资讯：人类的偏见正蔓延至AI

Artificial intelligence built on mountains of potentially biased information has created a real risk of automating discrimination, but is there any way to re-educate the machines?
建立在大量潜在偏见信息之上的人工智能确实带来了自动歧视的风险，但有什么方法可以对机器进行重新教育呢？

The question for some is extremely urgent. In this ChatGPT era, AI will generate more and more decisions for health care providers, bank lenders or lawyers, using whatever was scoured from the internet as source material.
对于一些人来说，这个问题非常紧迫。 在这个 ChatGPT 时代，人工智能将使用从互联网上搜索到的任何内容作为源材料，为医疗保健提供者、银行贷款机构或律师做出越来越多的决策。

AI's underlying intelligence, therefore, is only as good as the world it came from, as likely to be filled with wit, wisdom, and usefulness, as well as hatred, prejudice and rants.
因此，人工智能的潜在智能取决于它所来自的世界，可能充满机智、智慧和有用性，也可能充满仇恨、偏见和咆哮。

"It's dangerous because people are embracing and adopting AI software and really depending on it," said Joshua Weaver, Director of Texas Opportunity & Justice Incubator, a legal consultancy.
“这很危险，因为人们正在拥抱和采用人工智能软件，并且真正依赖它，”法律咨询公司德克萨斯机会与正义孵化器主任约书亚韦弗说。

"We can get into this feedback loop where the bias in our own selves and culture informs bias in the AI and becomes a sort of reinforcing loop," he said.
他说：“我们可以进入这个反馈循环，我们自己和文化的偏见会影响人工智能的偏见，并成为一种强化循环。”

Making sure technology more accurately reflects human diversity is not just a political choice.
确保技术更准确地反映人类多样性不仅仅是一个政治选择。

ChatGPT-style generative AI, which can create a semblance of human-level reasoning in just seconds, opens up new opportunities to get things wrong, experts worry.
专家担心，ChatGPT 式的生成人工智能可以在短短几秒钟内创造出人类水平的推理能力，这为出错的机会提供了新的机会。

The AI giants are well aware of the problem, afraid that their models can descend into bad behavior, or overly reflect a western society when their user base is global.
人工智能巨头很清楚这个问题，担心他们的模型可能会陷入不良行为，或者当他们的用户群遍布全球时过度反映西方社会。

The huge models on which ChatGPT is built "can't reason about what is biased or what isn't so they can't do anything about it," cautioned Jayden Ziegler, head of product at Alembic Technologies.
Alembic Technologies 产品主管 Jayden Ziegler 警告说，ChatGPT 所基于的巨大模型“无法推理出什么是有偏见的，什么是没有偏见的，所以他们对此无能为力”。

For now at least, it is up to humans to ensure that the AI generates whatever is appropriate or meets their expectations.
至少目前，人类有责任确保人工智能生成合适的或满足他们期望的东西。