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厉害极了! 人工智能可凭一张照片判断性取向!|亚博网页版登录


本文摘要:Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research suggesting that machines can have significantly better gaydar than humans.一项新的研究说明,人工智能技术能够根据人脸照片精确辨识出有这个人是平男還是同性恋者,该研究强调,设备的“gay约”(朋友雷达探测)比人们精准得多。

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Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research suggesting that machines can have significantly better gaydar than humans.一项新的研究说明,人工智能技术能够根据人脸照片精确辨识出有这个人是平男還是同性恋者,该研究强调,设备的“gay约”(朋友雷达探测)比人们精准得多。The study from Stanford University – which found that a computer algorithm could correctly distinguish between gay and straight men 81% of the time, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology and the potential for this kind of software to violate peoples privacy or be abused for anti-LGBT purposes.此项斯坦福学校的研究寻找,算法设计能区分平男与同性恋者,准确率达到81%,对女性性取向分辨的准确率为74%。这一研究造成了大家对性向的分子生物学发源、面部识别高新科技的道德伦理及其该类手机软件对私人信息有可能造成 的损害,或被诈骗于宣扬同性恋者、双性恋及人妖人群等难题的异议。

The machine intelligence tested in the research, which was published in the Journal of Personality and Social Psychology and first reported in the Economist, was based on a sample of more than 35,000 facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using deep neural networks, meaning a sophisticated mathematical system that learns to analyze visuals based on a large dataset.此项研究首次被《经济学人》报道,并公布发布在《人格与社会心理学》杂志期刊上。这类人工智能技术剖析了英国某交友平台上公布发布发布的35000好几张男人女人脸部图象样版。研究工作人员乔治·科辛斯基和Yilun Wang运用“深层次神经元网络”从图象中提纯涉及到性別特点,这是一个从很多数据信息初中不容易视觉效果剖析的简易数学课系统软件。

The research found that gay men and women tended to have gender-atypical features, expressions and grooming styles, essentially meaning gay men appeared more feminine and vice versa. The data also identified certain trends, including that gay men had narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to straight women.研究寻找,同性恋者男人女人通常具有“非典型性别”特点、小表情和“打扮设计风格”,换句话说男同性恋一般趋于女性化,而女同性相反。研究数据信息还找到一些别的发展趋势,如男同性恋的下颌比钢铁直男更为较宽,鼻部更长,额头更为长。

而同性恋者女性相比直女下颌更为长,额头更为较宽。Human judges performed much worse than the algorithm, accurately identifying orientation only 61% of the time for men and 54% for women. When the software reviewed five images per person, it was even more successful – 91% of the time with men and 83% with women. Broadly, that means faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain, the authors wrote.人们在这些方面的的鉴别展示出远逊设备优化算法,其鉴别男性性向的准确率仅有所为61%,女性的为54%。当人工智能技术手机软件必须网页页面5张检测目标的相片时,准确率则高些:对男性性向鉴别的准确率为91%,对女性的为83%。

研究工作人员在毕业论文中提到,从理论上谈,这意味著“人们脸孔包含的性取向信息内容比人类大脑能够感观和了解的更强”。The paper suggested that the findings provide strong support for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machines lower success rate for women also could support the notion that female sexual orientation is more fluid.原文中觉得,有基础理论强调胎宝宝出生于前了解到的一些生长激素规定了其性向,换句话说同性恋者是与生俱来的,而不是后天性的随意选择,该研究結果答复获得了“强有力抵制”。

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而设备针对女性性向辨识通过率较低的状况,则证实了女性性取向更加易失的各不相同。While the findings have clear limits when it comes to gender and sexuality – people of color were not included in the study, and there was no consideration of transgender or bisexual people – the implications for artificial intelligence (AI) are vast and alarming. With billions of facial images of people stored on social media sites and in government databases, the researchers suggested that public data could be used to detect peoples sexual orientation without their consent.尽管研究結果对性別和性征有明显的局限性,非裔没被划归研究,而转性者和双性恋也没划归考虑,但这早就说明了人工智能技术的巨大危害,并给人们传来了敲警钟。社交媒体和政府部门数据库查询中储存了数十亿人像图片,研究工作人员强调这种云计算平台都是有很有可能在给予自己完全同意的状况下,被别人用于进行性取向辨识。Its easy to imagine spouses using the technology on partners they suspect are closeted, or teenagers using the algorithm on themselves or their peers. More frighteningly, governments that continue to prosecute LGBT people could hypothetically use the technology to out and target populations. That means building this kind of software and publicizing it is itself controversial given concerns that it could encourage harmful applications.显而易见,夫妇很有可能会用此项技术性检测被她们猜想是浅柜的另一半,青少年儿童还可以用以这类优化算法来辨识自身和同年龄人。

更加恐怖的是,一些对LGBT人群进行法律制裁的我国很有可能会运用该技术性令人恋情。这表述产品研发并公布发布该类手机软件的不负责任自身不会有异议,由于这很有可能会导致有不良影响的系统软件经常会出现。But the authors argued that the technology already exists, and its capabilities are important to expose so that governments and companies can proactively consider privacy risks and the need for safeguards and regulations.但该毕业论文的创作者答复,这种技术性早已不会有,曝出其作用很重要,由于那样政府部门和企业才可以积极瞩目其隐私保护风险性,及其进行管理方法避免的重要性。Its certainly unsettling. Like any new tool, if it gets into the wrong hands, it can be used for ill purposes, said Nick Rule, an associate professor of psychology at the University of Toronto, who has published research on the science of gaydar. If you can start profiling people based on their appearance, then identifying them and doing horrible things to them, thats really bad.多伦多大学社会心理学专家教授尼克斯·鲁尔曾公布发布过有关“朋友雷达探测”的研究。

他答复:“这自然是令人恐怖的,它如同一切新的专用工具一样,假如心肠坏的人得到 它,就不容易用于做错事。如果我们刚开始以表面来剖析一个人,从而下结论鉴别,并对她们做出恐怖的事儿,那么就过度很差了。


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