人工智能 (ARTIFICIAL INTELLIGENCE)

The debate on facial recognition, surveillance, and privacy continues with Canada the latest country to ban Clearview AI software. Clearview AI is under investigation in Canada for removing social media photos of people without their permission and experts caution this could erode privacy.

吨他面部识别 ，监控辩论和隐私与加拿大继续的最新国家禁止Clearview的人工智能软件。 加拿大正在对Clearview AI进行调查，以清除未经许可的人的社交媒体照片，专家警告说，这样做可能会破坏隐私。

The contract between Clearview AI and the Royal Canadian Mounted Police has been canceled in the latest attempts to protect individual privacy by the government of Canada. Similarly, investigations have started in Toronto and Quebec as pressure mounts on Clearview AI for their surveillance software.

为了保护个人隐私 ，加拿大政府最近一次试图取消Clearview AI与加拿大皇家骑警之间的合同。 同样，随着对Clearview AI监视软件的压力越来越大，调查也在多伦多和魁北克展开。

Are we ready for practical applications of artificial intelligence?

我们准备好进行人工智能的实际应用了吗？

Every industry is currently adopting AI solutions and marketing is one sector leveraging AI for optimization and revenue maximization. Machine learning and data analytics are supporting marketing efforts by driving data-driven decision-making.

当前，每个行业都在采用AI解决方案，而营销是利用AI进行优化和收益最大化的一个领域。 机器学习和数据分析通过推动数据驱动的决策制定来支持营销工作。

Enterprise adoption of AI for marketing is revolutionizing operations, as companies understand metrics such as consumer demand, ROI, and expenditure control.

随着公司了解诸如消费者需求，ROI和支出控制等指标，企业采用AI进行市场营销正在彻底改变运营。

The growth of artificial intelligence in the enterprise and consumer space depends on the success of start-ups in commercializing operations. Cambricon Technologies’ recent IPO is an example of accelerating AI start-ups to support the growth of the AI industry. The chip company based in China is going public with the recent IPO announcement and this is good news for the AI field.

人工智能在企业和消费者领域的增长取决于商业化运营中初创企业的成功。 康布雷康科技公司(Cambricon Technologies)最近的首次公开募股就是加速AI初创企业支持AI产业发展的一个例子。 这家总部位于中国的芯片公司将在最近的IPO公告中上市，这对于AI领域来说是个好消息。

These and more insights on our weekly AI update

这些和更多关于我们每周AI更新​​的见解

加拿大禁止Clearview AI (Canada bans Clearview AI)

Clearview AI will no longer sell its facial recognition software in Canada, according to government privacy officials investigating the company. The end of Clearview AI⁹ operations in Canada¹ will also mean the end of the company’s contract with the Royal Canadian Mounted Police

çlearview AI将不再出售在加拿大的面部识别软件 ，根据政府官员的隐私调查公司。 ClearviewAI⁹在加拿大的终止运营¹也将意味着该公司与加拿大皇家骑警的合同终止

Canadian privacy officials started investigating Clearview AI in February following media reports about the company’s practice of scraping billions of images from social media and the web without consent from the people in photos in order to create its facial recognition system. Critics say Clearview’s approach could mean the end of privacy.

加拿大媒体隐私官员于2月开始对Clearview AI进行调查，此前有媒体报道了该公司在未经人们同意的情况下从社交媒体和网络上抓取数十亿张图片以创建其面部识别系统的做法。 批评人士说，Clearview的方法可能意味着隐私的终结 。

Government officials from Quebec, British Columbia, and Alberta provinces continue to investigate Clearview AI and Royal Canadian Mounted Police use of its facial recognition software despite Clearview’s exit. Police in major cities like Toronto have also used Clearview AI software.

魁北克，不列颠哥伦比亚省和艾伯塔省的政府官员继续调查Clearview AI和加拿大皇家骑警使用其面部识别软件，尽管Clearview已退出。 多伦多等主要城市的警察也使用了Clearview AI软件。

数据驱动的营销方法 (Data-Driven approaches to Marketing)

Artificial intelligence seems to be the current business hot topic, including in marketing. It seems nearly impossible for any kind of marketing industry event to not have at least one panel discussion on the subject.

