IBM放弃了所有面部识别工作，以免被滥用

IBM放弃了所有面部识别工作，以免被滥用

Facial recognition could support mass surveillance and social scoring systems.

面部识别可以支持大规模监控和社会评分系统。

In a letter delivered to the United States Congress, IBM CEO Arvind Krishna has declared the company will no longer provide any form of general purpose facial recognition software.

在递交给美国国会的一封信中，IBM首席执行官阿文德·克里希纳宣布公司将不再提供任何形式的通用面部识别软件。

IBM also later confirmed it will halt all research and development activities associated with the controversial technology over concerns it can be misused.

IBM随后也证实，由于担心这项有争议的技术可能被滥用，它将停止与之相关的所有研发活动。

Facial recognition software

面部识别软件

While facial recognition technology has evolved dramatically in recent years and has the potential to assist in legitimate police investigations, its application has always been contentious.

尽管面部识别技术近年来发展迅速，有可能帮助警方进行合法调查，但它的应用一直存在争议。

Concerns about the opportunity for mass surveillance and social scoring are compounded by the issue of AI bias, which could see individuals discriminated against based on their physical attributes and is particularly problematic in the context of law enforcement.

人工智能偏差问题加剧了人们对大规模监控和社会评分机会的担忧。人工智能的偏见可能导致个人因身体特征而受到歧视，在执法过程中尤其成问题。

“IBM firmly opposes and will not condone uses of any technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with out values,” wrote Krishna.

克里希纳写道：“IBM坚决反对并不会纵容使用任何技术，包括其他供应商提供的面部识别技术，进行大规模监视、种族定性、侵犯基本人权和自由，或任何与外界价值观不符的目的。”。

“We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies.”

“我们认为，现在是时候开始一场全国性的对话，讨论面部识别技术是否应该被国内执法机构使用，以及如何使用。”

In 2018, IBM published a diversity-optimized data set for public use, designed to minimize bias in facial recognition products. But its latest announcement suggests the firm has reevaluated the viability of bias-free facial recognition software.

2018年，IBM发布了一套面向公众使用的多样化优化数据集，旨在将面部识别产品的偏差最小化。但其最新声明表明，该公司已经重新评估了无偏差面部识别软件的可行性。

Krishna is not proposing a blanket abandonment of AI, which he sees as pivotal to the future success of business, but rather reiterated earlier calls for transparency and responsible use.

克里希纳并不是提议彻底抛弃人工智能，他认为人工智能对商业未来的成功至关重要，而是重申了早些时候要求透明和负责任的使用人工智能的呼吁。

“Artificial intelligence is a powerful tool that can help law enforcement keep citizens safe. But vendors and users of AI systems have a shared responsibility to ensure that AI is tested for bias, particularly when used in law enforcement, and that such bias testing is audited and reported,” he said.

“人工智能是一个强大的工具，可以帮助执法部门保护公民的安全。但人工智能系统的供应商和用户有共同的责任，确保人工智能进行偏差测试，特别是在执法中使用时，这种偏差测试要进行审计和报告，”他说。