We are introducing Aligned, a platform for global governance and alignment of
frontier models, and eventually superintelligence. While previous efforts at
the major AI labs have attempted to gather inputs for alignment, these are
often conducted behind closed doors. We aim to set the foundation for a more
trustworthy, public-facing approach to safety: a constitutional committee
framework. Initial tests with 680 participants result in a 30-guideline
constitution with 93% overall support. We show the platform naturally scales,
instilling confidence and enjoyment from the community. We invite other AI labs
and teams to plug and play into the Aligned ecosystem.

引入 Aligned 平台，旨在实现全球治理、对齐前沿模型和超级智能。通过建立一个可信赖且面向公众的安全框架：宪法委员会，该平台在 680 个参与者的初步测试中获得了 30 个准则宪法，并获得了 93% 的整体支持。证明该平台自然地扩展，从社区中赢得信任和乐趣。我们邀请其他 AI 实验室和团队接入 Aligned 生态系统。

基于平台的对齐过程

Aligned: A Platform-based Process for Alignment

How to make artificial intelligence (AI) systems safe and aligned with human
values is an open research question. Proposed solutions tend toward relying on
human intervention in uncertain situations, learning human values and
intentions through training or observation, providing off-switches,
implementing isolation or simulation environments, or extrapolating what people
would want if they had more knowledge and more time to think. Law-based
approaches--such as inspired by Isaac Asimov--have not been well regarded. This
paper makes a case that effective legal systems are the best way to address AI
safety. Law is defined as any rules that codify prohibitions and prescriptions
applicable to particular agents in specified domains/contexts and includes
processes for enacting, managing, enforcing, and litigating such rules.

人工智能系统如何安全并与人类价值相一致是一个开放性的研究问题，本文提出有效的法律制度是解决人工智能安全性的最佳途径。