一个 rtificial智力似乎是目前的业务热点话题，其中包括市场营销。 对于任何一种营销行业活动，似乎几乎都没有至少一个专题讨论会是几乎不可能的。

The AI revolution in marketing² has been spurred by the influx of affordable and accessible advanced #dataanalytics tools, the availability of increasingly rich and extensive datasets, and a growing acceptance among marketers of the potential power of data-driven approaches to marketing decision making.

可负担和可访问的高级#dataanalytics工具的涌入，日益丰富和广泛的数据集的可用性以及市场营销人员对数据驱动方法进行市场决策的潜在能力的日益认可，激发了市场营销AI革命。

The winds have been blowing in this direction for some time, so this is not a new phenomenon. However, it seems that now we are at the point where almost everyone is talking about it and thinking hard about how AI can and will change how they do things.

风已经朝这个方向吹了一段时间，所以这不是新现象。 但是，现在看来，几乎每个人都在谈论这一点，并在认真思考AI如何并且将改变他们的工作方式。

AI生成的个人资料图片 (AI-Generated Profile Pictures)

A network of fictional journalists, analysts, and political consultants has been used to place opinion pieces favorable to certain Gulf states in a range of media outlets

虚构的记者，分析师和政治顾问的网络已被用来代替意见件有利于某些海湾一系列的媒体声明

At least 19 fake personas were used to author op-eds published in dozens of mainly conservative publications, with AI-generated headshots³ of would-be authors used to trick targets into believing the writers were real people.

至少有19个伪造的人物角色被用来撰写在数十种主要是保守的出版物中发表的文章，而AI生成的准作者头像 ³被用来欺骗目标对象，使他们相信作者是真实的人。

It is not the first time AI has been used in this way, though it is unusual to see #machinelearning tech deployed for online misinformation in the wild. Last year, a report from The Associated Press found a fake profile on LinkedIn, part of a network of likely spies trying to make connections with professional targets, that also used an AI-generated headshot.

这不是第一次以这种方式使用AI，尽管看到#machinelearning技术被广泛用于野外在线错误信息并不常见。 去年，美联社的一份报告在LinkedIn上发现了一个虚假的个人资料，该个人资料可能是间谍网络的一部分，试图与专业目标建立联系，并使用了AI生成的头像。

AI-generated profile pictures created by sites like ThisPersonDoesNotExist have some unique advantages when it comes to building fake online personas. The most important characteristic is that each image is uniquely generated, meaning they cannot be traced back to a source picture using a reverse image search.

当构建假的在线角色时，由ThisPersonDoesNotExist这样的网站创建的AI生成的个人资料图片具有一些独特的优势。 最重要的特征是每个图像都是唯一生成的，这意味着无法使用反向图像搜索将其追溯到源图片。

However, the current generation of AI headshots is not flawless. They share a number of common tells, including odd-looking teeth, asymmetrical features, and indistinct background imagery

但是，当前一代的AI头像并不是完美无缺的。 它们具有许多共同的诉说，包括奇特的牙齿，不对称的特征和模糊的背景图像

人工智能初创公司上市 (AI Start-ups going Public)

Cambricon Technologies¹⁰, one of China’s most valuable artificial intelligence chip start-ups, said it will raise $367.7 million in its Shanghai initial public offering.

中国最有价值的人工智能芯片初创公司之一， C ambriconTechnologies¹表示，它将在上海首次公开募股中筹集3.677亿美元。

The company is offering 40.1 million new shares through its listing on Shanghai’s Star Market, according to its prospectus released on Tuesday. This will make up about 10 percent of its total shares after the IPO, the prospectus added.

根据周二发布的招股说明书，该公司将通过在上海星空市场上市发行4010万股新股。 招股说明书补充说，这将占首次公开募股后总股本的10％。

Cambricon’s IPO values the company at 25.7 billion yuan, or 58.03 times its 2019 earnings, above the average price-to-sales ratio of 34.54 for five of its China-listed peers, according to the prospectus. The Beijing-based company did not immediately respond to a request for comment.

招股说明书显示，Cambricon的IPO估值为257亿元人民币，是其2019年收益的58.03倍，高于五家在中国上市的同行的平均市销率34.54。 这家位于北京的公司没有立即回应置评请求。

Founded by brothers Chen Yunji and Chen Tianshi in 2016, Cambricon’s chips have been used to power nearly 100 million smartphones and servers including those by Huawei Technologies and the Post’s parent company, Alibaba Group Holding, the Chinese Academy of Sciences said last year.

