第十二屆「板橋杯」（Bambridge）青年翻譯競賽分筆譯和口譯兩項子賽事。具體參賽規則如下：
第一部分 筆譯比賽
競賽內容：
軍事、外交、政治和國際關係等題材，形式為英語文章漢譯。
筆譯參賽原文：
參賽人員請登陸江蘇省翻譯協會網站下載、查看通知附件或相關微信公眾號。
參賽對象：
1. 江蘇地區高校教師或學生。
2．江蘇地區熱愛翻譯的其他人員。
3. 年齡40周歲以下。
譯文要求：
1. 參賽譯文需用電腦A4紙宋體5號列印。譯文正文內請勿書寫譯者姓名或透 露任何有關譯者的個人信息。
2. 參賽譯文請將報名表作為封面，寫清參賽者的姓名、性別、出生年月、工作（學習）單位、聯繫電話和地址。
3. 同時將譯文電子稿發送至競賽專用郵箱：bambridge@163.com，主題以姓名+譯文題名標註。
4. 參賽譯文須獨立完成，杜絕抄襲現象。一經發現，將取消參賽資格。
獎項設置：
筆譯比賽設特等獎四名，一等獎十二名，二等獎二十名，三等獎若干名。
頒獎典禮：
本屆競賽頒獎典禮將於2020年6月中旬在南京（具體時間地點待通知）舉行，部分筆譯獲獎代表將獲得邀請參加典禮，其他獲獎人員證書通過郵寄方式發放。
截止日期：
2020年4月15日（參賽譯文投遞截止日期以寄出郵戳為準）。
投寄（掛號）地址：
南京市雨花區板橋街道振興路55號 郭瓊（老師）收 郵編：210039
（請在信封上註明：「參賽譯文」字樣，只接受郵局投遞和EMS，其它形式的快遞不予受理。）
聯繫人：郭老師 電話：13814003496
第十二屆「板橋杯」（Bambridge）青年翻譯筆譯競賽參賽報名表姓 名
出生年月
性 別
工作/學習單位
職 業
通信地址
郵 編
電話/手機
第二部分 口譯比賽
競賽內容：
本屆口譯比賽初賽採取對話口譯的形式，決賽採取段落口譯的形式。參賽對象以邀請賽方式進行。
參賽對象：
具體參賽對象以組委會正式邀請為準（年齡為40周歲以下）。
報名要求：
1. 每所院校限報兩名參賽選手，各院校負責組織本校的初選工作。
2. 擬報名參賽的選手需要在截止日期前將參賽報名表寄回，寫清參賽者的姓名、性別、出生年月、工作（學習）單位、聯繫電話和地址。
獎項設置：
口譯比賽設特等獎二名，一等獎四名，二等獎六名，三等獎若干名，並設優秀指導教師獎。
比賽時間及頒獎典禮：
本屆口譯競賽將於2020年6月中旬頒獎典禮之前舉行，比賽結束時當場頒獎。（具體時間地點以正式邀請為準）
報名截止日期：
2020年4月15日（投遞截止日期以寄出郵戳為準）。
投寄（掛號）地址：
南京市雨花區板橋街道振興路55號 李靜（收） 郵編：210039
手機：13951696256
（請在信封上註明：「口譯報名」字樣，只接受郵局投遞和EMS，其它形式的快遞不予受理。）
聯繫人：
李靜（老師）手機：13951696256
郭瓊（老師）手機：13814003496
第十二屆「板橋杯」（Bambridge）青年翻譯口譯競賽參賽報名表
姓 名
出生年月
性 別
工作/學習單位
通信地址
郵 編
電話/手機
指導教師
電話/手機
江蘇省翻譯協會
2020年1月18日
第十二屆「板橋杯」（Bambridge）青年翻譯競賽筆譯原文
AI Applications at the Strategic Level of War
Like so many technologies, AI is loaded with latent military potential. How long will it be until we see game-changing AI applications in this field? Algorithmic warfare is potentially a prime mover of a revolution in military affairs. AI was central to the 「third offset strategy」 pursued by the Department of Defense in the second Obama term and was a principal focus of multiple government initiatives to accelerate the development of advanced technologies. In June 2018, DOD set up its Joint Artificial Intelligence Center, following the establishment of the White House’s Select Committee on AI in May 2018 and the release of the White House Executive Order on Maintaining American Leadership in Artificial Intelligence on February 11, 2019. DOD and IC spending on AI has also increased. For military applications with direct analogs in the civilian world, like logistics, planning, analysis, and transportation, AI-supported data analytics are already in use throughout the defense and intelligence communities. These applications are separate and distinct from applications to warfighting, which tend to fall into two categories: those with effects primarily at the operational level of war and those that also affect the strategic level. AI applications at the operational level of war could have a very significant impact on the use of general-purpose military forces to achieve tactical objectives, and thus on the credibility of conventional deterrence. AI applications at the strategic level could have significant influence on political decisions about the scale and scope of war, escalation and de-escalation, and, by extension, strategic stability and deterrence.
