Terminator and similar movies depict a world that is controlled by AI and robots. For the mainstream this may seem outlandish, but notable figures like Elon Musk have expressed considerable concern about this scenario becoming reality. The impeding threat however is not self conscious robots or AI, It is human misuse. There are many sub fields of AI including machine learning, Deep Learning, Speech Recognition/Natural language processing, image processing/computer vision, Facial recognition, etc. This article will specifically discuss facial recognition and its applications and implications.

终结者和类似的电影描绘了一个由AI和机器人控制的世界。 对于主流来说，这似乎有些古怪，但是像埃隆·马斯克(Elon Musk)这样的著名人物对这种情况成为现实表示了极大的担忧。 但是，阻碍性威胁不是自我意识的机器人或AI，而是人为滥用。 AI有很多子领域，包括机器学习，深度学习，语音识别/自然语言处理，图像处理/计算机视觉，面部识别等。本文将专门讨论面部识别及其应用和含义。

David Wong an American Humor Writer once said “New technology is not good or evil in and of itself. It’s all about how people choose to use it”.

美国幽默作家戴维·王(David Wong)曾说过：“新技术本身并不是好事或邪恶。 这与人们如何选择使用它有关。”

One of the promising use cases for Facial recognition is Facial Authentication and Security, where users no longer need to remember passwords or pin numbers which theoretically makes user accounts safer. Ensuring that the technology is used properly is of great importance, especially with the recent news of unauthorized data usage of Facebook users, etc. Other use cases include Helping the blind identify facial reactions(smiling, frowning) of people they communicate with, assisting in investigations, employing more secure financial transactions, and making air travel safer and more convenient.

面部识别的有前途的用例之一是面部认证和安全性 ，用户不再需要记住密码或密码，这从理论上讲使用户帐户更安全。 确保正确使用该技术非常重要，尤其是在最近有未经授权使用Facebook用户数据等新闻的情况下。其他用例包括帮助盲人识别与他们交流的人的面部React (微笑，皱眉)，调查，采用更安全的金融交易，并使航空旅行更安全，更便捷。

Google’s SVP Kent Walker stated that “Facial recognition technology has benefits in areas like new assistive technologies and tools to help find missing persons, with more promising applications on the horizon,” Walker writes. “However, like many technologies with multiple uses, facial recognition merits careful consideration to ensure its use is aligned with our principles and values, and avoids abuse and harmful outcomes…” . Areas of concern include user privacy, cybersecurity, autonomous weapons, etc. AI is an exciting field and there are new innovations every week, but we must also be conscious about the possible outcomes from the technology we create.

Google的高级副总裁肯特·沃克(Kent Walker)表示： “面部识别技术在诸如新型辅助技术和工具等方面具有优势，可帮助寻找失踪人员，并且还有更多有前途的应用，”沃克写道。 “但是，就像许多具有多种用途的技术一样，面部识别也需要仔细考虑，以确保其使用符合我们的原则和价值观，并避免滥用和有害后果……”。 令人关注的领域包括用户隐私，网络安全，自主武器等。人工智能是一个令人兴奋的领域，每周都有新的创新，但我们还必须意识到我们创造的技术可能带来的结果。

Some argue that it is a destruction of individuals right to privacy. It allows parties who control the facial image data to access other private data about the individual like location and residency. Governments with this technology can track all information about a person as well as all their activities. In the cities of China there are extremely accurate facial recognition cameras that every street and corner that keeps constant surveillance of its citizens.

有人认为这是对个人隐私权的破坏。 它允许控制面部图像数据的各方访问有关个人的其他私人数据，例如位置和居住地。 拥有此技术的政府可以跟踪有关一个人及其活动的所有信息。 在中国的城市中，每条街道和角落都有非常精确的面部识别摄像头，可以对其居民进行持续监视。

Police Departments around the country have started incorporating facial recognition technology in their investigative processes. On one hand this can help them catch criminals more quickly, however the technology is still not perfect and there have been many situations where the police have been led to arrest the wrong individuals because the technology provided incorrect results. Also its accuracy is highly dependent on race and ethnicity. Women of differing ethnic backgrounds than white, are more likely to be mis-categorized as men.