中国科学院去年表示，Cambricon的芯片由Chen Yunji和Chen Tianshi兄弟于2016年创立，已被用于为近1亿部智能手机和服务器提供支持，其中包括华为技术有限公司和邮政的母公司阿里巴巴集团控股公司。

虚拟历史人物的模拟对话 (Simulated Conversations with Virtual Historical Figures)

Have you ever wanted to pick the brains of Sir Isaac Newton, Mary Shelley, or Benjamin Franklin? Now you can, thanks to a new experiment by magician and novelist Andrew Mayne.

等皆你曾经想挑艾萨克·牛顿爵士，玛丽·雪莱，或本杰明·富兰克林的大脑？ 现在，由于魔术师和小说家安德鲁·梅恩 ( Andrew Mayne)进行的一项新实验，您可以了。

The project — called AI|Writer — uses OpenAI’s new text generator API to create simulated conversations⁴ with virtual historical figures. The system first works out the purpose of the message and the intended recipient by searching for patterns in the text. It then uses the API‘s internal knowledge of that person to guess how they would respond in their written voice.

这个名为AI | Writer的项目使用OpenAI的新文本生成器API来创建带有虚拟历史人物的模拟对话⁴。 系统首先通过搜索文本中的模式来确定消息的目的和预期的收件人。 然后，它将使用该人的API内部知识来猜测他们将如何以书面声音做出回应。

The digitized characters can answer questions about their work, explain scientific theories, or offer their opinions. For example, Marie Curie gave a lesson on radiation, H.G. Wells revealed his inspiration for The Time Machine, while Alfred Hitchcock compared Christopher Nolan’s Interstellar to Stanley Kubrick’s 2001.

数字化角色可以回答有关其工作的问题，解释科学理论或发表意见。 例如，玛丽·居里(Marie Curie)讲授辐射课程，HG威尔斯(HG Wells)揭示了他对《时光机》的灵感，而阿尔弗雷德·希区柯克(Alfred Hitchcock)将克里斯托弗·诺兰(Christopher Nolan)的《星际穿越》(Interstellar)与斯坦利·库布里克(Stanley Kubrick)的2001年作了比较。

The characters could also compare their own eras with the present day. When Jane Austen was asked how her characters would use social media in the 21st century.

角色还可以将自己的时代与今天进行比较。 当被问到简·奥斯丁时，她的角色将如何在21世纪使用社交媒体。

算法驱动的人工智能 (Algorithm-Driven Artificial Intelligence)

Digital life is augmenting human capacities and disrupting eons-old human activities. Code-driven systems have spread to more than half of the world’s inhabitants in ambient information and connectivity, offering previously unimagined opportunities and unprecedented threats.

d igital生活增强人的能力和破坏亿万年之久的人类活动。 代码驱动的系统已经在环境信息和连接方面普及到全球一半以上的居民，提供了以前无法想象的机会和前所未有的威胁。

As emerging #algorithm-driven artificial intelligence continues to spread, will people be better off than they are today?

随着新兴的＃算法驱动的人工智能的继续传播，人们的生活会比今天更好吗？

Some 979 technology pioneers, innovators, developers, business and policy leaders, researchers and activists answered this question in a canvassing of experts conducted in the summer of 2018.

2018年夏天，约979名技术先驱，创新者，开发人员，商业和政策领导人，研究人员和活动家回答了这个问题。

The experts predicted networked artificial intelligence⁵ will amplify human effectiveness but also threaten human autonomy, agency and capabilities.

专家们预测，联网的人工智能将增强人类的效能，但同时也威胁着人类的自主权，代理权和能力。

They spoke of the wide-ranging possibilities; that computers might match or even exceed #humanintelligence and capabilities on tasks such as complex decision-making, reasoning and learning, sophisticated analytics and pattern recognition, visual acuity, speech recognition and language translation.