A System of Systems Enabling Exquisite ISR: For the military, object identification is a natural starting point for AI, as it requires culling images and information collected from satellites and drones to find things of military importance, such as missiles, troops, and other relevant intelligence information. The National Geospatial Intelligence Agency (NGA) has led the charge in applying AI to military and intelligence needs. But object identification is just the beginning. Intelligence, surveillance, and reconnaissance (ISR) is the key to multidomain situational awareness. This holistic awareness is increasingly critical as the battlefield extends to all domains—sea, land, air, space, and cyber—on a global scale.
Managing and making sense of the staggering amount of ISR data involved in modern warfare is a natural fit for AI—and the objective of DOD’s Project Maven, also known as the Algorithmic Warfare Cross-Functional Team. According to Lt. General Jack Shanahan, the director of Defense Intelligence for Warfighter Support, Project Maven was conceived as 「the spark that kindles the flame front for artificial intelligence across the rest of the department.」
Maven’s initial mission was to help locate ISIS fighters. Its implications, however, are vast. Multidomain warfare involves colossal amounts of heterogenous data streams that can be exploited only with the help of AI. Mirroring the proliferation of sensors in the civilian world, the multidomain, hybrid-warfare battlefield has become a military version of the internet of things, teeming with vital information for assessing tactical and strategic threats and opportunities. While the ability to manage this data colossus in real time promises tremendous advantages, failure to draw meaning from that information could spell disaster.
The ability to rapidly process a flood of information from various platforms operating in multiple domains translates into two fundamental military advantages: speed and range. Moving faster than your adversary enhances offensive mobility and makes you harder to hit. Striking from farther off adds the element of surprise and minimizes exposure to enemy fire. These were central tenets of the previous revolution inmilitary affairs that debuted in the Gulf War. AI makes it possible to analyze dynamic battlefield conditions in real time and strike quickly and optimally while minimizing risks to one’s own forces. As a recent Defense Science Boardstudy demonstrated, such integrated battle-management, command, control, communications, and intelligence (BMC3I) capabilities are well suited to finding and targeting deployed missile batteries. They may thus be the key to countering critical elements of the anti-access area denial (A2AD) strategies of Russia and China, which were designed to exploit the vulnerabilities of U.S. land and sea assets in Europe and Asia. In addition to geolocating targets, AI-enabled BMC3I could help guide and coordinate kinetic effects involving multiple platforms, possibly providing a counter to current adversarial A2AD. From this perspective, the cumulative effects of tactical level AI could become a strategic-level game changer.
Precision Targeting of Strategic Assets: AI-empowered ISR that makes it possible to locate, track, and target a variety of enemy weapons systems raises the possibility of striking strategic assets, such as aircraft carriers, mobile missiles, or nuclear weapons. This capability, and perceptions about its existence, could disrupt longheld assumptions about deterrence stability, especially if it appeared possible to conduct a disarming counter force strike against an adversary’s retaliatory forces. Offensive weapons that can 「find, fix, and finish」 a significant portion of an adversary’s strategic assets, combined with defensive systems that can shoot down remaining retaliatory capabilities, could challenge fundamental precepts of deterrence based on mutual vulnerability. Effective Missile Defense: Advances in AI-enhanced targeting and navigation have improved prospects for a wide range of tactical and strategic defense systems, especially ballistic-missile defenses, by empowering target acquisition, tracking, and discrimination. The convergence of powerful new offensive and defensive capabilities has rekindled fears, however, of a surprise attack that could rattle strategic stability.
AI Guided Cyber: As an inherently digital domain, the cyber realm naturally lends itself to AI applications, as illustrated by the centrality of AI algorithms in the code of social-media titans like Google and Facebook. The availability of enormous amounts of data in electronic formats is well suited to AI strengths. AI-guided probing, mapping, and hacking of computer networks can provide useful data for machine learning, including discovery of network vulnerabilities, identities, profiles, relationships, and other information that may be valuable for offensive and defense purposes. Chinese applications of AI for societal surveillance purposes arouse broad concerns about the implications for privacy and democracy, while Russian influence operations have demonstrated the vulnerability of social-media platforms to manipulation. On the offensive side, AI could locate and target particular nodes or individual accounts for collection, disruption, or disinformation. Cyberattacks on national command infrastructure and networks, for example, could be catastrophic. On the defensive side of the equation, AI can help detect such intrusions and search for debilitating anomalies incivilian and military operating systems. AI will equally empower offensive and defensive measures, with both positive and negative strategic effects. In sum, AI has great potential application in the military domain, at both the operational and strategic levels of war, and may enable significant new operational and strategic advantages as the United States and others exploit these technologies.