论文标题
AI安全：通过定量镜头的现场状态
AI safety: state of the field through quantitative lens
论文作者
论文摘要
过去十年来，人工智能的性能取得了重大改进，该智力驱动了广泛的应用程序。这种大规模补习的不可预见的影响使AI安全的概念成为了公众的关注。人工智能安全是一个相对较新的研究领域，该领域着重于建立对人类有益的AI的技术。尽管存在有关AI安全领域的调查文件，但对正在进行的研究缺乏定量观察。定量方面提供了有关新兴趋势，知识差距和未来研究的潜在领域的数据驱动见解。在本文中，对文献的文献计量分析发现自2015年以来的研究活动显着增加。此外，该领域是如此新，以至于大多数技术问题都是开放的，包括：具有长期效用的解释性以及我们已确定为最重要的长期研究主题的价值一致性。同样，关于AI的具体政策严重缺乏研究。正如我们期望AI成为社会变革的主要驱动力之一一样，AI安全是我们需要决定人类未来方向的领域。
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.
