痛快！中国女生在顶级AI会议上回击MIT教授的歧视言论

不知道大家有没有看在场的一位中国女生对于这种MIT教授的提问，说话逻辑非常好，我听了好几遍，索性做了一个双语版的视频。

​下面这是对话内容，不是特别的精准，因为翻译过来的，但是主要内容是没问题的。

英文原文：

中国女生提问者：

okay thank you for giving me that chance.thanks for the good talk and uncovering the bad practices in AI research and raise awareness to preserve the reputation of this community as a whole. um but just throughout the presentation. I noticed that there's only one slide where you explicitly mention the nationality of the researcher that's about the Chinese students, but you also put a note that most of the Chinese students you met are honest and upright so I just have this question is it because most of the Chinese students are very good uh which caused the fact that whenever you notice one or two bad people that nationality especially caught your attention there um because there are other bad practices you mention but they didn't mention the nationality there yeah um. I hope that's true.

MIT 教授: 

let me clarify on that, that was not based on my judgment, that was based on the students quote, saying that the school was not teaching it, which meant that it applied to a lot of people from there. I have not seen that I put what I have seen which is all the Chinese people I've worked with have with actually the one exception I mentioned have been wonderful. so I'm very happy pro and maybe that's it maybe this one maybe their comment was who knows what I hope it was an outlier.

中国女生提问者：

yeah thanks for that clarification think that's also uh probably showing that these students are upright and honest. so that they give you this reflection but still I personally as a Chinese find that a bit offensive, because that's the only place where you explicitly mention nationality. although you've mentioned a lot of bad practices. I think it's important that we preserve a good reputation outside this community, but within this community we also raise awareness on unconscious bias and probably this racist problem. I hope in the future if you present this again, you can remove that nationality note because that seems unfair for this special group of people. 

MIT 教授：

Thank you so much for speaking up about that and I think I will take your advice and remove it. thank you very much

中文翻译：

中国女生提问者：

好的，谢谢你给我这个机会。谢谢你的精彩演讲，揭露了人工智能研究中的不良行为，并提高了人们的意识，维护了整个社会的声誉。我注意到，只有一张幻灯片明确提到了研究人员的国籍，那是关于中国学生的，但你也提到，你遇到的大多数中国学生都是诚实正直的，所以我有个问题，是不是因为大多数中国学生都很好，所以每当你注意到一两个坏人时，那个国籍就会特别引起你的注意，嗯，因为你还提到了其他一些不良行为，但他们并没有提到国籍，是的，嗯。我希望这是真的。

麻省理工学院教授：

让我澄清一下，那不是基于我的判断，那是基于学生的引述，说学校没有教，这意味着它适用于那里的很多人。我没有看到这种情况，我所看到的是，与我共事过的所有中国人，除了我提到的一个例外，都非常优秀。所以我很高兴，也许就是这样，也许这一个人，也许他们的评论是谁知道呢，我希望这是一个例外。

中国女生提问者：

谢谢你的澄清，我想这也说明了这些学生是正直和诚实的，所以他们才会给你这样的反映，但作为一个中国人，我个人还是觉得这有点冒犯，因为这是你唯一明确提到国籍的地方。我认为重要的是，我们要在社区外保持良好的声誉，但在社区内，我们也要提高对无意识偏见和可能存在的种族主义问题的认识。我希望以后如果你们再提出这个问题，可以去掉那个国籍的注释，因为这对这个特殊群体来说似乎是不公平的。

麻省理工学院教授：

非常感谢你能说出这个问题，我想我会采纳你的建议，删除它。

为什么出色呢？

专业性 (Professionalism)

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·表现: 回击以礼貌、冷静的语气展开，全程避免情绪化表达，没有直接指责对方，而是通过逻辑和提问引导对方反思。

· 

· 

·具体例子:

"Okay, thank you for giving me that chance. Thanks for the good talk and uncovering the bad practices in air research and raise awareness to preserve the reputation of this community as a whole."

·解释: 开篇先表达感谢，认可对方的努力。这种积极的开场降低了讨论的对抗性，同时为后续批评铺垫了良好的氛围。 

·

·

"I personally as a Chinese find that a bit offensive because that’s the only place where you explicitly mention nationality, although you’ve mentioned a lot of bad practices."

·解释: 用“personally”将观点归结为个人感受，而非全面指责，显得谦逊且理性，让对方更容易接受。

· 

建设性 (Constructiveness)

· 

·表现: 提供了清晰的逻辑推理，并提出了明确建议，而不是单纯表达情绪化的不满。

· 

· 

·具体例子:

"I hope in the future if you present this again, you can remove that nationality note because that seems unfair for this special group of people."

· 

"There are other bad practices you mention, but they didn’t mention the nationality there. Is it because most of the Chinese students are very good, which caused the fact that whenever you notice one or two bad people, that nationality especially caught your attention there?"

·解释: 通过提出一个开放性问题（open-ended question），引导对方自我反思。这种方法避免了直接批评，同时暗示了问题所在，使得沟通更有效。

· 

注重社区价值 (Community Values)

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·表现: 批评不仅限于个人感受，而是扩展到对整个学术社区（academic community）的影响，强调维护群体声誉的重要性。