他们谈到了广泛的可能性。 计算机在某些方面的能力可能达到甚至超过＃人的智能和能力，例如复杂的决策，推理和学习，复杂的分析和模式识别，视敏度，语音识别和语言翻译。

2020年世界AI会议 (The World AI Conference 2020)

World AI Conference 2020 goes live on July 9–11. Organized by the Shanghai government, the annual World Artificial Intelligence Conference (WAIC)’s mission is to provide a global platform for current and future AI innovation startups⁶ and corporates to exchange ideas and resources in pursuit of humankind’s greatest technological achievements.

W¯¯年世界AI大会2020上线七月9-11所示。 由上海市政府组织的年度世界人工智能大会(WAIC)的任务是为当前和未来的AI创新初创企业提供全球平台 与公司交流思想和资源，以追求人类的最大科技成就 。

Unlike the previous two conferences, which were held onsite in Shanghai, WAIC 2020 will be held online from July 9 to 11 due to the Covid-19 pandemic. However, this will not change the conference’s core mission and objectives. This year’s conference will take advantage of its online component by offering a series of online interactive activities and virtual platforms.

与前两次在上海现场举行的会议不同，由于Covid-19大流行，WAIC 2020将于7月9日至11日在网上举行。 但是，这不会改变会议的核心使命和目标。 今年的会议将通过提供一系列在线互动活动和虚拟平台来利用其在线组件。

With the theme “Intelligent Connectivity, Indivisible Community,” WAIC 2020 aims to gather prominent experts from all over the world to discuss AI technology — its development, its applications, its trends, and how AI can better serve humanity for good.

WAIC 2020的主题是“智能连通性，不可分割的社区”，旨在吸引来自世界各地的著名专家来讨论AI技术 -它的发展，应用，趋势以及AI如何更好地为人类服务。

This year’s online conference consists of one exhibition platform that will showcase products and services from more than 100 exhibitors, an opening ceremony, two plenary sessions, 10 thematic side stages, many industrial side stages, including both live and recorded content.

今年的在线会议包括一个展示平台，该平台将展示来自100多家参展商的产品和服务，开幕式，两次全体会议，10个主题环节，许多工业环节，包括现场和录制内容。

机器学习预测COVID-19感染 (Machine-Learning Predicting COVID-19 Infections)

The task of controlling the #COVID19 pandemic nationwide and predicting where cases will spike next and which areas may have high mortality rates remains daunting for scientists and public officials.

控制＃COVID19流行全国，并预测在那里的情况下将秒杀未来和地区可能有较高的死亡率依然十分艰巨的科学家和政府官员的吨他的任务。

A new machine learning tool developed by researchers at a startup company (Akai Kaeru LLC) affiliated with Stony Brook University’s Department of Computer Science and the Institute for Advanced Computational Science (IACS)may help gauge areas most at risk for the virus and high death rates.

由石溪大学计算机科学系和高级计算科学研究所(IACS)所属的初创公司(Akai Kaeru LLC)的研究人员开发的一种新的机器学习工具可以帮助确定最易受病毒感染和高死亡率的地区。

The software they use analyzes a massive data set from all 3,007 U.S. counties. They found that combinations of factors such as poverty, rural settings, low education, low poverty but housing debt, and sleep deprivation are associated with higher death rates in counties.

他们使用的软件分析了来自美国3,007个县的大量数据。 他们发现，诸如贫困，农村环境，低教育程度，低贫困但住房债务和睡眠不足等因素与县内较高的死亡率相关。

The researchers use an automatic pattern mining engine and software to analyze a data set with approximately 500 attributes, which cover details related to demographics, economics, race and ethnicity, and infrastructure in all U.S. counties. After analyzing and assessing the data within counties they created nearly 300 sets of counties at a “high risk” for COVID-19 and related death rates.

研究人员使用自动模式挖掘引擎和软件来分析具有大约500个属性的数据集，其中涵盖与美国所有县的人口统计，经济，种族和民族以及基础设施有关的详细信息。 在对县内的数据进行分析和评估之后，他们创建了近300个县，这些县的COVID-19和相关死亡率处于“高风险”。

企业人工智能 (Enterprise Artificial Intelligence)

Executive involvement in enterprise #artificialintelligence initiatives is growing rapidly and more emphasis is being placed on high-quality training data. Both C-suite ownership of AI and budgets over $500K nearly doubled in 2020 due to the COVID-19 pandemic serving as a catalyst for accelerated AI initiatives⁷.

