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Foundational Challenges in Assuring Alignment and Safety of Large Language Models
April 16, 2024, 4:42 a.m. | Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut
cs.LG updates on arXiv.org arxiv.org
Abstract: 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.
abstract alignment arxiv challenges cs.ai cs.cl cs.cy cs.lg deployment development foundational language language models large language large language models llms safety scientific type understanding work
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