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English(EN) It's bad enough that UX train wrecks like this one ship to customers, even though the fix would be trivial. But now consider that training data for AI systems i

AI 从糟糕的 UX 中学习可能导致软件设计恶化

作者 PulseAugur 编辑部 · [1 个来源] ·

AI 系统正在从糟糕的用户体验设计中学习，这可能导致整体软件可用性下降。这个问题因不加区分地从所有在线来源（包括有缺陷的实现）抓取训练数据而加剧。因此，用于 UX 和交互设计的 AI 工具可能会延续甚至加剧糟糕的设计实践。 AI

影响 AI 系统可能因从有缺陷的在线示例中学习而延续和加剧糟糕的用户体验设计。

排序理由 该条目讨论了 AI 从有缺陷的用户体验中学习可能产生的负面影响，这是一种观点或分析，而非事实事件。

在 Mastodon — mastodon.social 阅读 →

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AI 从糟糕的 UX 中学习可能导致软件设计恶化

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该条目讨论了 AI 从有缺陷的用户体验中学习可能产生的负面影响，这是一种观点或分析，而非事实事件。
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报道来源 [1]

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

    UX 出现这种灾难性事故已属不幸，因为修复方案本可轻而易举。但现在，请考虑用于 AI 系统的训练数据 i

    It's bad enough that UX train wrecks like this one ship to customers, even though the fix would be trivial. But now consider that training data for AI systems is indiscriminately scraped from all sources. And that, therefore, AI systems for UX and interaction design will “learn" …

    链接 mastodon.well.com/…/117219915888165581

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