人工智慧安全：通過定量鏡頭的場狀態（Computers and Society）

• 2020 年 2 月 18 日
• 筆記

在過去的十年里，人工智慧的性能有了很大的提高，並得到了廣泛的應用。這種大規模採用的不可預見的影響，讓人工智慧安全的概念進入了公眾的視野。人工智慧安全是一個相對較新的研究領域，研究的重點是構建對人類有益的人工智慧的技術。雖然有人工智慧安全領域的調查論文，但缺乏對正在進行的研究的定量研究。定量方面提供了關於新興趨勢、知識差距和未來研究的潛在領域的數據驅動的洞察力。本文通過文獻計量分析發現，自2015年以來，研究活動顯著增加。此外，該領域是如此的新，大多數的技術問題是開放的，包括:可解釋性與它的長期效用，以及價值取向，我們已經確定為最重要的長期研究課題。同樣，關於人工智慧的具體政策也嚴重缺乏研究。正如我們期待人工智慧成為社會變革的主要驅動力之一，人工智慧安全是我們需要決定人類未來方向的領域。

原文題目：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

原文鏈接：https://arxiv.org/abs/2002.05671