谷歌圖像識別AI將不再識別人物性別大綱
Google has announced that its image recognition AI will no longer identify people in images as a man or a woman. The change was revealed in an email to developers who use the company's Cloud Vision API that makes it easy for apps and services to identify objects in images.
谷歌宣佈，其圖像識別人工智能將不再識別圖像中人物的性別。在發給使用谷歌雲視覺API的開發者的一封郵件中，谷歌透露了這一改變，谷歌的API使應用程序和服務可以更容易地識別圖像中的物體。
In the email, Google said it wasn't possible to detect a person's true gender based simply on the clothes they were wearing. But Google also said that they were dropping gender labels for another reason: they could create or reinforce biases. From the email:
谷歌在郵件中表示，只通過一個人的衣着是無法判斷其真實性別的。但谷歌也表示，他們摘掉性別標籤還有另一個原因：那就是性別標籤可能會製造或增加偏見。郵件中寫道：
Given that a person's gender cannot be inferred by appearance, we have decided to remove these labels in order to align with the Artificial Intelligence Principles at Google, specifically Principle #2: Avoid creating or reinforcing unfair bias.
鑑於通過外表並不能推斷出一個人的性別，我們決定去掉這些標籤，以與谷歌的人工智能準則保持一致，特別是第二項原則：避免製造或增加不公平的偏見。
As for what Google's second AI principle states, it says:
谷歌的第二項人工智能準則指出：
AI algorithms and datasets can reflect, reinforce, or reduce unfair biases. We recognize that distinguishing fair from unfair biases is not always simple, and differs across cultures and societies. We will seek to avoid unjust impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief.
人工智能算法和數據集可以反映、增加或減少不公平的偏見。我們意識到，區分公平和不公平的偏見並不總是容易的，而且在不同的文化和社會中也會有所不同。我們會努力避免對人們產生不公平的影響，特別是那些與敏感特徵有關的影響，如種族、民族、性別、國籍、收入、性取向、能力以及政治或宗教信仰。
Instead of labeling someone a man or woman in an image, that individual will now just be classified as a "person" by Google's Cloud Vision API image recognition tools. The move should be a welcome step in the right direction for those who have long pointed out that Google and other tech companies' systems have an issue correctly categorizing people who identify as trans. Per Business Insider's testing, it appears that the labeling changes have already taken place, so developers who use the API should see the changes immediately.
如今，在谷歌的雲視覺API圖像識別工具中，人們在圖像中不會被貼上性別標籤，而是被歸類爲“人”。長期以來一直有人指出，谷歌和其他科技公司的系統在正確判定變性人方面存在問題。對他們而言，谷歌的這一舉動可以說是朝正確的方向邁出的可喜的一步。根據Business Insider的測試，谷歌的標籤似乎已經產生了變化，因此使用API的開發人員應該也能即刻看到這種改變。
