New research agenda released alongside 35+ co-authors from NLP, ML, and AI Safety communities!

“Foundational Challenges In Assuring Alignment and Safety of LLMs” has been released alongside 35+ co-authors from NLP, ML, and AI Safety communities!

This work identifies 18 foundational challenges in assuring the alignment and safety
of large language models (LLMs). These challenges are organized into three different
categories: scientific understanding of LLMs, development and deployment methods,
and sociotechnical challenges. Based on the identified challenges, we pose 200+ concrete
research questions.

Link here: https://llm-safety-challenges.github.io/

Lead author Usman Anwar