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non-technical people. However, the quality of the generated code may vary
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And finally, be transparent about it. Candidates deserve to know how AI is being used in your evaluation process — which tools are involved, what they're measuring, and how those results factor into decisions. Beyond just being the ethical baseline, transparency actually tends to improve the candidate experience. People are generally a lot more comfortable with AI evaluation when they understand what's going on, rather than feeling like they're being judged by some invisible black box.
在2026年的就业市场中，熟练掌握AI工具进行协同办公已不再是加分项，而是类似“会用Office”的基础职业准则 [4, 25]。普通人的核心竞争力正发生显著位移：从过去的“执行力”转向“策划力（Curation）”与“裁判权（Judgment）” [4]。。谷歌浏览器【最新下载地址】对此有专业解读
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"Hey, you know what would be cool," a Nothing marketing person probably said at a recent meeting. "If we just posted a photo of our upcoming Nothing 4a online."