在企业#artificialintelligence举措éxecutive参与发展Swift，更强调的是被放置在高品质的训练数据。 由于COVID-19大流行是加速AI计划的催化剂，2020年AI的最高管理层所有权和超过50万美元的预算几乎翻了一番。

A key lesson learned from the pandemic is that businesses need to be ready for anything that requires a high level of business agility. It’s Darwinism at its finest as businesses that can adapt to market trends faster than their competition can become market leaders and maintain that position. Those that can’t do this will fade into obscurity with many going away.

从大流行中吸取的一个重要教训是，企业需要为需要高度业务敏捷性的一切做好准备。 达尔文主义的精髓在于，企业能够比竞争对手更快地适应市场趋势，从而成为市场领导者并保持这一地位。 那些无法做到这一点的人会随着许多人的消失而变得晦涩难懂。

But how do business leaders even know what decisions to make? There is a massive amount of data to be analyzed and people can’t process the information fast enough to find those key insights that drive business change.

但是企业领导者怎么知道该做出什么决定呢？ 有大量的数据需要分析，人们无法足够快地处理信息来寻找那些推动业务变革的关键见解。

Machines can work at infinitely higher speed and the pressure on the C-suite has never been higher. Now the execs are turning to AI to help them make the best decisions in as short a time as possible.

机器可以无限高的速度工作，而对C套件的压力从未如此高。 现在，高管们正在转向人工智能，以帮助他们在尽可能短的时间内做出最佳决策。

针对COVID-19的集体和增强情报 (Collective and Augmented Intelligence Against COVID-19)

The Future Society, the Stanford Institute for Human-Centered Artificial Intelligence, UNESCO, and the Patrick J. McGovern Foundation today announced the launch of the Collective and Augmented Intelligence Against COVID-19 (CAIAC).

吨他未来社会中，斯坦福大学以人为本的人工智能，联合国教科文组织和麦戈文基金会今天宣布推出集体和增强智能反对COVID-19(CAIAC)的。

The alliance aims to build an AI-powered pandemic decisioning tool⁸ for policymakers, health care leaders, and scientists. CAIAC, which will be advised by United Nations-affiliated organizations including UN Global Pulse, will attempt to structure the fast-expanding collection of health, social, and economic data on the pandemic through collaborations with companies like Stability, C3, Element AI, Axis, GLG, and Planet.

该联盟旨在构建一个由AI驱动的大流行决策工具 ⁸ 适用于决策者，卫生保健负责人和科学家。 CAIAC将在与联合国，全球稳定组织，C3，Element AI，Axis等公司合作的情况下，通过联合国附属组织(包括UN Global Pulse)的建议，尝试构建关于大流行的快速增长的健康，社会和经济数据收集，GLG和Planet。

Research institutions, companies, and non-governmental organizations have rushed to apply analyses and models to data on the pandemic from countries around the world. Indeed, the number of studies about COVID-19 has risen steeply from the start of the crisis, from around 20,000 in early March to over 30,000 as of late June.

研究机构，公司和非政府组织已急于将分析和模型应用于来自世界各国的大流行数据。 确实，从危机开始以来，有关COVID-19的研究数量就急剧增加，从3月初的约20,000增至6月下旬的30,000。

Some false information has been promoted on social media and in publication venues like journals. And almost as bad, many results about the virus from different labs and sources are redundant, complementary, or even conflicting.

一些虚假信息已经在社交媒体和期刊等出版场所得到推广。 几乎同样糟糕的是，来自不同实验室和来源的有关该病毒的许多结果都是多余的，互补的甚至是矛盾的。

参考文献 (Works Cited)

¹Clearview AI operations in Canada, ²AI Revolution in Marketing, ³AI-generated headshots, ⁴Simulated Conversations, ⁵Artificial Intelligence, ⁶AI innovation startups, ⁷AI initiatives, ⁸AI-Powered Pandemic Decisioning Tool

¹ 加拿大的Clearview AI运营 ，²AI 营销革命 ，³AI 生成的头像 ，⁴ 模拟对话 ，⁵ 人工智能 ，⁶AI 创新创业公司 ，⁷AI 计划 ，⁸AI 驱动的大流行决策工具

公司介绍 (Companies)

⁹Clearview AI, ¹⁰Cambricon Technologies

⁹Clearview AI和¹⁰Cambricon Technologies

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