An analysis of 160 deepfake websites reveals politicians in 22 countries appear on them. Nearly all of them are women.
【数据】这一声明提供了具体数字(160个网站,22个国家),但'Nearly all'是一个模糊表述。需要核实确切比例和具体数字,以及分析方法的透明度。这关系到问题的严重性和规模评估。
An analysis of 160 deepfake websites reveals politicians in 22 countries appear on them. Nearly all of them are women.
【数据】这一声明提供了具体数字(160个网站,22个国家),但'Nearly all'是一个模糊表述。需要核实确切比例和具体数字,以及分析方法的透明度。这关系到问题的严重性和规模评估。
Adoption differences extend beyond discipline and career stage. We classify researcher names according to gender and find that those with typically male names have adopted coding agents at more than twice the rate of respondents with typically female names.
性别差异数据显示男性研究人员采用编码代理的比率是女性的两倍以上,这是一个显著的不平等现象。值得注意的是,这种差异不仅存在于总体样本中,即使在尝试过AI的研究者中仍然存在,表明这可能不仅仅是技术接触机会的差异,还可能与工作文化、职业发展压力等因素有关。
There are sharp disparities in use of coding agents. Twice as many researchers with typically male names use coding agents as those with female names. Researchers at top universities are 40% more likely than others to use coding agents.
性别差异(男性使用率是女性的两倍)和机构差异(顶尖大学研究人员使用率高40%)表明编码代理的采用存在显著不平等。这些差异不仅反映了技术获取的不平等,还可能反映了学术环境中的结构性不平等,值得进一步研究这些差异背后的原因。
Huge advances have been made in developing and building more capable models, driven by record investments—forecast by Gartner to grow to around $2.5 trillion in 2026 alone. In contrast, the investment in understanding how the technology works has been minuscule.
这一数据对比揭示了AI领域的一个令人惊讶的不平衡:巨额资金投入到构建更强大的AI系统,而用于理解这些系统如何工作的投资却微不足道。这种不平衡发展可能导致我们拥有强大但不透明的AI武器系统,而对其运作机制知之甚少。
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PISA 2018 student questionnaire show that also as regards computer accessat home there are relevant socio-economic differences across European countries.
PISA 2018
ew Research Centre also in 2019shows that there are striking differenc
access to broadband internet in US and Europe similar re socio-economic disparity
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I’ve actively participated in a revisionist sort of annotation that is part redaction/part revision in that I have gone through digital copies of some children’s books and in cases where it didn’t matter if the main character was male, I would actively use book editing software to make all the lead characters female for the sake of reading to girls. Often I’ve done this while reading out loud, but around the 1st/2nd grade level when children begin to read for themselves, physical annotations/revisions are required.
The title of her essay “White Privilege and Male Privilege: A Personal Account of Coming to See Correspondences Through Work in Women’s Studies” was a mouthful. McIntosh listed 46 ways white privilege is enacted.
To find a cure for what ails America, Chetty will need to understand all of this wild variation. Which factors foster opportunity, and which impede it? The next step will be to find local interventions that can address these factors—and to prove, with experimental trials, that the interventions work
I suspect that racial inequalities like Redlining, school support, and public housing issues (including evictions and predatory lending) will overlay these unmobile areas. cf Scarlet E series from On the Media.
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A radar station is of course less simple than a weather vane. To be sure, the construction of a high-frequency apparatus requires the interlocking of various processes of technical-industrial production. And certainly a sawmill in a secluded valley of the Black Forest is a primitive means compared with the hydroelectric plant on the Rhine River.
Heidegger notes that the disparity between two alike objects (simliar in function) from the technological time gap between them. For example, he states "A radar station is of course less simple than a weather vane," inferring to the huge technological gap between the two alike metrological instruments. More importantly, he states that that in order for the construction of a radar station, technological developments and production must mesh together. He maintains that a sawmill and hydroelectric plant are different technologically, but their purpose to generate hydropower via a large turbine influenced by water current is virtually unchanged throughout the centuries.
This result is consistent with analysis by the data science team at Quora, a site where users ask and answer questions. That team found that women use uncertain words and phrases more often than men do, even when they are just as confident.