人工智能安全：通过定量镜头的场状态（Computers and Society）

• 2020 年 2 月 18 日
• 筆記

在过去的十年里，人工智能的性能有了很大的提高，并得到了广泛的应用。这种大规模采用的不可预见的影响，让人工智能安全的概念进入了公众的视野。人工智能安全是一个相对较新的研究领域，研究的重点是构建对人类有益的人工智能的技术。虽然有人工智能安全领域的调查论文，但缺乏对正在进行的研究的定量研究。定量方面提供了关于新兴趋势、知识差距和未来研究的潜在领域的数据驱动的洞察力。本文通过文献计量分析发现，自2015年以来，研究活动显著增加。此外，该领域是如此的新，大多数的技术问题是开放的，包括:可解释性与它的长期效用，以及价值取向，我们已经确定为最重要的长期研究课题。同样，关于人工智能的具体政策也严重缺乏研究。正如我们期待人工智能成为社会变革的主要驱动力之一，人工智能安全是我们需要决定人类未来方向的领域。

原文题目：AI safety: state of the field through quantitative lens

原文：Last decade has seen major improvements in the performance of artificial intelligence which has driven wide-spread applications. Unforeseen effects of such mass- adoption has put the notion of AI safety into the public eye. AI safety is a relatively new field of research focused on techniques for building AI beneficial for humans. While there exist survey papers for the field of AI safety, there is a lack of a quantitative look at the research being conducted. The quantitative aspect gives a data-driven insight about the emerging trends, knowledge gaps and potential areas for future research. In this paper, bibliometric analysis of the literature finds significant increase in research activity since 2015. Also, the field is so new that most of the technical issues are open, including: explainability with its long-term utility, and value alignment which we have identified as the most important long-term research topic. Equally, there is a severe lack of research into concrete policies regarding AI. As we expect AI to be the one of the main driving forces of changes in society, AI safety is the field under which we need to decide the direction of humanity’s future.

原文作者：Mislav Juric, Agneza Sandic, Mario Brcic

原文链接：https://arxiv.org/abs/2002.05671