展示HN：huby的AI产品评估方法论
目前有许多人工智能基准测试，但我觉得它们在评估人工智能产品时并不实用。几个月前，我们开始设计一种方法论，以独立评估人工智能产品。在进行了一些研究后，我们在几个不同类别的产品上测试了该方法论并进行了改进。
如果您对此领域感兴趣，能否请您审阅这套方法论并给予我们反馈？关于方法论结构的简要介绍——它是一个三层框架，首先包括六个高层次的评估类别（质量、安全、隐私与安全、使用案例与定价、可持续性与生态系统、影响与伦理）。
该方法论可在 huby.ai/methodology 获取。
提前感谢您的帮助。
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There are a number of AI benchmarks but I feel they aren't practical when it comes to evaluating AI products. Several months back we started working on designing a methodology to independently evaluate AI products. After conducting a good bit of research, we tested the methodology on a few different categories of products and improvised it.
If this is an area of interest to you, may I request you to review this methodology and help us with feedback. A quick blurb on the structure of the methodology - It's a 3-tier framework starting with 6 high level evaluation categories (Quality, Security, Privacy & safety, Use cases & pricing, Sustainability & ecosystem, and Impact & ethics).
The methodology is available at huby.ai/methodology.
Thanks in advance.