全国各地的警察部门已开始将面部识别技术纳入其调查过程。 一方面，这可以帮助他们更快地抓捕罪犯，但是该技术仍然不完善，在许多情况下，由于该技术提供了错误的结果，导致警察逮捕了错误的个人。 同样，其准确性在很大程度上取决于种族和种族。 与白人相比，不同种族背景的女性更有可能被误认为男性。

The U.S is going through a civil rights unrest because police are killing Black Americans for unjustifiable reasons at alarming rates and they often not held accountable. Many individuals are standing up against Police Brutality and protests have erupted all across the nation. With Facial recognition there is a concern about officials targeting protesters to arrest and make examples of. This is a genuine concern as several departments across the nation have already done this. Some cities and whole states are looking to ban the use of facial recognition tech among police departments because of the possibilities of misuse. While this happens protestors have found ways to obfuscate their faces in ways that throws off the detection mechanisms of the cameras.

美国正在经历一场民权骚乱，因为警察以不合理的理由以惊人的速度杀死了黑人，而且他们通常不承担责任。 许多人反对警察的残暴行径，全国各地都爆发了抗议活动。 有了面部识别，人们就对以抗议者为目标的逮捕和榜样官员感到担忧。 这是一个真正的问题，因为全国多个部门已经做到了。 由于滥用的可能性，一些城市和整个州都在禁止警察部门使用面部识别技术。 发生这种情况时，示威者已经找到了掩饰其面部表情的方式，从而摆脱了摄像机的检测机制。

Microsoft has taken it upon themselves to lead the way regarding regulations for Facial recognition software and AI in general. In 2010 Microsoft developed a great suite of Machine learning and AI services that allow large corporations, small teams, and to solo developers alike to utilize these tools simply by accessing Microsoft Cognitive Services Api’s.

微软已经亲自带领有关面部识别软件和AI的法规。 在2010年，Microsoft开发了一套出色的机器学习和AI服务，使大型公司，小型团队以及开发人员都可以通过访问Microsoft Cognitive Services Api来使用这些工具。

There are six main clauses Identified by Microsoft which determine ethical usage of the facial recognition software. They include Fairness, Transparency, Accountability, Non-discrimination, Notice and Consent, and Lawful Surveillance. In addition to the clauses there is a continuous vetting process to ensure these guidelines are met.

Microsoft确定了六个主要子句，这些子句确定了面部识别软件的道德用法。 它们包括公平，透明，问责，不歧视，通知和同意以及合法监视。 除了这些条款外，还有一个持续的审核过程以确保符合这些准则。

Google has been developing its own facial recognition technology for a while, but last year it announced that it will not be releasing its newly developed facial recognition technology to the public anytime soon, not until solid regulatory measures are first in place.

谷歌已经开发了自己的面部识别技术已有一段时间了，但是去年它宣布它将在不久的将来采取措施，除非首先采取严格的监管措施，否则不会很快将其新开发的面部识别技术向公众发布。

Timnit Gebru, a leader of Google’s ethical artificial intelligence team, explained why she believes that facial recognition is too dangerous to be used right now for law enforcement purposes. These are edited excerpts from our virtual discussion at the Women’s Forum for the Economy & Society on Monday.

Google道德人工智能团队的负责人Timnit Gebru解释了为什么她认为面部识别太危险而无法立即用于执法目的的原因。 这些摘录摘自我们周一在经济与社会妇女论坛上进行的虚拟讨论。

Moving forward we must be cautious of the advancement and wide-spread adoption of Facial Recognition and other technologies that have great promise and applicability, but could also have detrimental consequences due to misuse dishonest/incompetent parties or parties that do not grasp the full impact.

向前迈进，我们必须对面部识别和其他技术的进步和广泛采用持谨慎态度，这些技术具有巨大的希望和适用性，但由于滥用不诚实/不称职的政党或未充分理解政党的政党，也可能造成不利后果。

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