首页> 外文期刊>Signal >Sorting Fact From Fiction in Intelligence
【24h】

Sorting Fact From Fiction in Intelligence

机译:从智力的小说中排序事实

获取原文
获取原文并翻译 | 示例
           

摘要

Intelligence challenges are continually evolving, but the challenges of the past pale in comparison to the depth and breadth of todays trials. The problem is not a shortage of data or information; rather, the test is sifting through the unfathomable amounts of data and determining its veracity and relevance amidst both organized and anarchistic disinformation. Diogenes would be hopelessly befuddled in his search for truth in today's society, but intelligence cannot afford to allow mis-truths to shape its findings. The COVID-19 pandemic has brought to the fore several underlying issues that otherwise might not have received appropriate attention. Society at large is operating in a restricted information environment as the coronavirus reigns. Education and telework, among many areas, often depend on the same base information infrastructure that supports the intelligence community as well as the entire country. That infrastructure is both vulnerable to adversaries and susceptible to failure owing to the lack of robustness and heretofore unattended vulnerabilities. One lesson we've learned from COVID-19 is that regardless of the nature of the workforce, whether academia, civilian or government, people must be able to work from diverse and often remote and underserviced locations if we are to address our national security needs and apply our intellectual talents.
机译:情报挑战是不断发展的,但与今天试验的深度和广度相比,过去苍白的挑战。问题不是数据或信息的不足;相反,测试正在筛选通过不可解的数据量,并在有组织和无政府主义的虚构中确定其准确性和相关性。在当今社会中,Diogenes将无可救药地在寻求真理中遭到困惑,但智力无法承担误判真理来塑造其发现。 Covid-19大流行已经带来了几个潜在的问题,否则可能没有得到适当的关注。随着Coronavirus统治的,大型社会在受限制的信息环境中运作。在许多领域,教育和远程工作通常依赖于支持情报界和整个国家的相同基础信息基础设施。由于缺乏稳健性和迄今为止无人值守的漏洞,这既容易受到对手的群体,并且易于失败。我们从Covid-19学到的一课是,无论劳动力的性质如何,无论是学术界,民用或政府,人们都必须能够从多样化,经常偏远的地方工作,如果我们要解决我们的国家安全需求并应用我们的智力人才。

著录项

  • 来源
    《Signal》 |2020年第1期|13-13|共1页
  • 作者

    ROBERT M. SHEA;

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号