揭秘人工智能的五个“认知视域”目标不是取代人类智能，而是增强和放大人类决策
蓝色电路板背景上虚拟人 3dillustration 的双重曝光图像代表人工智能 AI 技术
∙Double exposure image of virtual human 3dillustration on blue circuit board background reprent artificial intelligence AI technology
Demystifying the five 'sights’ of artificial intelligence
The goal is not to replace human intelligence, it’s to augment and amplify human decisions.
人工智能作为一个技术类别已经变得如此广泛，以至于它几乎失去了所有意义。它涵盖了从聊天机器人到自动驾驶汽车再到终结者 2 中的场景的所有内容。
∙Artificial Intelligence as a tech category has become so broad that it’s nearly lost all meaning. It encompass everything from chatbots to autonomous vehicles to scenes from Terminator 2.
这种模糊性影响了人工智能在许多企业中的采用，并增加了对数据隐私保护和人工智能更大责任感的渴望。最近，拜登总统公布了一项人工智能权利法案，旨在为政府的人工智能制定人工智能框架和新标准。
∙This ambiguity impacts AI’s adoption across many business and increas the desire for data privacy protections and greater accountability in AI. Recently, President Biden unveiled an AI Bill of Rights designed to t an AI framework and new standards for AI in government.
那么，机构领导者如何负责任地、充满信心地推动 AI 向前发展呢？
∙So how can agency leaders move AI forward responsibly and with confidence?
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揭秘和定义 AI 能做什么或不能做什么是该过程的第一步。通过明确定义什么是人工智能，什么不是人工智能，可以消除误解，并自信地使用支持复杂任务的人工智能模型。
jigsawpuzzle∙So how can agency leaders move AI forward responsibly and with confidence?
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人工智能作为力量倍增器
∙AI as a Force Multiplier
人工智能是达到目的的手段，是政府机构和企业的推动者和力量倍增器，他们可以而且应该利用它来发挥自己的优势。今天使用的大多数人工智能解决方案让人类参与每项任务，以确保创造力、常识，在某些情况下，情商仍然是决策的核心。
∙生活用品英文AI is a means to an end, an enabler and force multiplier for government agencies and business who can and should u it to their advantage. Most of the AI solutions being utilized today keep humans involved in each task to ensure creativity, common n and, in some cas, emotional intelligence恻隐 remain central to decision-making.
尽管今天的人工智能无法像人类一样锻炼每一块肌肉，但它确实带来了五个重要的“视野”：后见之明、远见卓识、深入认知、全面认知和正确认知。充分了解这五个方面及其价值是实施 AI 能力以加速任务成果的关键，这些任务包括国家安全和疾病控制等复杂问题或服务台呼叫等例行事务。
∙Although today’s AI is unable to flex every human-like muscle, it does bring five importan
t “sights” to the table: hindsight, foresight, insight, oversight and rightsight. Fully understanding the five sights and their value is the key to operationalizing AI capabilities to accelerate mission outcomes in matters as complex as national curity and dia control or as routine as help desk calls.
人工智能的五个“认知”
∙AI’s Five “Sights”
认知一：后见之明
∙Sight One: Hindsight
了解过去：后见之明是最容易理解的人工智能。它使用历史数据提供关键的商业智能和运营环境。领导者可以事后诸葛亮，充分了解过去发生的事情，并进行比较和修正。考虑需要了解任何数量的基于纸张的应用程序的过去处理时间，以便利益相关者可以最大限度地提高新实施的数字系统的效率。AI 可以提供仪表板视图，而无需 Oracle 查询、数据调用和电子表格的麻烦，以快速强调比较并且没有知识差距。AI 的这一功能有助于将机构从静
态的时间点报告发展为能够加快决策速度的动态实时仪表板。
▪Understand the Past: Hindsight is the most accessible sight of AI. It provides critical business intelligence and operational context using historical data. Leaders can u hindsight to fully understand what happened in the past and make comparisons and cour corrections. Think of needing to understand past processing times for any number of paper-bad applications so stakeholders can maximize the efficiencies of newly implemented digital systems. AI can provide dashboard views without the hassle of Oracle queries, data calls and spreadsheets to underscore comparisons quickly and without knowledge gaps. This function of AI helps evolve agencies from static point-in-time reporting to dynamic, real-time dashboards that enable faster decision-making.
amount认知二：远见卓识更好地
∙Sight Two: Foresight
预测未来：远见通过使用机器学习的预测措施来预测未来可能发生的事情。它帮助机构实
现端到端的理解，以推动未来的运营和规划。例如，美国国家海洋和大气管理局 (NOAA) 可以使用风速和地热数据的预测模型来更早、更准确地预测飓风何时登陆，以确保做好准备。
∙Anticipate the Future印第安纳步行者队: Foresight predicts what may happen in the future by using forecasting measures via machine learning. It helps agencies achieve end-to-end understanding to drive future operations and planning. The National Oceanic and Atmospheric Administration (NOAA), for example, could u predictive modeling on wind speed and geothermal data to make earlier and more accurate predictions of when a hurricane will make landfall to ensure preparedness.
认知三：深入认知
∙Sight Three: Insight
塑造原因： 这个“景象”提供了关于某事可能发生的条件概率的观点；特别是有远见的预测。这种“视野”提供近乎实时的建议，以根据预期的约束和需求优化模型。它允许机构使
面板英文用定制解决方案的预测工具来引导业务决策朝着有利的结果方向发展。这有助于在危机时期（例如 COVID-19 大流行）评估劳动力影响并通过线性或贝叶斯优化等工具在当前和未来场景中定制运营。了解“原因”可以让机构对每个阶段进行规范，以避免瓶颈并预测对任务有效性的威胁。
∙Shape the Why: 同声传译收入This “sight” provides perspective on the conditional probability that something may happen; specifically what was predicted with foresight. This “sight” provides near-real-time suggestions to optimize models bad on anticipated constraints and demands. It allows agencies to steer business decisions toward favorable outcomes using predictive tools that tailor solutions. This can be helpful in times of crisis, such as the COVID-19 pandemic, to asss workforce impacts and tailor operations both in the moment and in future scenarios through tools like linear or Bayesian optimization. Understanding “the why’' allows agencies to get prescriptive with each pha to avoid bottlenecks and anticipate threats to mission effectiveness.
认知四：全面认知
∙Sight Four: Oversight
推动当下：人工智能为决策提供了通用的操作图和实时指标。数据融合结合了来自多个来源的数据，以提供洞察力和决策优势。这包括在不同的许可级别组织来自许多来源的复杂和敏感数据，以便为积极的后续步骤提供信息。互操作性和监督对于国防和情报机构至关重要，在这些机构中，高风险任务需要能够共同定位从传感器到开源情报的大量数据，以做出明智的战场决策。
