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English(EN) The Data Behind AI Isn’t All Behind Closed Doors Dr. Julian Posada explains why some datasets used for AI are proprietary while others are openly available for

AI数据集:专有与公开的对比及其影响

Julian Posada博士讨论了用于人工智能开发的数据集可访问性的差异。他强调,一些AI数据集是专有的,被保密保存,而另一些则可公开获取,用于模型的训练和基准测试。Posada博士还谈到了扩大这些数据集内部代表性的努力以及对AI底层劳动力的更广泛影响。 AI

影响 了解数据集的可访问性对于旨在实现更广泛代表性和公平性的AI研究人员和开发人员至关重要。

排序理由 该条目是关于AI数据集的讨论,而非发布或重要的行业事件。

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AI数据集:专有与公开的对比及其影响

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该条目是关于AI数据集的讨论,而非发布或重要的行业事件。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · theinternetiscrack ·

    人工智能背后的数据并非都“闭门不出” Julian Posada博士解释了为何一些用于人工智能的数据集是专有的,而另一些则可公开获取

    The Data Behind AI Isn’t All Behind Closed Doors Dr. Julian Posada explains why some datasets used for AI are proprietary while others are openly available for training and benchmarking—and why researchers have worked to broaden what those datasets represent. Our full conversatio…