IBM放棄了所有面部識別工作，以免被濫用

IBM放棄了所有面部識別工作，以免被濫用

Facial recognition could support mass surveillance and social scoring systems.

面部識別可以支持大規(guī)模監(jiān)控和社會評分系統(tǒng)。

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.

在遞交給美國國會的一封信中，IBM首席執(zhí)行官阿文德·克里希納宣布公司將不再提供任何形式的通用面部識別軟件。

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

IBM隨后也證實，由于擔心這項有爭議的技術可能被濫用，它將停止與之相關的所有研發(fā)活動。

Facial recognition software

面部識別軟件

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.

盡管面部識別技術近年來發(fā)展迅速，有可能幫助警方進行合法調(diào)查，但它的應用一直存在爭議。

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.

人工智能偏差問題加劇了人們對大規(guī)模監(jiān)控和社會評分機會的擔憂。人工智能的偏見可能導致個人因身體特征而受到歧視，在執(zhí)法過程中尤其成問題。

“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.

克里希納寫道：“IBM堅決反對并不會縱容使用任何技術，包括其他供應商提供的面部識別技術，進行大規(guī)模監(jiān)視、種族定性、侵犯基本人權和自由，或任何與外界價值觀不符的目的。”。

“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.”

“我們認為，現(xiàn)在是時候開始一場全國性的對話，討論面部識別技術是否應該被國內(nèi)執(zhí)法機構使用，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發(fā)布了一套面向公眾使用的多樣化優(yōu)化數(shù)據(jù)集，旨在將面部識別產(chǎn)品的偏差最小化。但其最新聲明表明，該公司已經(jīng)重新評估了無偏差面部識別軟件的可行性。

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.

克里希納并不是提議徹底拋棄人工智能，他認為人工智能對商業(yè)未來的成功至關重要，而是重申了早些時候要求透明和負責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.

“人工智能是一個強大的工具，可以幫助執(zhí)法部門保護公民的安全。但人工智能系統(tǒng)的供應商和用戶有共同的責任，確保人工智能進行偏差測試，特別是在執(zhí)法中使用時，這種偏差測試要進行審計和報告，”他說。