at Berkeley, where I was lucky to have Jacob Steinhardt as my advisor. Before that, I studied math and CS at Caltech.
Selected Publications
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Feedback Loops With Language Models Drive In-Context Reward Hacking
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Contact
Feel free to email me at aypan (dot) 17 (at) berkeley (dot) edu.